RallyIQ

Game plan

Talia Gibson v Serena Williams

Every number combines what Talia Gibson does well with what Serena Williams allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Talia Gibson wins, best of 3 15%90%: 7%–28% · best of 5: 10%
Serve points won 58.6% / 66.6% Talia / Serena · tour 56.4%
Strengths only, no similarity priors 15%serve 57.8% / 66.0%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Talia Gibson's record against Serena Williams's tactical lookalikes and in their charted head-to-heads (lookalikes: +6.1 on serve, −5.3 on return vs expectation (425 points)). A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerTaliaSerena
Direction choice+0.26 ±0.05
better than 91%
+0.34 ±0.04
better than 97%
Shot selection+0.01 ±0.09
better than 45%
+0.47 ±0.05
better than 93%
Execution−0.47 ±0.93
better than 35%
−0.04 ±0.27
better than 59%
Points left on the table2.25 ±0.11
lower than 89%
2.20 ±0.07
lower than 94%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Structural compatibility

Expected edge per 100 rally shots from style alone: Talia Gibson −1.54, Serena Williams ±0.00. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Talia Gibson serving

Deuce court

1st serveNowTalia winsv SerenaMatchupOptimal
Wide43%68%65%66.5%±5.659% ▲
Body10%55%53%51.0%±9.60% ▼
T46%74%66%72.3%±5.741% ▼

Optimal v Serena Williams: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTalia winsv SerenaMatchupOptimal
Wide51%74%66%74.6%±5.866% ▲
Body6%54%57%55.1%±11.30% ▼
T43%69%61%65.8%±6.134% ▼

Optimal v Serena Williams: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 per 100 first serves in before the returner adjusts.

Serena Williams serving

Deuce court

1st serveNowSerena winsv TaliaMatchupOptimal
Wide50%70%72%75.9%±4.743% ▼
Body8%62%56%60.7%±8.30% ▼
T42%79%76%85.2%±4.257% ▲

Optimal v Talia Gibson: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSerena winsv TaliaMatchupOptimal
Wide45%75%69%77.4%±5.236% ▼
Body6%60%55%58.5%±10.30% ▼
T49%70%67%72.2%±5.264% ▲

Optimal v Talia Gibson: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.8 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Talia Gibson returning

1st serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle48%+4.2+0.7−1.3+3.5±2.2
FH crosscourt25%+5.3−3.2−4.0−1.9±3.5
FH down the line19%+1.5−3.1−1.4−3.0±3.9
FH slice through the middle5%−6.7−1.6+2.1−6.2±2.1
FH slice crosscourt3%−6.6−1.2−2.4−10.2±2.3

Lean FH through the middle: +3.5±1.6 per 100 returns v the current mix (296 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SerenaValue
BH through the middle35%+6.0+0.1−1.0+5.1±2.3
BH crosscourt30%+7.7−7.3−0.2+0.2±3.1
BH down the line12%+2.2+3.9−4.1+1.9±3.9
BH slice through the middle10%−6.2−0.5−0.2−7.0±2.1
BH slice crosscourt7%−4.2−0.8−2.8−7.8±2.6

Lean BH through the middle: +5.0±1.9 per 100 returns v the current mix (181 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SerenaValue
FH through the middle46%−3.2+0.4−0.9−3.7±2.5
FH crosscourt31%+0.5+3.2−3.0+0.7±3.7
FH down the line23%−0.6−3.3+0.6−3.3±4.3

Lean FH crosscourt: +2.9±3.0 per 100 returns v the current mix (84 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SerenaValue
BH crosscourt53%+1.5−0.1−0.2+1.2±2.9
BH through the middle34%−2.6+0.2−0.3−2.7±2.2
BH down the line13%−0.5+0.2−2.1−2.4±4.2

Lean BH crosscourt: +1.8±1.6 per 100 returns v the current mix (149 returns charted)

