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UFC Fight Night: Jedrzejczyk vs Penne
Taylor Lapilus
Taylor Lapilus
9-1 · FRA
VS
Yuta Sasaki
Yuta Sasaki
18-2-2 · JPN
June 20, 2015 · Berlin, Berlin, Germany
Bantamweight · 3 rounds
135.0lb
Weigh-in
135.0lb
Taylor Lapilus def. Yuta Sasaki by KO/TKO (Punches), R2 1:26
Performance
Round by round
SSTDKDCtrl
R1
Lapilus20/380/102:13
Sasaki13/231/500:53
R2 · 1:26
Lapilus11/220/010:07
Sasaki3/180/100:00
Total
Lapilus31/600/112:20
Sasaki16/411/600:53

Pre-fight

The model's read going in

The walk-forward model's call at the time of the bout — persisted out-of-sample, with no hindsight about the result.

Prediction
LapilusWin probabilitySasaki
46.4%53.6%
KO / TKO
22%
Submission
52%
Decision
26%
Expected fight time: 7.0 min
What drives the pick

Each bar is a feature's push on the model from the center axis. Red pushes toward Lapilus, blue toward Sasaki. Tap a bar for why.

Predicted outcomes
Lapilus46%
Wins by
Model
Equity
Mkt
KO / TKO9%20%
Submission25%54%
Decision12%26%
Predicted output
Sig. strikes27 (1536)act 31
Takedowns0.4 (0.01.7)act 0
Sasaki54%
Wins by
Model
Equity
Mkt
KO / TKO13%24%
Submission27%50%
Decision14%26%
Predicted output
Sig. strikes19 (1024)act 16
Takedowns0.6 (0.02.3)act 1
Combined totals~46 sig strikes~1.0 takedownsmkt —
How it ends
mkt —
R158%
R26%
R310%
Distance26%
Fighter props
Most sig. strikestie 2.2%
Lapilus
65.7%-204
Sasaki
+20432.1%
Most takedownstie 39.7%
Lapilus
22.7%+166
Sasaki
-16637.7%
Significant strikes — over/under
Lapilus
Expected: 27.4
27.5
Over 27.5
42.2%
+137
Under 27.5
57.8%
-137
03569
Sasaki
Expected: 18.6
18.5
Over 18.5
42.9%
+133
Under 18.5
57.1%
-133
02447
Takedowns — over/under
Lapilus
Expected: 0.4
0.5
Over 0.5
34.1%
+194
Under 0.5
65.9%
-194
035
Sasaki
Expected: 0.6
0.5
Over 0.5
48.2%
+107
Under 0.5
51.8%
-107
035

Odds are model-implied (no real prop market is priced for these). The “most” prices are draw-no-bet — a tie (for takedowns, usually 0–0) is a push, so each side is priced off its chance of winning given a result, while the % shown is the raw chance of landing strictly more. Drag a line in half-point steps: a half line (e.g. 2.5) is a clean over/under, while a whole number adds a third outcome — landing exactly on it, a push — so over, exact and under sum to 100%. On a whole number the over/under odds are draw-no-bet (priced off the decisive mass, since the push refunds), so the two sides stay mirror images rather than implying an arbitrage.

Expected fight time 7.0 min. Predicted-output ranges are percentiles of the model’s simulated fights: sig strikes the middle 50% (25th–75th); takedowns the wider 10th–90th, since they’re 0 in most fights so a narrow band would collapse to 0. Win-by-method = win probability × that fighter’s own method split: the model forecasts how the fight ends, and that forecast is divided between the corners by each fighter’s finishing record — UFC wins in full, earlier-career wins at half weight, as of fight night — reconciled so the fighters’ totals still equal their win probabilities and the methods still total the fight-level forecast above. “Equity” is each of those over that fighter’s win % — how they win given that they win — so a column adds to 100%, and it differs by corner. A fighter with no classifiable wins at any level leans on the fight-level split. “How it ends” is the model’s round-of-finish split. “Mkt” is the de-vigged market prop (consensus across books), shown for context, not as a betting signal; rounds & totals slots fill as that data lands. Percentages are apportioned by largest remainder, so each set adds to its total exactly and an individual figure can sit a point off its own rounding.

Model vs market
Final
ModelMarketGapLine
To win
Lapilus46.4%28.5%+17.9+240
Sasaki53.6%71.5%−17.9-280

Market % is the de-vigged (no-vig) consensus across the books that price both fighters; the line is the average across books with the min–max range in parentheses. Gap is the model minus the market in points (+ = the model rates that outcome above the market). Thin or one-sided markets are flagged or left blank rather than shown as a fabricated %. Shown for context, not as a bet — the closing line is the sharpest public price and the model trails it on average. For 5-round bouts the model splits its round-3+ finish mass into rounds 3–5 by the historical within-bucket rate, so the over-3.5 / 4.5 lines carry a model estimate.

