RallyIQ

Game plan

Ashlyn Krueger v Tatjana Maria

Every number combines what Ashlyn Krueger does well with what Tatjana Maria 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 63%90%: 22%–92% · best of 5: 66%
Serve points won 62.2% / 59.7% Ashlyn / Tatjana · tour 58.1%
Strengths only, no similarity priors 63%serve 62.2% / 59.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Ashlyn Krueger's record against Tatjana Maria's tactical lookalikes and in their charted head-to-heads. 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

CareerAshlynTatjana
Direction choice+0.02 ±0.08
better than 57%
+0.17 ±0.11
better than 82%
Shot selection+0.13 ±0.12
better than 59%
−4.80 ±0.55
better than 0%
Execution−0.34 ±0.51
better than 40%
+1.80 ±0.44
better than 98%
Points left on the table2.40 ±0.13
lower than 76%
3.32 ±0.20
lower than 3%

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 −3.26, Tatjana Maria +1.38. 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 TatjanaMatchupOptimal
Wide34%61%61%55.8%±8.334%
Body27%54%61%56.9%±8.912% ▼
T39%76%66%74.8%±6.554% ▲

Optimal v Tatjana Maria: +1.2±1.1 per 100 first serves (faults included) over the current mix. Serving T every time would read +11.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAshlyn winsv TatjanaMatchupOptimal
Wide31%66%58%58.4%±8.332%
Body18%52%58%54.1%±9.92% ▼
T51%68%56%60.3%±7.966% ▲

Optimal v Tatjana Maria: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.7 per 100 first serves in before the returner adjusts.

Tatjana Maria serving

Deuce court

1st serveNowTatjana winsv AshlynMatchupOptimal
Wide38%70%66%69.6%±6.754% ▲
Body14%60%59%60.9%±10.50% ▼
T47%75%69%76.2%±6.846% ▼

Optimal v Ashlyn Krueger: +1.1±1.0 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 serveNowTatjana winsv AshlynMatchupOptimal
Wide24%74%65%74.1%±8.139% ▲
Body11%54%59%57.6%±11.80% ▼
T65%68%63%67.1%±7.061% ▼

Optimal v Ashlyn Krueger: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.3 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 TatjanaValue
FH through the middle44%+4.2−2.4−0.1+1.6±2.6
FH crosscourt32%+5.3−0.8+0.4+4.9±4.1
FH slice through the middle11%−6.7+0.6±0.0−6.1±2.6
FH down the line8%+1.5−0.2−6.0−4.7±4.6
FH slice crosscourt5%−6.6+1.0−2.5−8.1±2.5

Lean FH crosscourt: +4.0±3.1 per 100 returns v the current mix (422 returns charted)

1st serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH through the middle45%+6.0+0.7−2.0+4.7±2.7
BH crosscourt26%+7.7+2.3−2.5+7.5±3.6
BH slice through the middle14%−6.2+1.4+0.3−4.5±2.6
BH down the line8%+2.2+1.4−6.2−2.7±4.6
BH slice crosscourt4%−4.2+0.5−1.5−5.2±2.7

Lean BH crosscourt: +4.8±3.0 per 100 returns v the current mix (337 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TatjanaValue
FH crosscourt47%+0.5+4.7+3.2+8.4±4.4
FH through the middle47%−3.2−0.3+0.4−3.1±2.9
FH down the line6%−0.6−1.0−0.1−1.7±4.2

Lean FH crosscourt: +6.0±2.7 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv TatjanaValue
BH through the middle50%−2.6−1.7+2.2−2.1±2.7
BH crosscourt34%+1.5−0.9±0.0+0.6±3.6
BH down the line16%−0.5+0.1−1.1−1.5±5.0

Lean BH crosscourt: +1.7±2.9 per 100 returns v the current mix (135 returns charted, inside the 90% margin)

