RallyIQ

Game plan

Aaron Krickstein v John Millman

Every number combines what Aaron Krickstein does well with what John Millman allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Aaron Krickstein wins, best of 3 30%90%: 9%–61% · best of 5: 26%
Serve points won 62.7% / 67.0% Aaron / John · tour 65.7%
Strengths only, no similarity priors 30%serve 62.7% / 67.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Aaron Krickstein's record against John Millman'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

CareerAaronJohn
Direction choice+0.07 ±0.18
better than 76%
+0.16 ±0.09
better than 89%
Shot selection−0.77 ±0.21
better than 5%
+0.03 ±0.11
better than 54%
Execution+1.53 ±0.89
better than 99%
+0.34 ±0.65
better than 80%
Points left on the table2.54 ±0.18
lower than 57%
1.98 ±0.14
lower than 99%

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.

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.

Aaron Krickstein serving

Deuce court

1st serveNowAaron winsv JohnMatchupOptimal
Wide45%69%76%72.0%±7.442% ▼
Body10%64%64%64.8%±13.00% ▼
T45%68%72%64.5%±9.158% ▲

Optimal v John Millman: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAaron winsv JohnMatchupOptimal
Wide40%65%73%65.4%±8.853% ▲
Body11%63%61%61.6%±13.40% ▼
T49%63%76%68.4%±8.247% ▼

Optimal v John Millman: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

John Millman serving

Deuce court

1st serveNowJohn winsv AaronMatchupOptimal
Wide49%68%76%71.1%±8.662% ▲
Body10%61%64%62.3%±11.10% ▼
T42%75%74%74.5%±7.638% ▼

Optimal v Aaron Krickstein: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJohn winsv AaronMatchupOptimal
Wide48%72%72%70.5%±7.561% ▲
Body8%70%68%73.8%±11.20% ▼
T44%64%69%60.6%±10.139% ▼

Optimal v Aaron Krickstein: +0.1±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +7.4 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.

Aaron Krickstein returning

1st serve to the forehand

ReturnNowTourOwnv JohnValue
FH crosscourt40%+5.5±0.0−0.4+5.0±4.3
FH through the middle40%+4.3+0.3+2.1+6.6±2.8
FH down the line20%+1.7+0.5+0.1+2.3±4.3

Lean FH through the middle: +1.5±2.5 per 100 returns v the current mix (102 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JohnValue
BH through the middle47%+6.4+1.3−0.3+7.4±2.6
BH crosscourt39%+8.8+1.0−1.7+8.1±3.5
BH down the line10%+4.2+1.2−0.2+5.2±4.4
BH slice through the middle4%−4.2+0.7+1.4−2.0±2.1

Lean BH crosscourt: +1.0±2.5 per 100 returns v the current mix (196 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JohnValue
BH crosscourt39%+1.0+2.0+1.6+4.7±3.2
BH through the middle28%−2.9+0.6+1.2−1.2±2.4
BH down the line14%−0.2−2.1−0.7−3.0±4.7
FH through the middle13%−2.9+0.9−1.2−3.2±2.2
FH inside-in6%+0.6−0.3−2.7−2.5±3.7

Lean BH crosscourt: +4.2±2.2 per 100 returns v the current mix (122 returns charted)

John Millman returning

1st serve to the forehand

ReturnNowTourOwnv AaronValue
FH through the middle48%+4.3+2.2−1.0+5.5±2.9
FH crosscourt23%+5.5−2.3−0.4+2.8±4.4
FH down the line18%+1.7−2.8+3.1+2.1±4.5
FH slice through the middle7%−4.2−0.6+0.5−4.4±1.8
FH slice down the line2%−4.3−0.3±0.0−4.6±1.5

Lean FH through the middle: +2.3±2.0 per 100 returns v the current mix (325 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AaronValue
BH through the middle44%+6.4+1.9−1.8+6.5±2.7
BH crosscourt33%+8.8−1.0+0.9+8.7±3.2
BH slice through the middle9%−4.2−2.8+2.4−4.6±2.5
BH down the line8%+4.2+1.3+1.1+6.6±4.2
BH slice down the line4%−8.4−1.8+3.2−7.0±2.9

Lean BH crosscourt: +3.1±2.5 per 100 returns v the current mix (369 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AaronValue
FH through the middle55%−3.5+0.4+2.4−0.7±2.9
FH crosscourt29%−0.2+0.1+0.8+0.7±4.2
FH down the line17%−1.8−1.2+2.7−0.3±4.3

Lean FH crosscourt: +0.9±3.5 per 100 returns v the current mix (84 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AaronValue
BH through the middle49%−2.9+0.3+3.0+0.4±2.4
BH crosscourt44%+1.0+1.3+0.6+2.9±3.1
BH down the line5%−0.2−0.8+1.3+0.2±4.6
FH inside-in2%+0.6−0.2+0.8+1.1±3.5

Lean BH crosscourt: +1.4±2.1 per 100 returns v the current mix (284 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 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.

Aaron Krickstein

Favour

ShotEdgeOwnTheirs
BH slice to the middle · rally+6.2±2.2+3.2+2.9
BH slice to their forehand · rally+5.1±3.4+3.8+1.3
FH to the middle · rally+3.9±1.9+1.7+2.2
BH to the middle · return+3.5±2.2+2.9+0.6
BH to their forehand · rally+3.4±3.5+2.1+1.3
BH to their backhand · rally+3.1±2.0+1.6+1.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−1.0±3.2+1.5−2.5
FH to their backhand · return−0.9±4.0+0.6−1.5
FH to their backhand · return +1±0.0±3.9+1.9−1.9
FH to their forehand · serve +1+0.2±3.6−1.4+1.6
FH to their forehand · rally+0.5±2.5+0.6−0.1

John Millman

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+11.7±5.0+7.1+4.6
BH to their forehand · rally+3.6±3.3+1.1+2.5
FH to their forehand · return +1+3.5±4.1−0.1+3.6
FH to their forehand · rally+2.4±2.5+2.1+0.3
FH to their backhand · return+2.2±3.8−1.6+3.8
FH to the middle · return+2.1±2.5+1.6+0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.7±3.5−3.0−0.8
FH to their forehand · return−3.1±4.4−3.4+0.3
BH to the middle · rally−0.8±1.9+0.6−1.4
BH to their backhand · return +1−0.2±3.2+0.3−0.5
BH to their backhand · rally−0.1±1.9+0.9−1.1

Against John Millman-like opponents

Aaron Krickstein vMatchesServe pts wonReturn pts won
All charted opponents–57.6%35.4%

Similar by tactical fingerprint: Daniil Medvedev, Adrian Mannarino, Jenson Brooksby, Pablo Carreno Busta, Taylor Fritz, Miomir Kecmanovic, Diego Schwartzman, Ilya Ivashka, Gilles Simon, Hyeon Chung. When two players have rarely met, their records against these lookalikes fill the gap.