What is the 15-40 hold rate in WTA tennis?

In Match Charting Project WTA data (~4,257 charted matches), when a service game reaches 15–40, the server is broken about 81% of the time — so the hold rate from that score is roughly 19%. That is a game-outcome rate, not the chance the returner wins the very next point.

Is 0-40 better than 15-40 for tennis trading?

As a score prior, yes: games that reach 0–40 are broken about 90% of the time in the same WTA sample, versus ~81% at 15–40. 15–40 still appears more often and is the most searched tennis trading entry. Trade the game outcome (green on break / scratch on deuce), not a one-point scalp.

Should I trade 30-40 on Betfair?

Usually not as a default door. In the same WTA sample, only about 66% of games that reach 30–40 end broken — a much weaker prior than 0–40 or 15–40. Classic 15–40 guides already warn against 30–40; the frequencies match that advice.

Does a high break rate mean laying the server is profitable?

No. These are score-state frequencies from charted points, not exchange P/L. A break-point lay can win fewer than half of next-point outcomes and still work if the break pays more ticks than a deuce scratch loses — but you still need your own price tape, liquidity and exits.

Where do these WTA break point statistics come from?

Jeff Sackmann’s Match Charting Project WTA point files (public charted matches). Convenience sample — not every WTA match ever played. Counts only; not tips.

How do I watch 15-40 live while I trade?

Open the free Tennis Trader Board, filter or pin 15–40 / 0–40 / Any BP. For the classic entry rules, see the 15–40 tennis trading strategy guide. To audit your own match tapes in Python, use the 15–40 hold rate from historical data guide.

15-40 Hold Rate: WTA Break Point Statistics

Quick answer: In Match Charting Project WTA data (~4,257 charted matches, ~91k service games), games that reach 15–40 are broken about 81% of the time; 0–40 about 90%; 30–40 only about 66%. A single break-point point is still won by the returner under half the time (~45%). For the classic 15–40 tennis trading strategy, that supports trading the game outcome — not scalping the next point. Watch doors live on the Tennis Trader Board. Counts only — not tips.

Run it yourself: the Tennis Trader Board is open source — source on GitHub. It needs a Live Tennis API Ultra key (code botblog) for real-time push.

Disclosure: Links to Live Tennis API and BF Bot Manager are affiliate links. We may earn a commission. Live Tennis API checkout code botblog = 10% off. Full disclosure.

Search interest for 15-40 tennis trading is real — BotBlog already ranks for variants of that query — but most “strategy” pages never show how often the server actually holds. This post is the missing table: WTA break point statistics by score and surface, then what that means for Betfair / Match Odds doors.

Trade the score, not the anecdote. Filter live 15–40 / 0–40 on the free board while you read the numbers below.

Open the Tennis Trader Board →

Two rates traders keep mixing up

Forum posts and many “15–40 strategy” write-ups talk as if the returner is a coin flip to break. That confuses two different questions:

Break-point convert (next point): from 0–40 / 15–40 / 30–40, does the returner win this point?
Game broken (game outcome): if the service game ever reached that score, did the returner eventually win the game?

For exchange trading — back the receiver / lay the server, then green on the break or scratch at deuce — the second rate is the one that matches your exit. The first rate is closer to a next-point scalp, which is a different (usually worse) bet.

Score	Returner wins that BP point	Game broken if it reached that score	Sample (games)
0–40	48.1%	89.9%	7,514
15–40	44.6%	80.9%	16,260
30–40	44.7%	65.6%	22,309

Source: Match Charting Project WTA point files (to-2009 + 2010s + 2020s) joined to charted match surfaces. One threat counted per service game at the first time each focus score appears. Convenience sample of charted matches — not the full WTA calendar. Not Betfair or Matchbook prices.

Plain English: the returner does not win the next point most of the time. But once you are at 0–40 or 15–40, that game is usually broken before it ends. At 30–40, the server holds far more often — which is why classic guides (and our own break-point playbook) treat 30–40 as a weaker door.

15-40 hold rate (the number people actually search)

If 15–40 hold rate means “how often does the server hold after the game hits 15–40?”, the WTA charted sample says:

Broken: ~80.9%
Held: ~19.1%

That is why the 15-40 tennis trading strategy still has a coherent score prior when you green on the break and accept a small red when the server digs out to deuce. It is not a reason to assume the next point is +EV for the returner.

Compared with 0-40 tennis trading: rarer door, stronger break prior (~90% of those games end broken). Compared with 30-40 tennis: more common door, much weaker break prior (~66%). Frequency without price is still not a strategy — but it is a filter for which doors deserve paper time.

Surface: clay vs hard vs grass

Same metric — game broken % after the score was reached — by surface:

Surface	0–40	15–40	30–40
Clay	92.4%	82.6%	67.6%
Hard	89.3%	80.6%	65.6%
Grass	88.5%	78.7%	61.5%

Clay breaks a little more often at every door; grass a little less. The rank order does not change: 0–40 > 15–40 > 30–40 on every surface in this sample. Price swings are a separate question — grass breaks can move Match Odds harder even when they are rarer — so use surface as context on the board, not as a reason to flip the door set.

What this means for Betfair tennis trading strategies

Mapped onto how people actually trade break points:

Idea	Score prior from this data	Practical note
Lay the server at 0–40 / 15–40, green on break, scratch at deuce / 40–40	Strong game-break prior	Aligns with classic 15–40 rules; keep stake and liquidity rules tight
Same trade at 30–40 by default	Weaker (~66% broken)	Skip unless you have a separate edge (player, set score, price)
Next-point scalp at love-all / 15–15	Not supported here	Small Match Odds moves; spreads eat you — see paper bad fills patterns elsewhere
“Returner wins the BP >50%”	False in this sample (~45%)	Do not size as if the next point is a coin flip for the returner

Again: frequency ≠ edge. Exchange commission, bad fills, and thin Challenger books can erase a beautiful prior. Use these tables to choose doors; use your own journal / board for P/L.

Automate after you believe the door. BF Bot Manager can fire on tennis score triggers in Simulation first — then tighten odds bands and green-up.

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Affiliate link — start in Simulation. Disclosure. Tennis setup: BFBM tennis guide.

How to use this with the Tennis Trader Board

Open the free Tennis Trader Board.
Filter or pin 15–40, 0–40, or Any BP — skip treating every 30–40 as equal to 15–40.
Read the classic entry/exit language in the 15–40 strategy guide and the wider break-point trading playbook.
After the match, if you want to count holds on your completed tapes (Live Tennis API history), use the 15–40 hold rate from historical data walker — that page is the method; this page is the published WTA prior.

Want your own WebSocket + history for bots? Live Tennis API Ultra (code botblog = 10% off).

Method and limits

Data: Match Charting Project WTA points + matches (public charting sample).
Focus scores: 0–40, 15–40, 30–40 (server–receiver order as stored in the project).
Game broken: among service games that hit the score, did the returner win that game?
BP convert: among rows at that score, did the returner win that point?
Not included: exchange odds, tick P/L, ATP, or “every WTA match on Tour.”

If you only needed the live alert chip, stop at the board. If you needed the 15-40 hold rate number with a cited sample size, you now have it — and a clear reason the 15–40 / 0–40 cluster stays in the tennis funnel while default 30–40 does not.