How the fight is won changes the lineup.

The first research priorities

The two five-round fights need separate volume and control scenarios. The narrative leans toward Evloev and Yan by decision, but that does not make their opponents irrelevant to fantasy scoring. A fighter can lose competitively while producing useful activity, and the winner’s score depends on how the win occurs. For cash, test both sides of a long fight only after salary and scoring distributions show whether that combination helps. For tournaments, do not assume both fighters from one bout belong in a winning six-fighter lineup.

Murzakanov, Yakhyaev and Chopurov are the supplied finish leans to investigate using the matched salaries. They are not confirmed value plays. The draft also treats Temirov and Keita as important counter-scripts: an early damaging exchange could overturn the preferred technical route. Keep those alternate outcomes in the model rather than allowing a narrative winner to receive all of the fight’s high-end scoring outcomes. No underdog label is assigned without checking current prices.

Alexander Volkanovski vs. Movsar Evloev

Supplied on-paper lean: Movsar Evloev by decision. Official salaries: Alexander Volkanovski $8,200; Movsar Evloev $8,000. The central comparison is five-round wrestling pressure versus distance striking.

Test successful takedowns, returns to the mat, time in control and the ability to sustain output late. Do not award fantasy points for defended attempts. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Volkanovski keeps the fight at his preferred range and wins enough exchanges while denying sustained control. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Petr Yan vs. Merab Dvalishvili

Supplied on-paper lean: Petr Yan by decision. Official salaries: Petr Yan $8,800; Merab Dvalishvili $7,400. The central comparison is cleaner striking versus repeated wrestling pressure.

Compare scoring routes in both directions across five rounds. A decision lean does not determine which fighter has the higher fantasy ceiling. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Dvalishvili converts entries into sustained offense and prevents Yan from controlling the striking exchanges. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Lone’er Kavanagh vs. Ramazan Temirov

Supplied on-paper lean: Lone’er Kavanagh by late ko/tko. Official salaries: Lone’er Kavanagh $7,900; Ramazan Temirov $8,300. The central comparison is technical distance management versus early explosive offense.

Use separate early-loss and later-success branches. A single broad score distribution would hide the research’s main uncertainty. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Temirov lands the damaging early exchange before Kavanagh establishes a controlled pace. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Alexander Volkov vs. Rizvan Kuniev

Supplied on-paper lean: Alexander Volkov by decision. Official salaries: Alexander Volkov $8,400; Rizvan Kuniev $7,800. The central comparison is outside striking versus clinch and positional pressure.

A projected decision win may still be insufficient at an expensive salary. The matched salary provides the price; current volume and winning-score assumptions are still needed before a cash or GPP label. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Kuniev forces extended close-range exchanges and wins enough positional battles to take rounds. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Aaron Pico vs. Losene Keita

Supplied on-paper lean: Aaron Pico by decision. Official salaries: Aaron Pico $8,300; Losene Keita $7,900. The central comparison is wrestling-first discipline versus a dangerous striking exchange.

Model a wrestling-led win and a damaging early loss separately. Do not assign a safe floor merely because the technical assessment favors Pico. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Keita finds the decisive striking exchange before Pico establishes his preferred grappling game. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Azamat Murzakanov vs. Dominick Reyes

Supplied on-paper lean: Azamat Murzakanov by ko/tko. Official salaries: Azamat Murzakanov $9,000; Dominick Reyes $7,200. The central comparison is power entries versus range and a longer fight.

Prioritize finish timing when the official salaries and current finish markets arrive. Early-finish upside is an avenue to test, not an established bargain. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Reyes maintains distance, avoids the early power exchanges and benefits as the fight extends. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Nikita Krylov vs. Abdul Rakhman Yakhyaev

Supplied on-paper lean: Abdul Rakhman Yakhyaev by ko/tko. Official salaries: Nikita Krylov $6,800; Abdul Rakhman Yakhyaev $9,400. The central comparison is immediate pressure and wrestling transitions versus veteran counter-opportunities.

