Game plan

Tallon Griekspoor v Roberto Bautista Agut

Every number combines what Tallon Griekspoor does well with what Roberto Bautista Agut allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Tallon Griekspoor wins, best of 3 36%90%: 18%–59% · best of 5: 33%

Serve points won 63.7% / 66.6% Tallon / Roberto · tour 63.4%

Strengths only, no similarity priors 38%serve 64.9% / 67.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Tallon Griekspoor's record against Roberto Bautista Agut's tactical lookalikes and in their charted head-to-heads (lookalikes: −3.0 on serve, +2.1 on return vs expectation (1977 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

Career	Tallon	Roberto
Direction choice	+0.19 ±0.03 better than 93%	+0.03 ±0.06 better than 65%
Shot selection	+0.07 ±0.08 better than 61%	+0.08 ±0.08 better than 62%
Execution	−1.38 ±0.28 better than 13%	+1.23 ±0.28 better than 98%
Points left on the table	2.42 ±0.06 lower than 71%	2.30 ±0.09 lower than 85%

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: Tallon Griekspoor −0.35, Roberto Bautista Agut +0.64. 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.

Tallon Griekspoor serving

Deuce court

1st serve	Now	Tallon wins	v Roberto	Matchup	Optimal
Wide	48%	74%	74%	74.7%±2.8	44% ▼
Body	8%	65%	60%	61.8%±6.8	0% ▼
T	43%	77%	76%	78.2%±2.8	56% ▲

Optimal v Roberto Bautista Agut: +0.6±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Tallon wins	v Roberto	Matchup	Optimal
Wide	54%	76%	77%	80.0%±2.5	67% ▲
Body	9%	60%	53%	49.9%±7.9	0% ▼
T	37%	73%	72%	73.1%±3.3	33% ▼

Optimal v Roberto Bautista Agut: +1.1±0.5 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.2 per 100 first serves in before the returner adjusts.

Roberto Bautista Agut serving

Deuce court

1st serve	Now	Roberto wins	v Tallon	Matchup	Optimal
Wide	45%	70%	76%	73.0%±2.9	49% ▲
Body	9%	64%	64%	64.5%±6.3	0% ▼
T	47%	72%	79%	76.8%±2.9	51% ▲

Optimal v Tallon Griekspoor: +0.5±0.4 per 100 first serves (faults included) over the current mix. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serve	Now	Roberto wins	v Tallon	Matchup	Optimal
Wide	56%	70%	77%	73.9%±3.0	51% ▼
Body	9%	61%	66%	63.9%±6.6	0% ▼
T	36%	72%	74%	74.4%±3.3	49% ▲

Optimal v Tallon Griekspoor: +0.7±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.2 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.

Tallon Griekspoor returning

1st serve to the forehand

Return	Now	Tour	Own	v Roberto	Value
FH through the middle	42%	+4.3	−2.3	+2.6	+4.6±1.5
FH crosscourt	26%	+5.5	−2.2	−1.2	+2.2±2.8
FH slice through the middle	14%	−4.2	−3.3	+2.1	−5.5±1.9
FH down the line	11%	+1.7	−3.9	+4.3	+2.1±3.5
FH slice down the line	5%	−4.3	−1.9	−0.1	−6.3±3.1

Lean FH through the middle: +3.2±1.2 per 100 returns v the current mix (1906 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Roberto	Value
BH through the middle	32%	+6.4	−1.5	+1.2	+6.2±1.4
BH crosscourt	27%	+8.8	−5.7	+2.2	+5.3±2.1
BH slice through the middle	20%	−4.2	−3.1	+3.1	−4.2±1.7
BH slice crosscourt	8%	+0.5	−4.8	+1.1	−3.3±2.6
BH down the line	8%	+4.2	−2.1	+1.3	+3.5±4.0

Lean BH through the middle: +4.4±1.2 per 100 returns v the current mix (2010 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Roberto	Value
FH crosscourt	40%	−0.2	−1.0	−1.4	−2.6±3.8
FH through the middle	39%	−3.5	−3.0	−0.4	−6.9±2.3
FH down the line	15%	−1.8	−4.1	+1.5	−4.4±4.4
FH slice through the middle	5%	−12.7	−2.6	±0.0	−15.2±1.6
FH slice down the line	1%	−9.4	−0.4	−0.1	−10.0±1.8

Lean FH crosscourt: +2.6±2.5 per 100 returns v the current mix (471 returns charted)

2nd serve to the backhand

Return	Now	Tour	Own	v Roberto	Value
BH through the middle	38%	−2.9	−2.1	+2.3	−2.7±1.5
BH crosscourt	31%	+1.0	−4.1	+0.2	−2.9±2.0
BH down the line	9%	−0.2	−2.9	+2.5	−0.5±4.4
FH through the middle	9%	−2.9	+0.6	−0.4	−2.7±2.1
FH inside-in	6%	+0.6	+2.0	−1.4	+1.2±4.2
FH inside-out	5%	+1.0	−1.0	+1.5	+1.5±3.5

