RallyIQ

Game plan

Thomas Enqvist v Nicolas Kiefer

Every number combines what Thomas Enqvist does well with what Nicolas Kiefer allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Thomas Enqvist wins, best of 3 91%90%: 75%–97% · best of 5: 95%
Serve points won 68.7% / 58.2% Thomas / Nicolas · tour 63.8%
Strengths only, no similarity priors 90%serve 68.6% / 58.2%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Thomas Enqvist's record against Nicolas Kiefer's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.0 on serve, +0.5 on return vs expectation (403 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

CareerThomasNicolas
Direction choice+0.16 ±0.14
better than 90%
+0.09 ±0.17
better than 80%
Shot selection−0.49 ±0.18
better than 11%
+0.16 ±0.23
better than 71%
Execution−0.02 ±0.73
better than 67%
−1.52 ±0.70
better than 9%
Points left on the table2.26 ±0.26
lower than 87%
2.54 ±0.35
lower than 56%

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.

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.

Thomas Enqvist serving

Deuce court

1st serveNowThomas winsv NicolasMatchupOptimal
Wide48%71%76%74.4%±7.943% ▼
Body8%63%71%70.8%±14.10% ▼
T44%79%77%80.7%±7.057% ▲

Optimal v Nicolas Kiefer: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomas winsv NicolasMatchupOptimal
Wide41%81%73%81.3%±7.554% ▲
Body10%67%62%66.0%±14.60% ▼
T49%74%79%80.5%±7.046% ▼

Optimal v Nicolas Kiefer: +0.6±0.9 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.

Nicolas Kiefer serving

Deuce court

1st serveNowNicolas winsv ThomasMatchupOptimal
Wide50%72%74%73.2%±7.443% ▼
Body6%63%65%65.1%±14.50% ▼
T44%77%78%79.4%±7.357% ▲

Optimal v Thomas Enqvist: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNicolas winsv ThomasMatchupOptimal
Wide52%71%72%70.0%±8.743% ▼
Body3%59%65%61.3%±16.30% ▼
T44%70%75%73.2%±8.757% ▲

Optimal v Thomas Enqvist: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 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.

Thomas Enqvist returning

1st serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle50%+4.3±0.0+0.7+5.0±2.9
FH crosscourt29%+5.5−0.2−1.0+4.3±4.4
FH down the line22%+1.7+1.2−2.9±0.0±4.5

Lean FH through the middle: +1.3±2.2 per 100 returns v the current mix (270 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NicolasValue
BH through the middle39%+6.4−2.0±0.0+4.4±2.8
BH crosscourt32%+8.8−0.1+4.2+12.9±3.5
BH down the line16%+4.2−1.1+0.2+3.4±4.4
BH slice through the middle6%−4.2−1.6−1.7−7.5±2.3
BH slice down the line3%−8.4+0.4±0.0−7.9±1.8

Lean BH crosscourt: +7.3±2.7 per 100 returns v the current mix (272 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NicolasValue
FH through the middle42%−3.5−1.7+1.8−3.4±2.9
FH crosscourt37%−0.2−0.1−0.7−1.0±4.3
FH down the line21%−1.8−4.3+0.3−5.9±4.4

Lean FH crosscourt: +2.0±3.1 per 100 returns v the current mix (107 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NicolasValue
BH crosscourt45%+1.0−0.3−2.7−2.0±3.2
BH through the middle41%−2.9+0.9+0.9−1.1±2.5
BH down the line15%−0.2+2.7+1.7+4.1±4.9

Lean BH down the line: +4.9±4.5 per 100 returns v the current mix (219 returns charted)

Nicolas Kiefer returning

1st serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle53%+4.3+1.6+0.2+6.1±2.9
FH crosscourt30%+5.5+0.2+1.0+6.7±4.4
FH down the line18%+1.7−3.0−3.0−4.3±4.4

Lean FH crosscourt: +2.3±3.5 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ThomasValue
BH through the middle37%+6.4+0.6−2.7+4.3±2.8
BH crosscourt30%+8.8−0.8−1.3+6.7±3.6
BH slice through the middle14%−4.2+0.6−0.5−4.1±2.4
BH down the line9%+4.2+3.2−3.1+4.3±3.9
BH slice crosscourt7%+0.5−0.9+0.9+0.6±2.6

Lean BH crosscourt: +3.5±2.8 per 100 returns v the current mix (161 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ThomasValue
BH crosscourt52%+1.0−0.6+1.8+2.2±3.2
BH through the middle38%−2.9+0.7+0.3−2.0±2.5
BH down the line10%−0.2−0.3−3.2−3.7±4.5

Lean BH crosscourt: +2.1±1.8 per 100 returns v the current mix (122 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 on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Thomas Enqvist

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+7.1±4.8+0.7+6.4
FH to their forehand · serve +1+5.4±5.4−1.0+6.4
BH to their backhand · serve +1+3.0±4.2+0.5+2.5
FH to the middle · return+1.6±3.4±0.0+1.6
BH to their backhand · return +1+1.0±4.5+2.3−1.3
FH to their forehand · return +1+0.6±5.9−3.1+3.7

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−5.4±3.2−3.8−1.6
FH to their backhand · return−4.2±5.8−1.5−2.7
BH to their forehand · rally−2.5±5.7−3.6+1.2
BH to the middle · return−1.7±3.1−0.6−1.1
FH to their forehand · rally−1.6±3.4−0.9−0.7

Nicolas Kiefer

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.0±6.5+4.3+1.7
FH to the middle · return+2.7±3.5+1.1+1.6
FH to their forehand · return +1+1.7±6.0−1.0+2.7
FH to their backhand · serve +1+0.1±4.9−1.4+1.6
BH to the middle · rally−1.1±3.0+0.1−1.2
BH to the middle · return−1.4±3.0+1.4−2.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−7.5±3.5−5.5−2.1
FH to their forehand · rally−5.9±3.5−4.2−1.7
FH to their forehand · serve +1−3.9±5.5−4.3+0.4
FH to the middle · rally−3.6±3.1−0.7−3.0
BH to their backhand · return +1−3.3±4.8±0.0−3.3

Against Nicolas Kiefer-like opponents

Thomas Enqvist vMatchesServe pts wonReturn pts won
All charted opponents–65.2%37.3%
Players most similar to Nicolas Kiefer2 64.7%38.9%

Similar by tactical fingerprint: Marin Cilic, Otto Virtanen, Andreas Seppi, Mardy Fish, Mario Ancic, Thomas Johansson, Sebastien Grosjean, Wayne Ferreira, Yevgeny Kafelnikov, Magnus Norman. When two players have rarely met, their records against these lookalikes fill the gap.