RallyIQ

Game plan

Jordan Thompson v Nishesh Basavareddy

Every number combines what Jordan Thompson does well with what Nishesh Basavareddy allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Jordan Thompson wins, best of 3 26%90%: 7%–56% · best of 5: 21%
Serve points won 60.8% / 66.0% Jordan / Nishesh · tour 63.4%
Strengths only, no similarity priors 26%serve 60.8% / 66.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jordan Thompson's record against Nishesh Basavareddy's tactical lookalikes and in their charted head-to-heads. 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

CareerJordanNishesh
Direction choice−0.21 ±0.06
better than 12%
+0.26 ±0.08
better than 97%
Shot selection+0.10 ±0.18
better than 66%
+0.26 ±0.11
better than 77%
Execution−0.30 ±0.53
better than 53%
+0.46 ±0.64
better than 83%
Points left on the table2.84 ±0.13
lower than 27%
2.06 ±0.10
lower than 98%

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: Jordan Thompson +0.56, Nishesh Basavareddy +1.08. 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.

Jordan Thompson serving

Deuce court

1st serveNowJordan winsv NisheshMatchupOptimal
Wide44%71%72%69.9%±6.557% ▲
Body11%63%61%60.3%±10.70% ▼
T45%77%69%71.0%±7.043% ▼

Optimal v Nishesh Basavareddy: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJordan winsv NisheshMatchupOptimal
Wide44%74%74%74.9%±6.239% ▼
Body8%67%61%65.5%±11.30% ▼
T48%72%72%71.7%±6.761% ▲

Optimal v Nishesh Basavareddy: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 per 100 first serves in before the returner adjusts.

Nishesh Basavareddy serving

Deuce court

1st serveNowNishesh winsv JordanMatchupOptimal
Wide53%76%78%80.5%±5.066% ▲
Body10%69%65%70.9%±10.60% ▼
T37%78%74%77.2%±6.534% ▼

Optimal v Jordan Thompson: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNishesh winsv JordanMatchupOptimal
Wide50%76%68%71.6%±6.945% ▼
Body8%60%59%55.6%±12.90% ▼
T42%72%72%72.9%±6.655% ▲

Optimal v Jordan Thompson: +0.5±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.

Jordan Thompson returning

1st serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle53%+4.3−0.8−0.9+2.6±2.4
FH down the line24%+1.7−4.8−2.5−5.7±4.3
FH crosscourt15%+5.5−2.6+2.8+5.7±4.4
FH slice through the middle5%−4.2+1.9+0.4−1.9±2.2
FH slice crosscourt1%−4.3+0.3−1.0−5.0±1.9

Lean FH crosscourt: +5.0±4.1 per 100 returns v the current mix (521 returns charted)

1st serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle48%+6.4+3.6+1.1+11.1±2.4
BH crosscourt29%+8.8+0.6+1.4+10.9±3.4
BH down the line11%+4.2+2.3−1.0+5.6±4.6
BH slice through the middle7%−4.2−1.4+1.5−4.1±2.5
BH slice crosscourt3%+0.5−3.0−2.0−4.5±2.6

Lean BH through the middle: +2.9±1.7 per 100 returns v the current mix (485 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NisheshValue
FH through the middle61%−3.5+2.4+1.0−0.1±2.8
FH crosscourt24%−0.2−2.7+2.2−0.8±4.3
FH down the line15%−1.8−2.3−3.2−7.3±4.5

Lean FH through the middle: +1.2±1.6 per 100 returns v the current mix (150 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NisheshValue
BH through the middle47%−2.9+0.9−0.2−2.2±2.3
BH crosscourt38%+1.0+1.8−0.5+2.3±3.2
BH down the line9%−0.2+1.2−3.2−2.2±4.9
FH through the middle4%−2.9+0.8+1.0−1.1±2.1
BH slice through the middle2%−11.3−1.1±0.0−12.4±1.0

Lean BH crosscourt: +3.0±2.3 per 100 returns v the current mix (276 returns charted)

Nishesh Basavareddy returning

1st serve to the forehand

ReturnNowTourOwnv JordanValue
FH through the middle44%+4.3−0.9−1.5+1.8±2.6
FH crosscourt31%+5.5+1.5−0.7+6.3±4.3
FH down the line10%+1.7−3.5−2.7−4.5±4.3
FH slice through the middle6%−4.2+0.4−2.3−6.1±2.2
FH slice crosscourt5%−4.3−2.9−1.3−8.5±2.3

Lean FH crosscourt: +5.0±3.2 per 100 returns v the current mix (262 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JordanValue
BH crosscourt31%+8.8−0.7±0.0+8.2±3.4
BH through the middle27%+6.4+2.0−1.1+7.3±2.6
BH slice through the middle18%−4.2+1.6+0.3−2.3±2.5
BH slice crosscourt12%+0.5−2.5+0.1−1.9±3.0
BH slice down the line8%−8.4−0.4−0.7−9.5±3.3

Lean BH crosscourt: +4.9±2.6 per 100 returns v the current mix (253 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JordanValue
FH crosscourt52%−0.2+1.1+2.5+3.3±4.3
FH through the middle35%−3.5+0.5+1.6−1.3±2.7
FH down the line7%−1.8+0.8−1.7−2.6±3.9
FH slice through the middle6%−12.7−0.3−0.4−13.3±1.5

Lean FH crosscourt: +3.0±2.3 per 100 returns v the current mix (86 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JordanValue
BH crosscourt58%+1.0+2.9−1.6+2.3±3.1
BH through the middle35%−2.9−1.0+0.9−3.0±2.3
BH down the line7%−0.2−3.2+3.5+0.1±4.3

Lean BH crosscourt: +2.0±1.6 per 100 returns v the current mix (113 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.

Jordan Thompson

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.7±1.8+2.5+0.2
FH to their backhand · rally+2.6±2.2+1.0+1.6
BH to their backhand · rally+2.1±2.0+1.0+1.1
BH to the middle · rally+1.8±1.6+0.9+0.9
FH to the middle · rally+1.8±1.8+0.7+1.0
BH to their backhand · return+1.2±2.8+0.5+0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−8.0±3.7−4.5−3.5
BH to their forehand · serve +1−6.5±4.7−4.7−1.8
BH to their forehand · return +1−4.5±4.9−2.2−2.2
FH to their forehand · return +1−2.7±3.9−1.9−0.8
BH to their backhand · serve +1−1.4±3.2−0.5−0.9

Nishesh Basavareddy

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+6.5±3.6+3.1+3.4
BH to the middle · serve +1+3.5±2.5+2.3+1.2
BH to their forehand · return +1+3.0±5.0+3.9−0.9
FH to their backhand · return +1+2.8±3.8+2.5+0.3
FH to their forehand · serve +1+2.3±3.3+1.7+0.7
BH to their backhand · rally+2.2±1.8+2.5−0.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−3.8±3.9−1.2−2.6
BH slice to their backhand · rally−1.1±2.3−1.5+0.5
BH to their backhand · return−1.1±2.7+0.1−1.2
FH to the middle · return−0.2±2.2+0.2−0.4
BH to the middle · return+0.1±2.0+0.6−0.5

Against Nishesh Basavareddy-like opponents

Jordan Thompson vMatchesServe pts wonReturn pts won
All charted opponents–63.0%35.9%

Similar by tactical fingerprint: Daniil Medvedev, Frances Tiafoe, Novak Djokovic, Luca Nardi, Richard Gasquet, Karue Sell, Gregoire Barrere, Andy Murray, David Nalbandian, Andre Agassi. When two players have rarely met, their records against these lookalikes fill the gap.