Serena Williams returning

1st serve to the forehand

ReturnNowTourOwnv TaliaValue
FH through the middle49%+4.2−2.6+1.2+2.8±2.1
FH crosscourt36%+5.3−1.6−0.6+3.1±3.4
FH down the line11%+1.5−0.4+0.7+1.9±4.1
BH through the middle1%+5.2−3.4+1.8+3.6±2.7
FH slice through the middle1%−6.7−0.7−2.2−9.6±2.3

Lean BH through the middle: +0.9±3.2 per 100 returns v the current mix (2166 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TaliaValue
BH through the middle48%+6.0+0.3+1.8+8.1±2.1
BH crosscourt33%+7.7+1.3+1.3+10.3±2.9
BH down the line12%+2.2+1.1−0.9+2.4±4.2
BH slice through the middle3%−6.2−4.5+0.2−10.5±2.6
BH slice crosscourt2%−4.2−2.8+0.1−6.9±2.8

Lean BH crosscourt: +3.2±2.3 per 100 returns v the current mix (1939 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaliaValue
FH crosscourt43%+0.5−0.5−0.9−0.9±3.8
FH through the middle37%−3.2−0.1−0.7−3.9±2.6
FH down the line18%−0.6+5.3+2.5+7.3±4.9
BH inside-in1%+2.0−1.4−2.2−1.7±3.5
BH through the middle1%−1.0−0.2−0.4−1.6±2.1

Lean FH down the line: +7.9±4.5 per 100 returns v the current mix (750 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TaliaValue
BH crosscourt51%+1.5+0.9−2.2+0.1±3.0
BH through the middle30%−2.6−1.8−0.4−4.9±2.3
BH down the line17%−0.5+3.4+0.9+3.8±4.9
FH inside-in1%+0.7+0.7−0.9+0.5±4.1
FH inside-out1%+1.4+0.2+2.5+4.0±3.6

Lean BH down the line: +4.6±4.4 per 100 returns v the current mix (954 returns charted)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Talia Gibson

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+0.7±3.7+0.7+0.1
BH to their backhand · rally+0.2±2.6−0.3+0.5
FH to the middle · return+0.1±2.2+1.5−1.4
FH to their forehand · rally−0.4±2.8−1.1+0.7
BH to their forehand · rally−0.5±4.4−0.2−0.2
FH to their forehand · return +1−0.8±3.9−1.8+0.9

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−7.5±3.1−6.1−1.4
FH to their backhand · return−7.2±4.5−6.5−0.8
BH to the middle · return +1−5.3±2.9−4.4−0.8
BH to their forehand · serve +1−4.4±5.0−4.0−0.5
BH to their backhand · serve +1−4.1±3.4−3.7−0.4

Serena Williams

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+6.3±5.1+3.1+3.1
FH to their backhand · serve +1+4.6±4.3+3.4+1.1
FH to their backhand · rally+4.4±4.1+1.1+3.3
BH to their forehand · rally+4.2±4.5+0.9+3.3
FH to their forehand · serve +1+2.2±3.9+1.9+0.3
BH to their backhand · rally+1.3±3.1−1.7+3.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−6.0±5.5−1.6−4.4
BH to the middle · return +1−3.4±2.8−1.8−1.6
FH to the middle · serve +1−3.2±2.8−1.3−1.9
FH to their forehand · return−3.0±4.3−1.6−1.4
FH to their forehand · return +1−2.4±4.2−3.0+0.5

Against Serena Williams-like opponents

Talia Gibson vMatchesServe pts wonReturn pts won
All charted opponents–60.7%39.4%
Players most similar to Serena Williams3 64.0%33.0%

Similar by tactical fingerprint: Naomi Osaka, Karolina Pliskova, Ekaterina Alexandrova, Sorana Cirstea, Elena Gabriela Ruse, Veronika Kudermetova, Anett Kontaveit, Daniela Hantuchova, Jelena Dokic, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.