Trait web
77.2Striking53.5
Lapilus +23.8
72.5Grappling56.7
Lapilus +15.8
Str/minStr accStr defAbsorbedTD/15TD accTD defSubs
Hover a point to see the values
LapilusSasaki
Tale of the tape
Ratings (Elo)
1535
Pound-for-pound
1552
1520
Divisional
1552
1500
Striking offense
1488
1503
Striking defense
1503
1503
Grappling offense
1551
1502
Grappling defense
1536
Physical
23 yrs
Age
25 yrs
5'6"
Height
5'10"
73"
Reach
71"
Southpaw
Stance
Southpaw
Striking (UFC career)
5.33
Strikes landed / min
1.26
56%
Strike accuracy
48%
2.47
Strikes absorbed / min
2.52
49%
Strike defense
37%
Grappling (UFC career)
2.00
Takedowns / 15 min
1.45
67%
Takedown accuracy
33%
90%
Takedown defense
33%
1.0
Sub attempts / 15 min
2.9
Form & résumé
100%
UFC win rate
50%
+1
Win/loss streak
-1
100%
Last-5 win rate
50%
0%
Finish rate
100%
Recent opp. quality
70
Days since last fight
182
Recent form (last 5 UFC)
Taylor Lapilus
  • WRocky LeeU-DEC R3
    Close -1502mo before
Yuta Sasaki
  • LLeandro IssaSUB R2
    Close -5006mo before
  • WRoland DelormeSUB R1
    Close -15010mo before
Lapilus — win / loss by method
Record: 9-1-0

Bar length is fight count (largest bar = full width); shading splits finishes by round and decisions by unanimous vs split — tap a bar for the round-by-round count.

KO/TKO
0 wins, 0 losses
W
0% of wins
L
0% of losses
Submission
6 wins, 0 losses
W
67% of wins
L
0% of losses
Decision
3 wins, 1 loss
W
33% of wins
L
100% of losses
UFC
1win0loss0draw0NC
WinsLosses
0 (0%)KO/TKO() 0
0 (0%)Submission() 0
1 (100%)Decision() 0
Non-UFC
8win1loss0draw0NC
WinsLosses
0 (0%)KO/TKO(0%) 0
6 (75%)Submission(0%) 0
2 (25%)Decision(100%) 1
Sasaki — win / loss by method
Record: 18-2-2

Bar length is fight count (largest bar = full width); shading splits finishes by round and decisions by unanimous vs split — tap a bar for the round-by-round count.

KO/TKO
2 wins, 0 losses
W
11% of wins
L
0% of losses
Submission
9 wins, 1 loss
W
50% of wins
L
50% of losses
Decision
7 wins, 1 loss
W
39% of wins
L
50% of losses
UFC
1win1loss0draw0NC
WinsLosses
0 (0%)KO/TKO(0%) 0
1 (100%)Submission(100%) 1
0 (0%)Decision(0%) 0
Non-UFC
17win1loss2draw0NC
WinsLosses
2 (12%)KO/TKO(0%) 0
8 (47%)Submission(0%) 0
7 (41%)Decision(100%) 1

Profiles

Experience
Lapilus
Sasaki
1
UFC fights
2
15.0 min · 15.0 avg
Octagon time
10.3 min · 5.2 avg
14y 4m
Career length
16y 4m
UFC schedule strength

Opponents' records on fight night — toggle their full cross-promotional record vs UFC bouts only.

Lapilus
Sasaki
3W–0L · 100.0%
Overall
21W–7L · 75.0%
3W–0L · 100.0%
Wins
9W–3L · 75.0%
0W–0L
Losses
12W–4L · 75.0%
Non-UFC schedule strength
Lapilus
Sasaki
21W–18L · 53.8%
Overall
90W–58L · 60.8%
17W–18L · 48.6%
Wins
81W–52L · 60.9%
4W–0L · 100.0%
Losses
9W–6L · 60.0%
Distance striking
Lapilus
Sasaki
6.19
Landed / min
5.69
42.7%
Accuracy
45.8%
56.7%
Defense
48.0%
0.00
Knockdowns / 15 min
0.00
50.6%
Time at distance
18.7%
Grappling & control
Lapilus
Sasaki
2.00
Takedowns / 15 min
1.45
66.7%
Takedown accuracy
33.3%
90.0%
Takedown defense
33.3%
1.00
Sub attempts / 15 min
2.91
35.0%
Control share
13.9%
Strike target map
Lapilus
  • Head56%(45)div 63%
  • Body33%(26)div 21%
  • Legs11%(9)div 16%
Sasaki
  • Head69%(9)div 63%
  • Body8%(1)div 21%
  • Legs23%(3)div 16%

Where each fighter lands significant strikes (career). “div” = the weight-class average.

Taylor Lapilus
CloseSSTDKDCtrl

Per-fight: SS & TD shown landed/attempted; Close = consensus closing line.

Yuta Sasaki
CloseSSTDKDCtrl

Per-fight: SS & TD shown landed/attempted; Close = consensus closing line.