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UFC 227: Dillashaw vs. Garbrandt 2
Zhang Weili
Zhang Weili
16-1 · CHN
VS
Danielle Taylor
Danielle Taylor
9-3 · USA
August 4, 2018 · Los Angeles, California, USA
Strawweight · 3 rounds
115.5lb
Weigh-in
115.3lb
Zhang Weili def. Danielle Taylor by U-DEC, R3 5:00
Performance
Round by round
SSTDKDCtrl
R1
Weili27/611/200:48
Taylor9/290/100:00
R2
Weili24/700/000:00
Taylor13/420/000:00
R3
Weili26/630/000:00
Taylor12/520/000:00
Total
Weili77/1941/200:48
Taylor34/1230/100:00

Scorecards

Weili vs Taylor

RdGuilherme BravoRon McCarthySal D'AmatoCommunity
R110-910-910-910-9
R29-109-109-109.9-9.1
R310-910-910-910-9
Total29-2829-2829-2829.9-27.1

Media (17 cards) · avg 29.727.3 · 17 Weili · 0 Taylor

Official cards + public consensus via MMA Decisions. Per round: Weili-Taylor.

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
WeiliWin probabilityTaylor
87.6%12.4%
KO / TKO
23%
Submission
11%
Decision
67%
Expected fight time: 12.3 min
What drives the pick

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

Predicted outcomes
Weili88%
Wins by
Model
Equity
Mkt
KO / TKO22%24%
Submission10%12%
Decision56%64%
Predicted output
Sig. strikes63 (3682)act 77
Takedowns1.2 (0.03.2)act 1
Taylor12%
Wins by
Model
Equity
Mkt
KO / TKO1%11%
Submission1%4%
Decision10%85%
Predicted output
Sig. strikes37 (2148)act 34
Takedowns0.2 (0.00.9)act 0
Combined totals~100 sig strikes~1.4 takedownsmkt —
How it ends
mkt —
R115%
R27%
R312%
Distance66%
Fighter props
Most sig. strikestie 1.0%
Weili
72.7%-276
Taylor
+27626.4%
Most takedownstie 29.2%
Weili
60.8%-607
Taylor
+60710.0%
Significant strikes — over/under
Weili
Expected: 63.1
63
Over 63
42.1%
+135
Exactly 63
1.1%
push
Under 63
56.8%
-135
079158
Taylor
Expected: 37.1
37
Over 37
41.8%
+135
Exactly 37
1.8%
push
Under 37
56.4%
-135
04793
Takedowns — over/under
Weili
Expected: 1.2
1
Over 1
42.4%
-136
Exactly 1
26.3%
push
Under 1
31.2%
+136
035
Taylor
Expected: 0.2
0
Over 0
22.3%
Exactly 0
77.7%
push
Under 0
0.0%
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 12.3 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
Weili87.6%73.3%+14.3-320
Taylor12.4%26.7%−14.3+260

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
Str/minStr accStr defAbsorbedTD/15TD accTD defSubs
Hover a point to see the values
WeiliTaylor
Tale of the tape
Ratings (Elo)
1545
Pound-for-pound
1522
1545
Divisional
1522
1500
Striking offense
1485
1533
Striking defense
1515
1480
Grappling offense
1469
1500
Grappling defense
1527
Physical
28 yrs
Age
28 yrs
5'4"
Height
5'0"
63"
Reach
60"
Switch
Stance
Orthodox
Striking (UFC career)
Strikes landed / min
2.87
Strike accuracy
30%
Strikes absorbed / min
2.85
Strike defense
75%
Grappling (UFC career)
Takedowns / 15 min
0.25
Takedown accuracy
25%
Takedown defense
75%
Sub attempts / 15 min
0.0
Form & résumé
UFC win rate
50%
Win/loss streak
-1
Last-5 win rate
50%
Finish rate
0%
Recent opp. quality
Days since last fight
202
Recent form (last 5 UFC)
Zhang Weili
No prior UFC fights.
Danielle Taylor
  • LJJ AldrichU-DEC R3
    Close +1107mo before
  • WJessica PenneU-DEC R3
    Close -1101y 3mo before
  • WSeo Hee HamS-DEC R3
    Close -1101y 8mo before
  • LMaryna MorozS-DEC R3
    Close +2352y before
Weili — win / loss by method
Record: 16-1-0

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
9 wins, 0 losses
W
56% of wins
L
0% of losses
Submission
6 wins, 0 losses
W
38% of wins
L
0% of losses
Decision
1 win, 1 loss
W
6% of wins
L
100% of losses
UFC
0win0loss0draw0NC
WinsLosses
0 ()KO/TKO() 0
0 ()Submission() 0
0 ()Decision() 0
Non-UFC
16win1loss0draw0NC
WinsLosses
9 (56%)KO/TKO(0%) 0
6 (38%)Submission(0%) 0
1 (6%)Decision(100%) 1
Taylor — win / loss by method
Record: 9-3-0

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
3 wins, 1 loss
W
33% of wins
L
33% of losses
Submission
1 win, 0 losses
W
11% of wins
L
0% of losses
Decision
5 wins, 2 losses
W
56% of wins
L
67% of losses
UFC
2win2loss0draw0NC
WinsLosses
0 (0%)KO/TKO(0%) 0
0 (0%)Submission(0%) 0
2 (100%)Decision(100%) 2
Non-UFC
7win1loss0draw0NC
WinsLosses
3 (43%)KO/TKO(100%) 1
1 (14%)Submission(0%) 0
3 (43%)Decision(0%) 0

Profiles

Experience
Weili
Taylor
0
UFC fights
4
Octagon time
60.0 min · 15.0 avg
Career length
12y 5m
UFC schedule strength

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

Weili
Taylor
Overall
41W–14L · 74.5%
Wins
29W–11L · 72.5%
Losses
12W–3L · 80.0%
Non-UFC schedule strength
Weili
Taylor
92W–52L · 63.9%
Overall
13W–9L · 59.1%
92W–52L · 63.9%
Wins
12W–9L · 57.1%
0W–0L
Losses
1W–0L · 100.0%
Distance striking
Weili
Taylor
Landed / min
2.94
Accuracy
29.3%
Defense
76.9%
Knockdowns / 15 min
0.00
Time at distance
93.0%
Grappling & control
Weili
Taylor
Takedowns / 15 min
0.25
Takedown accuracy
25.0%
Takedown defense
75.0%
Sub attempts / 15 min
0.00
Control share
0.7%
Strike target map
Weili
  • Head0%(0)div 62%
  • Body0%(0)div 22%
  • Legs0%(0)div 16%
  • No strike data on record.
Taylor
  • Head63%(108)div 62%
  • Body14%(24)div 22%
  • Legs23%(40)div 16%

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

Zhang Weili

No UFC fights on record.

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

Danielle Taylor
CloseSSTDKDCtrl

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