Distinguish early stoppage scoring from an extended fight. Do not turn a finishing lean into a numeric win or optimal-lineup probability. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Krylov survives the initial pressure and turns later scrambles into meaningful offense or a submission threat. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Abus Magomedov vs. Cam Rowston

Supplied on-paper lean: Cam Rowston by decision. Official salaries: Abus Magomedov $8,400; Cam Rowston $7,800. The central comparison is early explosiveness and control versus sustained later pace.

Tie the score distribution to when each fighter succeeds. A late decision route may be useful at one salary and unattractive at another. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Magomedov converts early offense into a finish or maintains enough control to prevent Rowston’s pace from taking over. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Grant Dawson vs. Nurullo Aliev

Supplied on-paper lean: Grant Dawson by decision. Official salaries: Grant Dawson $8,500; Nurullo Aliev $7,700. The central comparison is competing wrestling games with submission transitions as a potential separator.

Do not project both fighters for unrestricted offensive wrestling at once. Shared time and position constrain what each can score. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Aliev spends enough of the fight on top to suppress Dawson’s offense and win rounds. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Colby Thicknesse vs. Asaf Chopurov

Supplied on-paper lean: Asaf Chopurov by submission. Official salaries: Colby Thicknesse $6,700; Asaf Chopurov $9,500. The central comparison is early offensive transitions versus survival and a longer technical fight.

Separate submission, other finish and decision branches. The supplied narrative’s finishing preference does not establish a verified submission percentage. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Thicknesse denies the early transitions and makes Chopurov work through a longer competitive fight. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Jacob Malkoun vs. Abubakar Vagaev

Supplied on-paper lean: Abubakar Vagaev by decision. Official salaries: Jacob Malkoun $7,300; Abubakar Vagaev $8,900. The central comparison is a close positional matchup between competing wrestling approaches.

Treat the lean as low separation. Model which fighter is on offense rather than adding both fighters’ historical takedown rates without interaction. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Malkoun initiates successfully and makes Vagaev spend the critical minutes defending. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Bolaji Oki vs. Daniel Santos

Supplied on-paper lean: Daniel Santos by ko/tko. Official salaries: Bolaji Oki $7,600; Daniel Santos $8,600. The central comparison is range and volume versus pressure and damaging close exchanges.

Test a high-variance fight environment without assuming it guarantees a tournament score. Use the matched salary with current ownership and a winning-score forecast to judge value. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Oki controls range, disrupts entries and accumulates offense without accepting the preferred exchanges of Santos. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Iasmin Lucindo vs. Nicolle Caliari

Supplied on-paper lean: Iasmin Lucindo by decision. Official salaries: Iasmin Lucindo $9,200; Nicolle Caliari $7,000. The central comparison is broader control of the exchanges versus an opportunistic submission path.

Review current activity, camp and weigh-ins before treating a favorable skill assessment as a dependable floor. A decision winner can miss a top six at a high price. This is a modeling question, not a numeric projection or an exposure target. Price and field ownership must be considered alongside the preferred fight outcome.

The opposing path: Caliari creates a dangerous grappling transition and converts the opportunity into a finish. A model built only around the preferred winner would understate this uncertainty. Review whether the final salary makes the opponent useful in a limited tournament group, and what finishing or volume outcome would actually get that fighter into the top six.

Steele versus Gugnon: do not invent the missing pick

This matchup appears in the checked UFC listing but not in the thirteen supplied breakdowns. Both fighters now match the official supplied salary export; their qualitative breakdown and current numeric forecasts remain missing. Do not borrow a similarly named fighter’s forecast or assign the card’s average projection. The research gap matters because one overlooked low-salary finish can change which six-fighter combinations are optimal. A complete event requires every eligible matchup to receive a defensible score distribution.

