ATP · Right-handed · 45 charted matches · 2003–2021
Ivo Karlovic
Archetype: Serve-and-volleyer · Net rusher (6)
Against an average opponent
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
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 13,230 shots.
Shot expected value
The share of points Ivo Karlovic 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.
Return +1: drive to your backhand side
position worth 44% to the average player · 444 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice through the middle | 32% | 25.2%±5.6 | 32.6% |
| BH slice crosscourt | 24% | 36.1%±7.1 | 40.9% |
| BH slice down the line | 16% | 38.3%±8.3 | 33.3% |
| BH slice down the line + approach | 6% | 45.9%±12.2 | 48.3% |
| BH slice crosscourt + approach | 5% | 39.1%±12.1 | 45.9% |
| FH inside-out | 4% | 54.7%±13.1 | 51.7% |
| BH down the line | 3% | 30.7%±13.4 | 44.2% |
| BH slice through the middle + approach | 2% | 46.6%±14.7 | 42.2% |
Return +1: drive to your forehand side
position worth 41% to the average player · 329 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 43% | 34.6%±6.2 | 45.3% |
| FH through the middle | 23% | 28.3%±7.6 | 39.4% |
| FH down the line | 20% | 28.1%±8.0 | 40.9% |
| FH slice through the middle | 8% | 19.0%±9.4 | 24.5% |
Serve +1: drive to your middle, you at net
position worth 61% to the average player · 326 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH volley down the line | 22% | 63.9%±8.2 | 63.8% |
| BH volley down the line | 21% | 54.7%±8.7 | 58.4% |
| BH volley crosscourt | 18% | 58.2%±9.1 | 62.9% |
| FH volley crosscourt | 17% | 69.4%±8.7 | 68.7% |
| FH volley through the middle | 9% | 39.4%±11.5 | 46.6% |
| BH volley through the middle | 8% | 40.5%±11.9 | 43.2% |
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 276 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH slice through the middle | 28% | 33.4%±7.9 | 35.1% |
| BH slice crosscourt | 26% | 33.2%±8.1 | 42.5% |
| BH slice down the line | 14% | 29.0%±9.6 | 37.1% |
| FH inside-out | 5% | 39.3%±13.8 | 51.8% |
| BH slice down the line + approach | 5% | 47.6%±14.3 | 48.6% |
| BH through the middle | 4% | 28.2%±13.3 | 43.7% |
| BH slice through the middle + approach | 4% | 49.2%±14.8 | 41.2% |
Serve under pressure
Pressure predictability index −2 How much less varied Ivo Karlovic's first-serve direction gets on break points. Positive means easier to read. Based on 210 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 44% | 62% ▲ | 84% / 73% |
| Body | 8% | 5% | 66% / 63% |
| T | 48% | 33% ▼ | 82% / 75% |
1,963 normal · 58 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 62% | 56% | 82% / 73% |
| Body | 7% | 8% | 66% / 63% |
| T | 31% | 36% | 78% / 72% |
1,661 normal · 152 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 serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 44% | 73.4%±2.4 n=897 | 57% ▲ |
| Body | 8% | 65.7%±5.7 n=158 | 0% ▼ |
| T | 48% | 72.3%±2.3 n=966 | 43% ▼ |
Consistent with an optimal mix (p = 0.06).
Optimal mix: +0.8 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 62% | 69.7%±2.2 n=1,122 | 75% ▲ |
| Body | 7% | 65.7%±6.4 n=120 | 0% ▼ |
| T | 31% | 69.7%±3.1 n=571 | 25% ▼ |
Consistent with an optimal mix (p = 0.49).
Optimal mix: +0.6 per 100 first serves.
Exploitability 0.68 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: +0.7±2.5 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. (1,696 repeats, 2,048 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 193 | 28% | −9.1±4.9 | |
| 1st | Ad court | T | 406 | 19% | −9.4±3.1 | |
| 1st | Ad court | Wide | 566 | 22% | −5.2±2.8 | |
| 1st | Deuce court | Body | 226 | 21% | −15.2±4.2 | |
| 1st | Deuce court | T | 628 | 16% | −8.7±2.4 | |
| 1st | Deuce court | Wide | 445 | 19% | −7.8±3.0 | |
| 2nd | Ad court | Body | 162 | 47% | −2.6±5.9 | |
| 2nd | Ad court | T | 115 | 38% | −10.8±6.6 | |
| 2nd | Ad court | Wide | 310 | 35% | −13.2±4.3 | |
| 2nd | Deuce court | Body | 224 | 35% | −13.7±4.9 | |
| 2nd | Deuce court | T | 278 | 46% | −3.3±4.7 | |
| 2nd | Deuce court | Wide | 143 | 36% | −12.0±6.0 |
Signature patterns
Recurring sequences that win more than Ivo Karlovic's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- Wide serve (deuce court) → BH volley crosscourt used 2.5% · won 67% · −9.2±7.2 vs own baseline
- T serve (deuce court) → BH volley down the line used 2.5% · won 62% · −14.9±7.5 vs own baseline
- Wide serve (ad court) → BH volley down the line used 2.6% · won 56% · −20.8±7.5 vs own baseline
Return
