RallyIQ

Game plan

Pedro Martinez v Taylor Fritz

Every number combines what Pedro Martinez does well with what Taylor Fritz allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Pedro Martinez wins, best of 3 5%90%: 1%–16% · best of 5: 2%
Serve points won 59.1% / 73.0% Pedro / Taylor · tour 63.5%
Strengths only, no similarity priors 5%serve 59.4% / 73.2%

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 Pedro Martinez's record against Taylor Fritz's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.0 on serve, +1.3 on return vs expectation (460 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

CareerPedroTaylor
Direction choice−0.06 ±0.08
better than 43%
+0.03 ±0.04
better than 64%
Shot selection−0.06 ±0.23
better than 46%
−0.11 ±0.06
better than 38%
Execution+0.23 ±0.43
better than 77%
+0.66 ±0.27
better than 88%
Points left on the table2.66 ±0.12
lower than 43%
2.35 ±0.06
lower than 78%

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: Pedro Martinez +1.33, Taylor Fritz +1.15. 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.

Pedro Martinez serving

Deuce court

1st serveNowPedro winsv TaylorMatchupOptimal
Wide41%65%74%66.4%±4.639% ▼
Body11%59%63%59.4%±8.00% ▼
T48%68%77%70.3%±4.261% ▲

Optimal v Taylor Fritz: +0.6±0.7 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 serveNowPedro winsv TaylorMatchupOptimal
Wide54%63%76%67.5%±4.367% ▲
Body16%59%63%59.2%±7.83% ▼
T30%62%74%64.1%±5.430%

Optimal v Taylor Fritz: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 per 100 first serves in before the returner adjusts.

Taylor Fritz serving

Deuce court

1st serveNowTaylor winsv PedroMatchupOptimal
Wide48%76%75%78.5%±3.638% ▼
Body3%66%70%71.8%±9.10% ▼
T49%82%76%82.9%±3.262% ▲

Optimal v Pedro Martinez: +0.2±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTaylor winsv PedroMatchupOptimal
Wide52%80%71%78.9%±3.742% ▼
Body4%62%56%54.8%±10.40% ▼
T45%76%73%76.9%±4.258% ▲

Optimal v Pedro Martinez: +0.7±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.8 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.

Pedro Martinez returning

1st serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle43%+4.3+2.1−0.6+5.8±2.1
FH crosscourt21%+5.5+1.1−0.6+6.0±3.7
FH slice through the middle13%−4.2+1.7±0.0−2.6±2.0
FH down the line12%+1.7+1.9−0.9+2.7±3.8
FH slice crosscourt8%−4.3+0.6−0.4−4.1±2.7

Lean FH crosscourt: +2.7±3.1 per 100 returns v the current mix (426 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle41%+6.4+2.2+0.6+9.2±1.9
BH crosscourt27%+8.8−3.4−0.5+4.9±2.8
BH down the line13%+4.2−0.4−4.5−0.7±4.2
BH slice through the middle12%−4.2−1.5−0.3−6.0±2.1
BH slice crosscourt4%+0.5−1.5−1.8−2.8±2.6

Lean BH through the middle: +5.3±1.5 per 100 returns v the current mix (517 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle52%−3.5+1.2+0.4−1.9±2.3
FH crosscourt37%−0.2−0.4−1.1−1.7±3.9
FH down the line10%−1.8+0.6−1.6−2.7±3.5

Lean FH crosscourt: +0.2±2.7 per 100 returns v the current mix (107 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle41%−2.9−0.2+0.8−2.2±1.8
BH crosscourt30%+1.0±0.0−0.9+0.1±2.5
BH down the line14%−0.2+5.2−0.4+4.7±4.4
FH inside-out7%+1.0−0.7−1.6−1.3±3.1
FH through the middle5%−2.9−0.7+0.4−3.2±1.7

Lean BH down the line: +5.2±4.0 per 100 returns v the current mix (340 returns charted)