Six winners is not a complete DFS strategy

Choosing the most likely winner in each of six fights does not necessarily produce the best fantasy lineup. An expensive decision winner may score less than a cheaper winner who generates a finish or repeated successful grappling actions. Conversely, an apparently exciting finisher can be too unlikely to win or too expensive to justify the roster. The comparison needs salary, win probability, outcome-specific score and ownership. None of those missing numeric inputs can be derived reliably by assigning arbitrary confidence percentages to prose.

For a tournament portfolio, decide which fighters are candidates to lead the slate in scoring and which provide salary release without destroying that path. Keep win probability distinct from optimal-lineup probability. A fighter with a modest chance to win can still have a meaningful share of the highest-scoring outcomes, while a frequent winner may rarely provide enough points at his salary. Those are propositions to measure once the score model is ready, not reasons to force a low-owned fighter into every roster.

Model both fighters together

Each simulated bout needs one coherent result. Do not independently let both fighters win, collect a victory bonus or score incompatible finish bonuses. Select the winner, method and round under explicit assumptions, then generate activity and losing-side scoring consistent with that outcome. The two sides share time in the same fight; sustained control by one constrains offense by the other. Defended takedown attempts are not the same event as successful takedowns. Verify the actual scoring rules instead of rewarding a compelling description of pressure.

Decision fights still need a range of scores. Control, successful takedowns, reversals and striking can produce very different totals from the same named winner. A finish also has timing and activity uncertainty. The outcome model should allow a low-activity early finish and a high-activity later finish rather than treating one method label as a single fixed fantasy score. After constructing those outcomes, check whether the mean and spread agree with the forecast and whether tail probabilities remain plausible.

Cash and tournaments ask different questions

A cash lineup is evaluated against its actual paid threshold. A long-fight stack may reduce some winner uncertainty but uses two roster slots in one event; it needs a salary and score-distribution test. A single-entry tournament asks for one complete combination with a credible payout profile. A large-field multi-entry contest also needs duplication and portfolio control. Do not label all favorites cash locks or all finishers tournament locks before seeing the price.

For a future 2,000-candidate search, use the official salary cap and unique eligible fighters, then assess each candidate against the selected contest’s field and exact payout ladder. Select the final entries within that contest’s cap. Recheck exposures after sorting because the top-ranked subset can become much more concentrated than the original pool. If ten of the chosen lineups rely on the same questionable workload or matchup assumption, rotating the last fighter has not removed the underlying risk.

Betting opinions need current odds

A predicted winner or method is not a positive-EV wager without an executable price and an independently defensible fair probability. Compare current two-sided markets, remove the reference margin under a stated method and account for the platform’s actual fees. A stylistic lean can inform research but is not sufficient to claim a measured edge. Any eventual public bet needs its market, available price, maximum playable price, timestamp and settlement rules. The uploaded older-card implied percentages are not current UFC 333 prices.

What is needed before the builder can go live

The current official DraftKings salaries and IDs are matched. Next confirm the final card and weigh-ins, obtain a timestamped ownership estimate with a clear definition, and build coherent win/loss score distributions for every eligible fighter. Each bout’s two win probabilities must reconcile, while draws and no-contests need explicit handling where applicable. Then add the actual contest fields, entry limits and complete payouts. Retain the input version so a later result review can distinguish a model mistake from a changed card or a stale market.

The early article intentionally stops short of a ranked cash core, final exposures, simulated ROI or a recommended DK upload file. Official salaries are matched; those additional outputs still require current projections, ownership and completed modeling. The useful head start is a reconciled set of fight questions, source leans, counter-scripts and validation needs. Update it after the card and market inputs arrive, then test whether the original research still supports the same construction choices.

Current salaries: the first useful construction tests

The October 24 official salary export now supplies twenty-eight fighters in fourteen paired matchups. All research names reconcile with that file, including Kody Steele and Noah Gugnon. This resolves price, opponent grouping and official fighter IDs. It does not supply current projection means, finish probabilities or ownership. Average points per game is historical output and is not substituted for a forecast. The twenty-six-fighter Edmonton file remains a separate event, even though it contains both projections and scored results.