- vs T serve (deuce court) → BH slice through the middle, deep used 2.3% · won 35% · +9.8±8.2 vs own baseline
- vs wide serve (ad court) → BH slice through the middle, mid used 2.9% · won 33% · +7.6±7.4 vs own baseline
- vs wide serve (ad court) → BH slice through the middle, short used 2.1% · won 34% · +8.3±8.4 vs own baseline
- vs wide serve (ad court) → BH slice crosscourt, mid used 2.2% · won 33% · +7.9±8.1 vs own baseline
- vs T serve (deuce court) → BH slice through the middle, mid used 3.4% · won 31% · +5.7±6.8 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 5.9% · won 40% · +4.4±10.5 vs own baseline
- FH crosscourt → BH slice crosscourt used 5.9% · won 40% · +4.4±10.5 vs own baseline
- BH slice down the line → FH crosscourt used 4.8% · won 37% · +0.7±10.8 vs own baseline
- BH slice through the middle → FH down the line used 5.5% · won 35% · −1.2±10.4 vs own baseline
- FH crosscourt → BH slice through the middle used 4.6% · won 34% · −2.4±10.7 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Ivo Karlovic wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- Wide serve → BH through the middle return → FH volley crosscourt used 0.7% · won 57% · +12.5±11.4 vs own baseline · −4.0 vs tour on the same sequence Disrupted by Gael Monfils (5/6)
- Body serve → BH through the middle return → FH volley down the line used 0.5% · won 57% · +12.5±12.3 vs own baseline · +13.5 vs tour on the same sequence Disrupted by Gael Monfils (5/7)
- Wide serve → FH through the middle return → FH volley down the line used 0.4% · won 58% · +13.2±12.9 vs own baseline · +9.1 vs tour on the same sequence
- BH volley down the line → FH crosscourt → FH volley down the line used 0.4% · won 58% · +13.2±12.9 vs own baseline · +3.4 vs tour on the same sequence
- Wide serve → FH through the middle return → BH volley crosscourt used 0.4% · won 57% · +11.8±12.7 vs own baseline · +3.8 vs tour on the same sequence
- BH volley down the line → FH down the line → BH volley crosscourt used 0.6% · won 54% · +9.0±12.2 vs own baseline · −10.6 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
| Wide 1st serve · ad court | +5.5 | 1,122 |
| FH to their forehand · serve +1 | +5.0 | 126 |
| Wide 1st serve · deuce court | +5.0 | 897 |
| T 1st serve · ad court | +4.5 | 571 |
| T 1st serve · deuce court | +3.8 | 966 |
Most exposed to
| FH to their backhand · return +1 | −7.0 | 175 |
| FH to their forehand · return +1 | −3.1 | 185 |
| Wide 2nd serve · deuce court | −2.5 | 143 |
| BH to their forehand · return +1 | −1.6 | 125 |
| BH to their backhand · return | −1.6 | 350 |
Active players who are best at the shot in the top weakness: Jack Draper, Ugo Humbert, Rafael Nadal, Casper Ruud, Pablo Carreno Busta
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Backhand slice | 86% | |
| BH down the line | 47% | |
| Chipped returns | 59% | |
| Serve & volley | 72% | |
| Point-ending shots | 42.0% | |
| Unforced errors / shot | 16.2% | |
| Points at net | 25% | |
| Wide serves · ad | 62% | |
| 1st serve in | 66% | |
| FH down the line | 34% | |
| Deep returns | 32% | |
| T serves · deuce | 48% | |
| Drop shots / shot | 1.9% | |
| Wide serves · deuce | 44% | |
| Run-around forehands | 19% | |
| Forehand share | 51% | |
| T serves · ad | 31% | |
| Through the middle | 19% | |
| Avg rally length | 2.5 |
Plays most like
- Greg Rusedski 1993–2005 plan v
- Richard Krajicek 1992–2000 plan v
- Tim Henman 1995–2006 plan v
- Max Mirnyi 2001–2006 plan v
- Patrick Rafter 1993–2001 plan v
- Nicolas Mahut 2007–2021 plan v
- Gilles Muller 2005–2017 plan v
- Steve Johnson 2015–2022 plan v
Closest from another era
- Richard Krajicek 1992–2000
- Patrick Rafter 1993–2001
- Boris Becker 1985–1999
Charted matches
- Andrey Rublev v Ivo Karlovic L US Open R128 · Hard · 30 Aug 2021
- Ivo Karlovic v Yuichi Sugita W US Open Q3 · Hard · 27 Aug 2021
- Gael Monfils v Ivo Karlovic L Australian Open R64 · Hard · 23 Jan 2020
- Vasek Pospisil v Ivo Karlovic W Australian Open R128 · Hard · 21 Jan 2020
- Ivo Karlovic v Bjorn Fratangelo L Washington R64 · Hard · 29 Jul 2019
- Thomas Fabbiano v Ivo Karlovic L Wimbledon R64 · Grass · 3 Jul 2019
- Andrea Arnaboldi v Ivo Karlovic W Wimbledon R128 · Grass · 1 Jul 2019
- Feliciano Lopez v Ivo Karlovic W Surbiton CH R16 · Grass · 6 Jun 2019
- Ivo Karlovic v Prajnesh Gunneswaran W Indian Wells Masters R32 · Hard · 19 Mar 2019
- Dominic Thiem v Ivo Karlovic L Indian Wells Masters R16 · Hard · 14 Mar 2019
- Ivo Karlovic v Prajnesh Gunneswaran Indian Wells Masters R32 · Hard · 11 Mar 2019
- Dominik Koepfer v Ivo Karlovic L Houston CH QF · Hard · 16 Nov 2018