Taylor Fritz returning

1st serve to the forehand

ReturnNowTourOwnv PedroValue
FH through the middle46%+4.3+1.3+1.7+7.2±1.8
FH down the line22%+1.7+0.4+1.6+3.7±3.5
FH slice through the middle12%−4.2+0.1+1.7−2.4±2.0
FH crosscourt10%+5.5+1.8+6.1+13.4±3.7
FH slice down the line7%−4.3+0.4+0.8−3.0±2.7

Lean FH crosscourt: +8.4±3.5 per 100 returns v the current mix (2456 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PedroValue
BH through the middle47%+6.4+2.1+1.6+10.1±1.6
BH crosscourt29%+8.8−1.8+1.7+8.7±2.2
BH down the line9%+4.2+1.7+4.4+10.3±4.2
BH slice through the middle9%−4.2−2.5−1.4−8.1±2.3
BH slice crosscourt3%+0.5−3.9−2.2−5.6±2.9

Lean BH down the line: +3.4±4.0 per 100 returns v the current mix (2022 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv PedroValue
FH through the middle51%−3.5−0.7+1.2−2.9±2.3
FH down the line25%−1.8−3.4−1.7−6.9±4.3
FH crosscourt14%−0.2+1.8−1.6±0.0±4.2
FH slice through the middle4%−12.7−1.6−0.5−14.8±1.9
FH slice down the line3%−9.4+1.8±0.0−7.6±2.1

Lean FH crosscourt: +4.1±4.0 per 100 returns v the current mix (707 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv PedroValue
BH through the middle42%−2.9+0.8+1.0−1.1±1.9
BH crosscourt34%+1.0−0.8+1.2+1.4±2.4
BH down the line13%−0.2−1.3−0.8−2.3±4.6
FH through the middle6%−2.9+0.2+1.2−1.4±2.3
FH inside-in3%+0.6−0.5−1.6−1.6±4.4

Lean BH crosscourt: +1.9±1.9 per 100 returns v the current mix (1417 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.

Pedro Martinez

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.5±2.6+3.9+1.6
BH to their forehand · serve +1+4.8±3.8+3.3+1.5
FH to the middle · rally+3.4±1.3+3.5−0.2
BH to their backhand · serve +1+3.2±2.3+2.2+1.0
FH to their forehand · rally+3.1±1.7+2.6+0.4
FH to the middle · return +1+2.9±2.1+3.1−0.3

Avoid

ShotEdgeOwnTheirs
BH volley to their forehand · rally−2.3±5.7−0.4−1.9
FH drop shot to their backhand · rally−2.0±5.1−5.1+3.1
BH to their forehand · return−1.9±3.5+0.8−2.7
BH to their backhand · return−1.7±2.1−0.1−1.7
FH to their backhand · return +1−1.6±3.0+0.8−2.5

Taylor Fritz

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+8.0±4.0+0.5+7.5
FH to their forehand · return+5.0±3.2+1.6+3.4
BH to the middle · return+4.9±1.3+1.7+3.3
BH to their forehand · serve +1+4.8±3.8±0.0+4.8
BH to their forehand · rally+3.6±2.6+1.3+2.3
BH to their forehand · return+3.2±3.5+0.4+2.7

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−5.1±2.1−3.9−1.2
FH slice to the middle · rally−5.0±2.5−1.8−3.3
BH slice to their backhand · rally−4.7±2.1−3.7−0.9
BH slice to their backhand · return +1−4.6±2.7−3.0−1.6
BH to their backhand · serve +1−2.1±2.3−0.6−1.5

Against Taylor Fritz-like opponents

Pedro Martinez vMatchesServe pts wonReturn pts won
All charted opponents–58.3%34.6%
Players most similar to Taylor Fritz3 54.7%33.2%

Similar by tactical fingerprint: Jannik Sinner, Gael Monfils, Karen Khachanov, Marcos Giron, Alexander Shevchenko, Rinky Hijikata, Miomir Kecmanovic, Arthur Cazaux, Borna Coric, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.