RallyIQ

Game plan

Ashlyn Krueger v Talia Gibson

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

Forecast

Ashlyn Krueger wins, best of 3 46%90%: 14%–81% · best of 5: 45%
Serve points won 59.1% / 59.8% Ashlyn / Talia · tour 55.1%
Strengths only, no similarity priors 49%serve 59.4% / 59.6%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Ashlyn Krueger's record against Talia Gibson's tactical lookalikes and in their charted head-to-heads (lookalikes: −9.9 on serve, −4.7 on return vs expectation (109 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

CareerAshlynTalia
Direction choice+0.02 ±0.08
better than 57%
+0.26 ±0.05
better than 91%
Shot selection+0.13 ±0.12
better than 59%
+0.01 ±0.09
better than 45%
Execution−0.34 ±0.51
better than 40%
−0.47 ±0.93
better than 35%
Points left on the table2.40 ±0.13
lower than 76%
2.25 ±0.11
lower than 89%

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: Ashlyn Krueger +0.09, Talia Gibson −0.85. 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.

Ashlyn Krueger serving

Deuce court

1st serveNowAshlyn winsv TaliaMatchupOptimal
Wide34%61%72%67.6%±7.234%
Body27%54%56%52.1%±9.412% ▼
T39%76%76%82.5%±5.854% ▲

Optimal v Talia Gibson: +2.2±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +13.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAshlyn winsv TaliaMatchupOptimal
Wide31%66%69%68.7%±8.232%
Body18%52%55%50.3%±11.62% ▼
T51%68%67%70.9%±6.566% ▲

Optimal v Talia Gibson: +1.5±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Talia Gibson serving

Deuce court

1st serveNowTalia winsv AshlynMatchupOptimal
Wide43%68%66%67.7%±6.759% ▲
Body10%55%59%56.3%±11.00% ▼
T46%74%69%75.2%±7.041% ▼

Optimal v Ashlyn Krueger: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTalia winsv AshlynMatchupOptimal
Wide51%74%65%74.0%±6.955% ▲
Body6%54%59%57.4%±13.00% ▼
T43%69%63%67.7%±7.645% ▲

Optimal v Ashlyn Krueger: +0.3±0.4 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 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.

Ashlyn Krueger returning

1st serve to the forehand

ReturnNowTourOwnv TaliaValue
FH through the middle44%+4.2−2.4+1.2+3.0±2.7
FH crosscourt32%+5.3−0.8−0.6+3.9±4.1
FH slice through the middle11%−6.7+0.6−2.2−8.3±2.6
FH down the line8%+1.5−0.2+0.7+2.1±4.6
FH slice crosscourt5%−6.6+1.0−0.2−5.8±2.6

Lean FH crosscourt: +2.4±3.1 per 100 returns v the current mix (422 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TaliaValue
BH through the middle45%+6.0+0.7+1.8+8.5±2.6
BH crosscourt26%+7.7+2.3+1.3+11.3±3.6
BH slice through the middle14%−6.2+1.4+0.2−4.6±2.6
BH down the line8%+2.2+1.4−0.9+2.6±4.6
BH slice crosscourt4%−4.2+0.5+0.1−3.6±2.6

Lean BH crosscourt: +5.4±3.0 per 100 returns v the current mix (337 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaliaValue
FH crosscourt47%+0.5+4.7−0.9+4.3±4.5
FH through the middle47%−3.2−0.3−0.7−4.2±3.0
FH down the line6%−0.6−1.0+2.5+0.9±4.2

Lean FH crosscourt: +4.2±2.8 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TaliaValue
BH through the middle50%−2.6−1.7−0.4−4.8±2.6
BH crosscourt34%+1.5−0.9−2.2−1.6±3.7
BH down the line16%−0.5+0.1+0.9+0.5±5.1

Lean BH down the line: +3.4±4.6 per 100 returns v the current mix (135 returns charted, inside the 90% margin)

Talia Gibson returning

1st serve to the forehand

ReturnNowTourOwnv AshlynValue
FH through the middle48%+4.2+0.7+1.7+6.5±2.6
FH crosscourt25%+5.3−3.2+0.9+2.9±4.3
FH down the line19%+1.5−3.1−2.8−4.4±4.5
FH slice through the middle5%−6.7−1.6−1.0−9.3±2.4
FH slice crosscourt3%−6.6−1.2±0.0−7.8±2.1

Lean FH through the middle: +4.2±1.9 per 100 returns v the current mix (296 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AshlynValue
BH through the middle35%+6.0+0.1+0.1+6.2±2.7
BH crosscourt30%+7.7−7.3−2.2−1.8±3.6
BH down the line12%+2.2+3.9+2.0+8.1±4.5
BH slice through the middle10%−6.2−0.5−2.8−9.5±2.4
BH slice crosscourt7%−4.2−0.8+1.3−3.6±2.6

Lean BH down the line: +7.4±4.2 per 100 returns v the current mix (181 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AshlynValue
FH through the middle46%−3.2+0.4+0.1−2.7±2.9
FH crosscourt31%+0.5+3.2−2.1+1.6±4.4
FH down the line23%−0.6−3.3−4.9−8.7±5.0

Lean FH crosscourt: +4.3±3.5 per 100 returns v the current mix (84 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AshlynValue
BH crosscourt53%+1.5−0.1−1.3+0.1±3.6
BH through the middle34%−2.6+0.2+0.6−1.8±2.7
BH down the line13%−0.5+0.2−2.0−2.3±5.0

Lean BH crosscourt: +0.9±2.0 per 100 returns v the current mix (149 returns charted, inside the 90% margin)

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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Ashlyn Krueger

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+5.8±3.6+3.3+2.5
BH to the middle · serve +1+3.6±2.9+2.7+0.9
FH to their forehand · rally+3.6±3.7+2.0+1.6
BH to their backhand · return +1+3.4±4.1+1.3+2.1
BH to their forehand · serve +1+2.5±5.7+5.6−3.1
FH to their backhand · rally+2.3±4.4−0.1+2.5

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−5.8±3.1−4.5−1.3
FH to their forehand · serve +1−4.6±4.6−4.8+0.2
BH to their forehand · rally−4.5±5.3−7.0+2.4
FH to their forehand · return +1−3.0±4.7−3.3+0.4
BH to their backhand · serve +1−2.8±4.1−3.9+1.0

Talia Gibson

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.5±4.6+0.5+4.0
BH to their backhand · rally+3.4±3.5−0.1+3.5
BH to their forehand · rally+3.1±5.2−0.3+3.4
FH to the middle · return+2.8±3.0+1.4+1.4
FH to their backhand · rally+1.9±4.2−1.9+3.7
FH to their forehand · rally+1.4±3.8−1.1+2.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−9.0±4.0−4.8−4.1
FH to their backhand · return−7.9±4.9−4.9−3.0
BH to their backhand · return +1−5.3±4.1−2.7−2.5
FH to the middle · serve +1−4.0±3.1−0.9−3.1
BH to the middle · return +1−3.6±3.0−3.1−0.5

Against Talia Gibson-like opponents

Ashlyn Krueger vMatchesServe pts wonReturn pts won
All charted opponents–57.5%41.7%
Players most similar to Talia Gibson1 46.0%37.3%

Similar by tactical fingerprint: Naomi Osaka, Amanda Anisimova, Jelena Ostapenko, Dayana Yastremska, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Veronika Kudermetova, Danielle Collins, Petra Kvitova, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.