Tennis Tips UK Profit Statistics | Results History
Performance dashboard
Every pick. Every result.
Tennis betting resultsIncludes every bet in the supplied Betdiary archive (21 January 2024–8 October 2026), plus new published results. Stakes are shown in units. Archive dates and odds are retained; original reports can differ.Data through 2026-10-27 · Stats exclude pending and void stakes.
All 494 records in this dataset.
Yield
38.62%Net profit ÷ settled stakeStrike rate
35.4%Wins ÷ wins and lossesSettled bets
494Wins, losses and voids; excludes pendingAverage odds
4.93Unweighted; won and lost betsMax drawdown
22.13 uLargest fall from a profit peakCumulative net profit
Units · chronological match-date order
Starts at zero for the selected dataset. Same-day results use record order. No forecast or smoothing.
Result breakdown
All outcomes in the selection
A low strike rate can accompany higher odds. Read it alongside profit, yield and drawdown.
Result-by-result record
Linked reports include available screenshots. Other archive rows link to Betdiary.
| Date | Selection / match | Tournament | Odds | Stake | Result | Net P/L | Report |
|---|---|---|---|---|---|---|---|
| Aleksandar Kovacevicvs Ben Shelton | ATP Basel · Round 1 | 5.08 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Tomas Martin Etcheverryvs Matteo Berrettini | ATP Vienna · Round 1 | 2.50 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Damir Dzumhurvs Zizou Bergs | ATP Brussels · Round of 16 | 4.44 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Rei Sakamotovs Karen Khachanov | ATP Almaty R1 | 2.99 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Alejandro Davidovich Fokinavs Alexander Zverev | ATP Shanghai Masters · Semi-final | 4.23 | 1.00 u | Won | +3.23 u | Report ↗ | |
| Botic van de Zandschulpvs Rafael Jódar | ATP Shanghai R16 | 2.74 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Pablo Carreño Bustavs Félix Auger-Aliassime | ATP Shanghai R3 | 3.79 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| Zachary Svajdavs Learner Tien | ATP Shanghai · Round 2 | 3.58 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| R SakamotoRei Sakamoto vs Andrey Rublev | ATP · Shanghai | 3.24 | 1.00 u | Won | +2.24 u | Report ↗ | |
| D SvrcinaCameron Norrie vs Dalibor Svrcina | ATP · Shanghai | 2.67 | 1.00 u | Won | +1.67 u | Report ↗ | |
| S MochizukiRoman Safiullin vs Shintaro Mochizuki | ATP Qual. · Shanghai | 4.75 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| H HurkaczHubert Hurkacz vs Karen Khachanov | ATP · Beijing | 2.26 | 1.00 u | Won | +1.26 u | Report ↗ | |
| K JacquetKyrian Jacquet vs Luciano Darderi | ATP · Tokyo | 2.22 | 1.00 u | Won | +1.22 u | Report ↗ | |
| R SafiullinRoman Safiullin vs Flavio Cobolli | ATP · Beijing | 2.06 | 1.00 u | Won | +1.06 u | Report ↗ | |
| T MachacTomas Machac vs Arthur Gea | ATP Qual. · Beijing | 2.35 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| L HarrisValentin Vacherot vs Lloyd Harris | ATP · Chengdu | 2.00 | 1.00 u | Won | +1.00 u | Report ↗ | |
| J DuckworthJames Duckworth vs Lorenzo Sonego | ATP · Chengdu | 2.23 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| P ZahrajMurphy Cassone vs Patrick Zahraj | Challenger Qual. · Saint-Tropez | 3.74 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| A MatusevichAnton Matusevich vs Tristan Schoolkate | Challenger · Rennes | 2.24 | 1.00 u | Lost | -1.00 u | Report ↗ | |
| H MatsuokaHayato Matsuoka vs Lloyd Harris | Challenger · Guangzhou | 4.68 | 1.00 u | Lost | -1.00 u | Report ↗ |
Page 1 of 25 · 20 records per page
How these numbers are calculated
Net profit: winning stake × (decimal odds − 1), minus losing stakes. Void results return zero profit. Pending selections have no realised profit.
Yield: net profit ÷ the total stake on won and lost bets × 100. Strike rate: wins ÷ won and lost bets × 100. Average odds: the unweighted mean of decimal odds on won and lost bets.
Max drawdown: the largest fall from any previous cumulative profit peak, including the initial zero. These metrics describe only the selected records, and exclude membership fees, taxes and exchange commission.
Why is Betdiary ROI higher than that shown here? Betdiary reports gross returns including returned stakes, and its turnover may include void bets. Our yield shows net betting profit divided by stakes on won and lost bets, excluding void stakes. Both are before membership fees and other costs. Compare the external Betdiary record; update times can differ.
We use Pinnacle as our recorded pricing baseline, chosen for its published policy of not restricting customers simply because they win. Historical source exceptions are retained where recorded. This is a reference price, rather than a bookmaker recommendation.
Members use a range of bookmakers and exchanges. Exchange prices can be higher even after commission. Securing better net prices on the same picks, with comparable stakes and settlement, can improve the return shown in our record. Your actual result depends on the odds accepted or matched, fees and settlement rules, including tennis retirement and void rules.
Our approach uses a proprietary data model and human review. Imported history and available pre-match screenshots are distinct sources of evidence.
To distinguish recorded outcomes from evidence of value, read our review of tennis betting metrics and closing line value research. These explain the tests and limitations beyond a selected results record.
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Our proof standard: for each newly settled club pick, we aim to publish the original email screenshot showing the date and time sent to members, alongside a screenshot of the quoted bookmaker or exchange odds. Check the linked result report for the evidence available; older archive entries may use different formats.
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