Evloev at $8,000 is a natural first price comparison because the supplied on-paper lean favors his five-round route. Yan costs $8,800 and Dvalishvili $7,400; Volkanovski is $8,200. Those salary gaps help define the choice, but they do not make Dvalishvili a confirmed value or Yan a cash lock. Compare winning and losing score distributions before deciding whether paying up improves the complete lineup. The written leans are from an on-paper comparison system, not the still-pending analyst audio.

Kavanagh at $7,900 and Rowston at $7,800 are the less expensive source-lean winners to investigate. Both research paths have an explicit early-danger branch, so neither should be presented as a safe salary release. Pico is $8,300 opposite Keita at $7,900. That $400 gap is small enough that the fight-path and ownership comparison may matter more than the discount. Volkov is $8,400 opposite Kuniev at $7,800; a predicted decision needs enough scoring activity to justify using either at the final price.

The more expensive finish research group is Chopurov $9,500, Yakhyaev $9,400 and Murzakanov $9,000. Together they cost $27,900, leaving $22,100 for three positions under a $50,000 construction assumption. That means the remaining three must average about $7,367. A roster that starts with all three therefore needs genuine low-salary winning or high-scoring paths. Simply calling them the strongest finish candidates does not resolve the supporting lineup. Lucindo at $9,200 and Vagaev at $8,900 also require a full-roster comparison rather than automatic inclusion based on the source leaning toward them.

Dawson costs $8,500 opposite Aliev at $7,700, and Santos is $8,600 opposite Oki at $7,600. The source’s preferred side and the cheaper side are distinct considerations. Steele $8,700 versus Gugnon $7,500 remains the missing qualitative breakdown; neither receives an invented pick. These are salary-based research priorities, not a sorted cash core or a claim of positive expected profit. The next update needs current numeric projections, ownership, actual contests and the audio opinions when they become available.

A five-round favorite can be good without being a lock

Evloev and Yan are the supplied research leans in the two title fights, and both are described as decision routes. That gives the research a starting structure, but it does not settle which fighter belongs in a lineup. Five rounds create time for repeated successful actions, yet that time is conditional on the fight continuing. A model should account for an earlier finish, a low-output decision and a high-volume decision rather than giving every favorite a full twenty-five minutes of scoring. The same duration can produce very different fantasy outcomes depending on who controls the exchanges.

For Evloev, the central DFS question is how often the proposed wrestling pressure turns into successful scoring actions and sustained offense. The source’s view that pressure can win rounds should not be translated directly into a specific fantasy total. For Yan, a decision prediction needs enough striking or other scored activity to compete with finish winners elsewhere. Examine each fighter’s winning-score distribution and the salary sacrificed to roster him. A strong opinion about who receives the belt can coexist with a less attractive DFS price.

The opposing fighters also need realistic scores. If Volkanovski denies extended control and lands consistently, that can alter both his own result distribution and Evloev’s. If Dvalishvili repeatedly succeeds with his offense, Yan’s presumed striking advantage may not produce the same volume. These interactions matter more than independently drawing four fighter totals from unrelated normal distributions. No version of the model should let both opponents receive mutually incompatible victory outcomes simply because each has an appealing standalone projection.

Finish upside must be priced against failure

Murzakanov, Yakhyaev and Chopurov are useful research priorities because their supplied routes involve a finish. A finish route is not an ownership target or a claim that all three should appear together. Ask how likely each fighter is to win, how much of his winning probability belongs to a finish, and how the possible finish timing changes the score. A high score conditional on victory may still have a small overall probability when the matchup is uncertain. Comparing only the best-case outcome can produce an expensive lineup that fails together too often.

Next, inspect affordability. If the three fighters are all expensive in the current salary file, using them together may force several fragile underdogs into the remaining positions. If one is cheaper, that could be valuable, but the price must be checked rather than recalled from an older event. The opportunity cost is the projected performance and upside of the whole six-fighter roster. An early finish by one fighter is not sufficient if two supporting fighters have no credible path to keep pace with the contest winner.

