RallyIQ

ATP · Right-handed · 4 charted matches · 1998–2004

Felix Mantilla

Against an average opponent

Serve points won 63.2% ±3.7 raw 59.0% · tour 63.4% · 529 points
Return points won 38.5% ±3.9 raw 38.3% · tour 36.6% · 447 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Value per 100 shots

Direction choice −0.13 ±0.18 better than 22% of ATP · raw −0.14
Shot selection −1.06 ±0.47 better than 1% of ATP · raw −1.08
Execution +0.83 ±0.72 better than 93% of ATP · raw +0.55

Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 2,649 shots.

Shot expected value

The share of points Felix Mantilla goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.

Rally, shots 5–8: drive to your backhand side

position worth 46% to the average player · 163 shots

OptionUsedWin %Tour
BH crosscourt 33% 52.8%±9.6 47.6%
BH through the middle 24% 45.3%±10.7 43.7%
BH slice through the middle 10% 43.3%±13.4 35.1%
BH down the line 10% 54.8%±13.5 46.4%
FH inside-out 10% 57.8%±13.4 51.8%
BH slice crosscourt 9% 52.9%±13.9 42.5%

Rally, shots 5–8: drive to your forehand side

position worth 44% to the average player · 146 shots

OptionUsedWin %Tour
FH crosscourt 42% 51.0%±9.1 46.6%
FH through the middle 32% 48.9%±10.1 41.5%
FH down the line 27% 45.7%±10.7 44.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 116 shots

OptionUsedWin %Tour
FH down the line 41% 54.2%±10.0 51.5%
FH crosscourt 21% 53.5%±12.4 52.7%
FH through the middle 19% 46.2%±12.7 47.0%
BH through the middle 9% 41.2%±14.8 46.8%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 90 shots

OptionUsedWin %Tour
BH crosscourt 32% 50.2%±11.7 48.0%
BH through the middle 20% 49.4%±13.3 43.8%
BH slice crosscourt 17% 44.1%±13.8 42.1%
BH slice through the middle 16% 29.5%±12.9 35.1%

Serve under pressure

Pressure predictability index +19 How much less varied Felix Mantilla's first-serve direction gets on break points. Positive means easier to read. Based on 61 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 38% 36% 68% / 73%
Body 30% 21% ▼ 63% / 63%
T 32% 43% ▲ 68% / 75%

252 normal · 14 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 68% 81% ▲ 64% / 73%
Body 7% 4% 57% / 63%
T 24% 15% ▼ 69% / 72%

206 normal · 47 break-point 1st serves

Is the serve mix in equilibrium?

Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Deuce court

1st serveUsagePoints wonOptimal
Wide38% 63.3%±6.9 n=102 51% ▲
Body29% 59.5%±7.8 n=78 16% ▼
T32% 62.9%±7.4 n=86 33%

Consistent with an optimal mix (p = 0.71).
Optimal mix: +0.5 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide71% 55.8%±5.7 n=179 64% ▼
Body7% 47.5%±12.0 n=17 0% ▼
T23% 60.1%±8.6 n=57 36% ▲

Consistent with an optimal mix (p = 0.09).
Optimal mix: +0.6 per 100 first serves.

Exploitability 0.55 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: +6.1±9.5 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (245 repeats, 266 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 12 36% −1.0±12.2
1stAd courtT 37 27% −0.6±9.0
1stAd courtWide 57 28% +0.5±7.9
1stDeuce courtBody 24 35% −1.5±10.7
1stDeuce courtT 52 25% ±0.0±7.9
1stDeuce courtWide 49 20% −6.7±7.5
2ndAd courtBody 19 49% −0.8±11.7
2ndAd courtT 20 64% +14.3±11.2
2ndAd courtWide 68 45% −2.9±8.3
2ndDeuce courtBody 26 48% −1.3±11.0
2ndDeuce courtT 22 46% −3.7±11.4
2ndDeuce courtWide 61 54% +6.2±8.6

Signature patterns

Recurring sequences that win more than Felix Mantilla's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. Wide serve (ad court) → BH through the middle used 9.5% · won 63% · −0.5±10.9 vs own baseline
  2. Wide serve (ad court) → BH crosscourt used 9.1% · won 59% · −5.0±11.2 vs own baseline
  3. Wide serve (ad court) → BH down the line used 7.9% · won 54% · −9.5±11.7 vs own baseline

Return

  1. vs wide serve (ad court) → BH crosscourt, mid used 32.1% · won 45% · +3.1±10.4 vs own baseline

Rally, consecutive own shots

  1. FH crosscourt → FH down the line used 7.4% · won 56% · +3.5±11.1 vs own baseline
  2. FH crosscourt → FH crosscourt used 6.2% · won 54% · +2.0±11.6 vs own baseline
  3. FH through the middle → BH crosscourt used 5.9% · won 51% · −0.9±11.8 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Felix Mantilla wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH crosscourt → FH through the middle used 1.1% · won 59% · +8.4±12.8 vs own baseline · +28.7 vs tour on the same sequence Disrupted by Marat Safin (5/8)
  2. FH down the line → BH crosscourt → BH through the middle used 1.7% · won 57% · +5.7±11.7 vs own baseline · +18.7 vs tour on the same sequence Disrupted by Marat Safin (12/20)
  3. BH through the middle → FH crosscourt → FH crosscourt used 1.4% · won 53% · +1.8±12.3 vs own baseline · +10.1 vs tour on the same sequence Disrupted by Marat Safin (6/12)
  4. FH crosscourt → FH crosscourt → FH crosscourt used 1.4% · won 53% · +1.8±12.3 vs own baseline · +6.2 vs tour on the same sequence Disrupted by Marat Safin (9/16)
  5. FH down the line → BH crosscourt → BH crosscourt used 1.2% · won 49% · −1.6±12.7 vs own baseline · −1.9 vs tour on the same sequence Disrupted by Marat Safin (2/7), Pete Sampras (5/8)
  6. BH through the middle → FH crosscourt → FH through the middle used 1.3% · won 49% · −1.5±12.4 vs own baseline · +7.1 vs tour on the same sequence

Strengths and vulnerabilities

Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.

Hurts opponents most with

FH to their forehand · rally+1.3184
BH to their backhand · rally+0.6123
Wide 1st serve · ad court+0.3179
FH to their backhand · rally−0.7201

Most exposed to

BH to their backhand · rally+0.9149
FH to their forehand · rally+1.8230
FH to their backhand · rally+1.8151

Active players who are best at the shot in the top weakness: Richard Gasquet, Nishesh Basavareddy, Arthur Cazaux, Jaume Munar, Daniel Evans

Charted matches