RallyIQ

Game plan

Taylor Fritz v Marcos Giron

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

Forecast

Taylor Fritz wins, best of 3 76%90%: 52%–91% · best of 5: 81%
Serve points won 70.3% / 64.4% Taylor / Marcos · tour 63.5%
Strengths only, no similarity priors 82%serve 70.3% / 62.9%

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 Taylor Fritz's record against Marcos Giron's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.1 on serve, −4.0 on return vs expectation (1864 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

CareerTaylorMarcos
Direction choice+0.03 ±0.04
better than 64%
−0.12 ±0.14
better than 26%
Shot selection−0.11 ±0.06
better than 38%
−0.29 ±0.18
better than 24%
Execution+0.66 ±0.27
better than 88%
+0.02 ±0.52
better than 69%
Points left on the table2.35 ±0.06
lower than 78%
2.66 ±0.24
lower than 43%

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: Taylor Fritz +0.64, Marcos Giron −0.12. 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.

Taylor Fritz serving

Deuce court

1st serveNowTaylor winsv MarcosMatchupOptimal
Wide48%76%77%80.5%±3.438% ▼
Body3%66%68%70.2%±9.60% ▼
T49%82%79%85.1%±3.062% ▲

Optimal v Marcos Giron: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowTaylor winsv MarcosMatchupOptimal
Wide52%80%74%81.3%±3.465% ▲
Body4%62%63%61.2%±11.20% ▼
T45%76%71%74.9%±4.235% ▼

Optimal v Marcos Giron: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Marcos Giron serving

Deuce court

1st serveNowMarcos winsv TaylorMatchupOptimal
Wide50%65%74%66.7%±4.063% ▲
Body4%62%63%62.7%±10.30% ▼
T46%78%77%80.1%±3.937% ▼

Optimal v Taylor Fritz: +0.4±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcos winsv TaylorMatchupOptimal
Wide55%72%76%76.1%±4.168% ▲
Body6%65%63%64.9%±10.00% ▼
T39%71%74%72.8%±4.432% ▼

Optimal v Taylor Fritz: +0.4±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 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.

Taylor Fritz returning

1st serve to the forehand

ReturnNowTourOwnv MarcosValue
FH through the middle46%+4.3+1.3+4.1+9.7±1.9
FH down the line22%+1.7+0.4+2.0+4.1±3.5
FH slice through the middle12%−4.2+0.1−0.5−4.6±2.0
FH crosscourt10%+5.5+1.8+0.4+7.7±3.7
FH slice down the line7%−4.3+0.4±0.0−3.8±2.9

Lean FH through the middle: +4.3±1.3 per 100 returns v the current mix (2456 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarcosValue
BH through the middle47%+6.4+2.1+2.9+11.4±1.9
BH crosscourt29%+8.8−1.8+0.5+7.5±2.7
BH down the line9%+4.2+1.7+1.5+7.4±4.2
BH slice through the middle9%−4.2−2.5−1.1−7.8±2.3
BH slice crosscourt3%+0.5−3.9−1.5−4.9±3.0

Lean BH through the middle: +4.5±1.4 per 100 returns v the current mix (2022 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcosValue
FH through the middle51%−3.5−0.7+2.0−2.2±2.2
FH down the line25%−1.8−3.4+1.0−4.2±4.2
FH crosscourt14%−0.2+1.8+4.9+6.4±4.3
FH slice through the middle4%−12.7−1.6±0.0−14.3±1.6
FH slice down the line3%−9.4+1.8±0.0−7.6±2.1

Lean FH crosscourt: +8.6±4.0 per 100 returns v the current mix (707 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarcosValue
BH through the middle42%−2.9+0.8+2.0−0.2±1.7
BH crosscourt34%+1.0−0.8+0.6+0.9±2.3
BH down the line13%−0.2−1.3+2.3+0.8±4.6
FH through the middle6%−2.9+0.2+2.0−0.7±2.3
FH inside-in3%+0.6−0.5+4.9+4.9±4.4