Counter-scripts remain important even when the narrative prefers a stoppage. A veteran surviving the first round can change the expected pace, decision likelihood and later scoring. A submission threat can fail to materialize while the favorite still wins a relatively quiet decision. Retain those branches and evaluate their consequences for both fighters. That is more informative than attaching a large ceiling number to the preferred finisher and treating every other result as a minor deviation around the same fantasy mean.

How to treat the dangerous opposing side

Temirov and Keita are specifically relevant to the source’s uncertainty: their early offense could defeat a preferred technical route. That makes them names to price, not automatic contrarian selections. They might be underdogs, favorites or close to even when the actual market is checked. Describe them as opposing fight paths until those prices are available. The DFS question is whether their favorable outcomes occur often enough, score well enough and cost little enough to improve a complete lineup against the expected field.

A practical exposure review for twenty and 150 entries

Exposure limits should express a deliberate choice about uncertainty and concentration. They are not promises that a fighter will be optimal a certain share of the time. For an early research edition with matched salaries but missing current projections and ownership, fixed percentages would be premature. Once the inputs arrive, first build a legal candidate set, then examine whether it overuses one favorite, one salary-saving opponent or one fight script. Tighten controls where a single uncertain assumption drives too much of the portfolio.

Final selection can change exposure dramatically. A fighter appearing in a moderate share of two thousand candidates might dominate the first 150 after an ROI sort. Therefore calculate and display exposure again on the selected set. The same principle applies to pairings and six-fighter duplicates, not only individuals. A portfolio can satisfy every individual maximum while remaining concentrated in a few closely related outcomes. Review that dependence before treating a diversified list of names as a diversified set of entries.

Keep the optimal records honest

The projected optimal is the legal lineup with the highest sum of the frozen pre-lock projections under clearly documented roster rules. It is not necessarily the best tournament lineup and is not a forecast that all six fighters will win. Save the source file, timestamp, salaries, rules, exclusions and calculation method with it. If the calculation was heuristic rather than exhaustive, call it the best lineup found rather than claiming a proven optimum. A later projection update should create a new version rather than overwrite what members originally saw.

Contest-selected lineups are a separate record. They depend on the chosen field, payout structure, ownership assumptions, score distributions, tie handling and portfolio constraints. Record the simulation seed, number of trials, candidate pool and selected lineup IDs. That allows a later review to explain why a projected-optimal lineup was not among the final tournament entries. Without that information, it is too easy to mistake a difference in objective for a software error or to claim that a winning roster was recommended when it was only somewhere in the search pool.

The hindsight optimal uses final fantasy scores under the actual contest’s legal roster and salary restrictions. It can only be calculated after results are available, and it must not be confused with the first-place entry in one field. A contest winner can score below the true legal maximum, and several lineups can tie for that maximum. Preserve all tied optimal groups when practical, then inspect how close the generated and selected rosters came. The lesson is which forecast or construction choice missed the result, not that a single perfect hindsight lineup should become next week’s default.

The newly uploaded twenty-six-fighter file is retained separately as an Edmonton-card snapshot, not a UFC 333 input. Its scored column contains supplied results that have not been independently verified, and its salary IDs have not been matched to a current official export. We retain exhaustive benchmarks using its Projected and Scored columns under stated roster assumptions, without calling those verified official contest optimals or placing its fighters into this weekend’s builds. The weekend ledger explicitly marks projected optimal, contest selection and hindsight optimal as pending until the necessary current inputs exist. That preserves the meaning of the record while still retaining the older snapshot for a later review.

Research provenance

The matchup leans and stylistic hypotheses come from an owner-supplied on-paper comparison system, distinct from the pending analyst audio, paraphrased and condensed. The DFS implications, alternative scenarios and validation requirements are editorial synthesis. Biographical records and precise historical rates in the source have not been independently verified and are not reproduced as confirmed facts. Official card reference: https://www.ufc.com/event/ufc-333 . The companion pricing grid is a different card and remains excluded from this release’s current-event model.