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With no line posted, over 38 NBA games since October 2025, Taelon Peter has gone over a balanced line of 0.5 turnovers 20 times (53%), and over their last 10 they have done it 7 times (70%). They average 0.7 turnovers across those 38 games. Their last 5 average 1.2, 69% above their 0.7 this season (38 games). These are measured box-score results from Indiana Pacers games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
| Line | All 38 | Last 10 | Last 5 |
|---|---|---|---|
| Over 0.5 turnovers | 20 of 38 (53%) | 7 of 10 (70%) | 3 of 5 (60%) |
| Over 1.5 turnovers | 5 of 38 (13%) | 2 of 10 (20%) | 2 of 5 (40%) |
| Over 2.5 turnovers | 2 of 38 (5%) | 1 of 10 (10%) | 1 of 5 (20%) |
These are common half-point lines measured against the logged games above, not the lines posted for Taelon Peter right now. The live board at the top of this page carries those, and it updates through the day.
Taelon Peter has averaged 1.2 turnovers over their last 5, 69% above their 0.7 across all 38 logged games.
| Window | Average |
|---|---|
| Last 5 games | 1.2 turnovers |
| Last 10 games | 1.0 turnovers |
| All 38 logged games | 0.7 turnovers |
| Best in the log | 3 |
| Worst in the log | 0 |
| Home (19 games) | 0.7 turnovers |
| Away (19 games) | 0.7 turnovers |
Taelon Peter's highest in this log is 3 turnovers against the Minnesota Timberwolves on 2026-04-07, and the lowest is 0 against the Detroit Pistons on 2026-04-12. Both are single games, not a range to expect.
| Split | Over 0.5 turnovers |
|---|---|
| At home | 11 of 19 (58%) |
| On the road | 9 of 19 (47%) |
| On one day between games | 3 of 5 (60%) |
| On two or more days between games | 15 of 29 (52%) |
Taelon Peter has cleared 0.5 turnovers at much the same rate home and away, 58% against 47%.
A day between games has not moved the number much: 60% on one day, 52% on two or more.
A split appears only where both sides have 5 games or more behind them.
| Date | Opponent | Venue | Turnovers |
|---|---|---|---|
| 2026-04-12 | Detroit Pistons | Home | 0 |
| 2026-04-10 | Philadelphia 76ers | Home | 1 |
| 2026-04-09 | Brooklyn Nets | Away | 2 |
| 2026-04-07 | Minnesota Timberwolves | Home | 3 |
| 2026-04-05 | Cleveland Cavaliers | Away | 0 |
| 2026-04-03 | Charlotte Hornets | Away | 0 |
| 2026-04-01 | Chicago Bulls | Away | 1 |
| 2026-03-18 | Portland Trail Blazers | Home | 1 |
| 2026-03-15 | Milwaukee Bucks | Away | 1 |
| 2026-03-12 | Phoenix Suns | Home | 1 |
Taelon Peter of the Indiana Pacers in turnovers, measured from official NBA box scores rather than from anybody's projection. The table above is their hit rate at every threshold their own distribution supports, over three nested windows, each with its own denominator. Below it are the games themselves. No line or price is printed on this page; when the board carries one, it loads live above this text and this history is what it will be measured against.
Calculated by the ParlayBuilder Prop Engine.
Every figure on this page is counted from official NBA box scores, one row per game actually played. No projections, and a game the player missed is absent rather than scored as a zero. Where a hit rate is compared with the live price, it is first pulled toward that price in proportion to how thin the sample is, so three-for-three does not read here as a certainty.
Past performance does not predict future results, and Parlay Builder does not accept wagers, hold funds or settle bets. This is measured history and a price, and what you do with them is your decision.
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None is printed on this page, which is why this page shows thresholds drawn from their own game log instead. Those are facts about games already played and they do not go stale; a line does, which is why one is never printed into a cached page here.
The table above answers that at every threshold their log supports, over all their logged games and over the last ten and five, so a recent run and a full record can be read side by side rather than confused for each other.
Official box scores, one row per game played, loaded four times a day and rebuilt into this page daily. Games the player missed are absent rather than counted as zero, so the averages describe games they were actually in.
All Taelon Peter props and hit rates
How NBA prop markets behave, measured across the league
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.