Lean FH inside-in: +4.5±4.4 per 100 returns v the current mix (1417 returns charted)

Marcos Giron returning

1st serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle52%+4.3+0.6−0.6+4.2±1.9
FH crosscourt20%+5.5+0.3−0.6+5.2±3.7
FH down the line14%+1.7−1.2−0.9−0.4±3.8
FH slice through the middle9%−4.2+1.0±0.0−3.3±2.0
FH slice crosscourt2%−4.3−0.5−0.4−5.2±2.4

Lean FH crosscourt: +2.5±3.1 per 100 returns v the current mix (463 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle34%+6.4+1.8+0.6+8.8±2.0
BH slice through the middle24%−4.2+1.5−0.3−3.0±2.0
BH crosscourt18%+8.8+1.1−0.5+9.4±3.0
BH slice crosscourt12%+0.5−1.7−1.8−3.1±2.7
BH slice down the line7%−8.4−1.9+0.2−10.0±3.4

Lean BH crosscourt: +6.5±2.6 per 100 returns v the current mix (501 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv TaylorValue
FH through the middle59%−3.5+0.9+0.4−2.2±2.3
FH crosscourt28%−0.2−4.3−1.1−5.6±3.8
FH down the line13%−1.8+1.4−1.6−2.0±3.6

Lean FH through the middle: +0.9±1.5 per 100 returns v the current mix (97 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv TaylorValue
BH through the middle42%−2.9+1.9+0.8−0.1±1.7
BH crosscourt36%+1.0−0.4−0.9−0.2±2.4
BH down the line8%−0.2+2.3−0.4+1.7±4.3
BH slice crosscourt3%−4.0−0.5−0.1−4.7±2.3
BH slice through the middle3%−11.3−1.0−0.4−12.6±2.2

Lean BH down the line: +2.4±4.1 per 100 returns v the current mix (392 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.

Taylor Fritz

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+5.4±4.0+0.5+4.9
FH to their forehand · return+4.4±3.3+1.6+2.9
FH to the middle · return+4.3±1.5+0.8+3.5
BH to their forehand · rally+3.9±2.6+1.3+2.6
BH to the middle · return+3.8±1.4+1.7+2.2
BH to their forehand · return+2.7±3.5+0.4+2.3

Avoid

ShotEdgeOwnTheirs
BH slice to the middle · rally−5.9±2.0−3.9−2.0
FH to the middle · serve +1−4.8±2.0−1.0−3.7
FH slice to the middle · rally−4.1±2.5−1.8−2.3
BH slice to their forehand · rally−3.1±3.3−2.9−0.1
BH slice to their backhand · rally−2.8±2.1−3.7+1.0

Marcos Giron

Favour

ShotEdgeOwnTheirs
BH to the middle · serve +1+3.3±1.8+2.9+0.4
BH slice to the middle · return+1.8±1.9+1.6+0.2
BH to their backhand · serve +1+1.7±2.2+0.7+1.0
FH to their forehand · serve +1+1.5±2.4+0.4+1.1
BH to the middle · rally+1.4±1.1+1.1+0.2
BH to their forehand · rally+1.2±2.6−0.4+1.6

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−4.1±3.4−3.0−1.1
BH slice to the middle · rally−3.8±1.7−3.1−0.7
FH to their backhand · rally−2.8±1.6−2.2−0.6
BH to their forehand · return +1−2.6±4.3+0.3−2.9
BH slice to their backhand · return−2.0±2.6−0.9−1.1

Against Marcos Giron-like opponents

Taylor Fritz vMatchesServe pts wonReturn pts won
All charted opponents–68.5%34.5%
Players most similar to Marcos Giron10 67.4%29.6%

Similar by tactical fingerprint: Casper Ruud, Jannik Sinner, Brandon Nakashima, Gael Monfils, Rinky Hijikata, Arthur Cazaux, Dominic Thiem, Lloyd Harris, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.