Lean FH inside-out: +3.7±3.5 per 100 returns v the current mix (1307 returns charted)

Roberto Bautista Agut returning

1st serve to the forehand

Return	Now	Tour	Own	v Tallon	Value
FH through the middle	47%	+4.3	+2.4	−0.6	+6.1±1.5
FH down the line	19%	+1.7	+2.4	−3.3	+0.8±3.1
FH crosscourt	15%	+5.5	+1.8	−2.1	+5.2±3.3
FH slice through the middle	13%	−4.2	+0.4	−2.5	−6.3±1.8
FH slice crosscourt	3%	−4.3	+0.3	+0.7	−3.4±2.8

Lean FH through the middle: +3.4±1.1 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

Return	Now	Tour	Own	v Tallon	Value
BH through the middle	42%	+6.4	+2.7	−1.7	+7.4±1.5
BH crosscourt	20%	+8.8	+2.4	−3.1	+8.1±2.3
BH slice through the middle	17%	−4.2	−0.1	−3.9	−8.2±1.8
BH down the line	11%	+4.2	+4.9	−4.4	+4.7±3.9
BH slice crosscourt	6%	+0.5	−1.2	−3.9	−4.5±2.6

Lean BH crosscourt: +5.1±2.0 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

Return	Now	Tour	Own	v Tallon	Value
FH through the middle	48%	−3.5	+0.4	+0.4	−2.7±2.1
FH crosscourt	24%	−0.2	+0.7	−0.3	+0.2±3.8
FH down the line	24%	−1.8	+0.9	−1.8	−2.7±4.0
FH slice through the middle	4%	−12.7	±0.0	−1.9	−14.5±2.1

Lean FH crosscourt: +2.7±3.2 per 100 returns v the current mix (289 returns charted, inside the 90% margin)

2nd serve to the backhand

Return	Now	Tour	Own	v Tallon	Value
BH through the middle	48%	−2.9	+0.6	−0.9	−3.2±1.4
BH crosscourt	33%	+1.0	+1.7	−2.8	−0.1±2.0
BH down the line	12%	−0.2	+0.8	−3.8	−3.2±4.4
FH through the middle	3%	−2.9	−0.4	+0.4	−2.9±1.9
FH inside-out	2%	+1.0	±0.0	−1.8	−0.9±3.0

Lean BH crosscourt: +2.1±1.6 per 100 returns v the current mix (961 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.

Tallon Griekspoor

Favour

Shot	Edge	Own	Theirs
Smash to their forehand · rally	+6.1±4.3	+2.1	+4.0
FH volley to their backhand · rally	+4.0±5.2	−0.1	+4.1
FH to their backhand · serve +1	+3.2±1.6	+0.4	+2.9
FH to the middle · rally	+2.4±1.2	+0.2	+2.2
FH to the middle · return +1	+1.5±1.9	+0.5	+1.0
FH volley to their forehand · serve +1	+1.4±5.5	+1.4	±0.0

Avoid

Shot	Edge	Own	Theirs
BH volley to their backhand · rally	−7.6±5.0	−8.7	+1.1
BH volley to their forehand · rally	−5.9±5.3	−2.5	−3.4
BH slice to their backhand · return	−4.4±2.5	−5.1	+0.7
FH slice to their forehand · rally	−4.3±3.8	−2.9	−1.3
BH to their forehand · return +1	−2.9±4.2	−3.0	+0.1

Roberto Bautista Agut

Favour

Shot	Edge	Own	Theirs
FH drop shot to their backhand · rally	+5.6±5.1	+3.0	+2.6
BH to their forehand · rally	+4.0±2.4	+2.0	+2.0
FH to their forehand · rally	+2.3±1.2	+2.9	−0.6
FH to the middle · return +1	+2.3±1.9	+0.7	+1.6
FH to their forehand · serve +1	+2.2±1.8	+2.6	−0.4
FH to the middle · serve +1	+2.2±1.5	+2.8	−0.6

Avoid

Shot	Edge	Own	Theirs
BH slice to their backhand · return	−4.7±2.5	−0.2	−4.5
BH slice to their forehand · rally	−4.0±3.0	+0.2	−4.2
BH volley to their forehand · rally	−3.4±5.6	−1.9	−1.4
Smash to their forehand · rally	−3.2±4.2	−1.3	−1.9
FH volley to their backhand · rally	−2.8±5.4	−0.6	−2.3

Against Roberto Bautista Agut-like opponents

Tallon Griekspoor v	Matches	Serve pts won	Return pts won
All charted opponents	–	65.5%	32.6%
Players most similar to Roberto Bautista Agut	12	60.4%	35.2%

Similar by tactical fingerprint: Casper Ruud, Brandon Nakashima, Gael Monfils, Mariano Navone, Novak Djokovic, Karen Khachanov, Pablo Carreno Busta, Francisco Cerundolo, Roberto Carballes Baena, Bernabe Zapata Miralles. When two players have rarely met, their records against these lookalikes fill the gap.