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ATP · Player Profile

Sumit Nagal

ATP · India · Updated 30 Jun 2026 · data snapshot 2026-05-16
At a glance · Sumit Nagal

Form & fitness

Form
Cold streak
last 10 matches · 3L streak
Fitness
Long layoff
45 days rest · 0 matches in 28d
Last match
45d ago
no retirements or walkovers in 90d
Weighted Elo · 10 monthsStable

Model carry-in

Sumit Nagal sits in the top tier band of active ATP-tour players by our weighted Elo measure. On clay, the model rates them below their overall number — a surface where their price routinely overstates them. Pressure profile: tour-median. We use this to size break-point and tiebreak edges in close matches. Career record in our database: 325-229 (58.7%) across 554 matches — hard 102-94, clay 223-133, grass 0-2. Live numbers (weighted Elo, choke index, projected hold, full service profile, recent form) refresh nightly and are visible to subscribers.

Surface Elo
Clay
1924
Hard
1828
Grass
1461
Head-to-head · most-played opponents
Ramkumar Ramanathan 7 meetings1–6
Niki Kaliyanda Poonacha 5 meetings4–1
N Vijay Sundar Prashanth 5 meetings2–3
Stefano Travaglia 5 meetings1–4
Geoffrey Blancaneaux 4 meetings4–0

Full data & recent form

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152W 200L · +17.5% Kelly bank growth · every signal tracked publicly

Player Lab

A visual read on Sumit Nagal’s serve, return, form and nerve — from the model’s feature store.

🎯 Serve / Return DNA
vs the ATP field · 50 = tour median
🏟️ Surface Power
rating by surface (wElo)
📈 Form Trend
rating swing · last 8 weeks
🧊 Clutch Index
break points · tiebreaks · deciders
Weighted Elo
2081
top tier
Clay Welo
1924
-157 below overall · surface to fade
Choke Index
0.379
tour-median
Projected Hold
vs draw-average opponent
Surface profile · snapshot
Hard
Welo1828 (-253)
Hold % (52w)
Last 52w3-1
Clay
Welo1924 (-157)
Hold % (52w)
Last 52w0-2
Grass
Welo1461 (-620)
Hold % (52w)
Last 52w
Service & return profile · snapshot 2026-05-16
Hold rate service games won
Break rate return games won
First serve in 1st serves landing in
Ace rate aces per service point
Tiebreak win pct tiebreaks won, last 36mo56.6%
Deciding-set win pct final-set wins, last 36mo46.6%
Comeback rate recovered from a set down
Collapse rate lost from a set up
Recent form (last 10 matches)
L vs Marcos GironBitpanda Hamburg Open · 2026-05-16 · C · R326-3 6-2
L vs Francisco CerundoloBMW Open · 2026-04-13 · C · R1286-2 6-2
L vs Diego DeduraBMW Open by Bitpanda · 2026-04-12 · H · R326-7 6-3 6-3
W vs Lorenzo GiustinoBMW Open by Bitpanda · 2026-04-11 · H · R321-6 6-3
W vs Henri SquireChallenger · 2026-03-23 · H ·
W vs Timofey SkatovBastad ATP · 2025-07-13 · H ·
L vs Tomas MachacAustralian Open · 2025-01-12 · H · R1286-3 6-1 7-5
L vs Alex MichelsenASB Classic · 2025-01-06 · H · R1286-7 6-4 6-2
L vs Edas ButvilasMontemar CH · 2024-11-18 · C · R326-3 7-5
L vs Corentin MoutetMetz · 2024-11-04 · H · R327-5 4-0 RET
Career splits
Overall325-229 (58.7%)
Hard102-94 (52.0%)
Clay223-133 (62.6%)
Grass0-2 (0.0%)
Frequently asked
How old is Sumit Nagal?

Sumit Nagal was born on 16 August 1997, making them 28 years old and represents India. They compete on the ATP tour.

Is Sumit Nagal in form right now?

Over their last 5 completed matches in our database Sumit Nagal has gone 2-3 (L-L-L-W-W, most recent first) — in patchy form. Form is refreshed nightly.

What is Sumit Nagal's best surface?

By our weighted Elo measure, Sumit Nagal's strongest surface is clay, where they rate at 1924 Welo. Their record in our database on clay over the last 52 weeks is 0-2.

How does Sumit Nagal perform under pressure?

Their choke index reads 0.379 — tour-median. We compute this from every break-point, tiebreak, and serving-for-the-set scenario over 36 months.

What is Sumit Nagal's career win rate?

Sumit Nagal has won 325 of 554 matches in our database (58.7%). By surface: hard 102-94, clay 223-133, grass 0-2.

What tour does Sumit Nagal play on?

Sumit Nagal competes on the ATP tour. Our model covers every active ATP player with 30 or more matches in our database — refreshed nightly with new results and ratings.

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Methodology

Surface-specific weighted Elo, choke index, projected hold and other signals come from our Markov tennis model trained on 1.8 million matches. Read the methodology: how the Markov model misprices pressure · how the fault.bet model is built · Kelly staking guide.

Numbers refresh nightly from the production model. Last data snapshot: 2026-05-16. Not personalised advice. 18+. Responsible Gambling