Tatjana Maria returning

1st serve to the forehand

ReturnNowTourOwnv AshlynValue
FH slice through the middle44%−6.7+3.5−1.0−4.2±2.5
FH slice crosscourt19%−6.6+4.2±0.0−2.5±2.6
FH through the middle14%+4.2−3.2+1.7+2.6±2.8
FH crosscourt11%+5.3+0.7+0.9+6.9±4.3
FH slice down the line9%−10.5+3.7−0.4−7.2±2.9

Lean FH crosscourt: +8.8±4.0 per 100 returns v the current mix (254 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AshlynValue
BH slice through the middle46%−6.2+4.6−2.8−4.5±2.3
BH slice crosscourt31%−4.2+3.2+1.3+0.3±2.8
BH slice down the line9%−12.5+3.9−0.2−8.8±2.9
BH through the middle8%+6.0−1.0+0.1+5.2±2.6
BH crosscourt4%+7.7+0.9−2.2+6.4±3.3

Lean BH crosscourt: +8.4±3.4 per 100 returns v the current mix (356 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AshlynValue
FH slice through the middle33%−15.2+3.0±0.0−12.2±1.8
FH crosscourt25%+0.5−0.4−2.1−2.0±4.3
FH through the middle16%−3.2−0.3+0.1−3.4±2.6
FH slice crosscourt14%−14.9+1.4±0.0−13.5±1.6
FH slice down the line12%−14.1+1.2±0.0−12.9±1.9

Lean FH crosscourt: +6.5±3.3 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AshlynValue
BH slice through the middle34%−11.7+1.2±0.0−10.4±1.7
BH slice crosscourt30%−7.5+0.2±0.0−7.3±2.1
BH through the middle7%−2.6−0.5+0.6−2.4±2.5
BH slice down the line7%−10.6+4.5±0.0−6.1±2.6
BH down the line6%−0.5−1.3−2.0−3.8±4.7

Lean BH through the middle: +4.4±2.5 per 100 returns v the current mix (202 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Ashlyn Krueger

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+3.6±4.9+3.4+0.2
FH to their backhand · return +1+1.3±5.1+2.2−1.0
BH to their backhand · return+0.6±4.3+2.8−2.2
BH to their forehand · serve +1+0.3±6.1+2.9−2.6
BH to their backhand · return +1−0.6±4.3+2.4−3.0
FH to the middle · return−1.9±3.2−1.2−0.7

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−9.7±4.6−3.9−5.8
FH to their backhand · serve +1−8.5±4.7−1.4−7.0
BH to their forehand · rally−7.5±5.4−4.5−3.0
FH to the middle · serve +1−7.1±3.2−4.0−3.1
BH to their forehand · return−6.5±5.5+0.3−6.9

Tatjana Maria

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+1.7±4.9+1.8−0.1
FH to their forehand · serve +1+1.5±3.7+0.8+0.6
FH to the middle · rally+1.4±2.5+0.5+0.9
FH to their forehand · rally+1.3±4.6+1.2+0.1
FH to their backhand · rally+1.2±3.7−0.9+2.1
FH to their forehand · return+0.6±4.4+1.3−0.6

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−4.5±3.3−5.4+0.9
FH to their forehand · return+0.6±4.4+1.3−0.6
FH to their backhand · rally+1.2±3.7−0.9+2.1
FH to their forehand · rally+1.3±4.6+1.2+0.1
FH to the middle · rally+1.4±2.5+0.5+0.9

Against Tatjana Maria-like opponents

Ashlyn Krueger vMatchesServe pts wonReturn pts won
All charted opponents–57.5%41.7%

Similar by tactical fingerprint: Karolina Muchova, Viktorija Golubic, Diane Parry, Alison Van Uytvanck, Kirsten Flipkens, Ashleigh Barty, Francesca Schiavone, Roberta Vinci, Justine Henin, Amelie Mauresmo. When two players have rarely met, their records against these lookalikes fill the gap.