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With no line posted, over 69 NBA games since October 2025, Jonas Valančiūnas has gone over a balanced line of 0.5 assists 47 times (68%), and over their last 10 they have done it 4 times (40%). They average 1.1 assists across those 69 games. Their last 5 average 1.0, 13% below their 1.1 this season (69 games). These are measured box-score results from Denver Nuggets games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
| Line | All 69 | Last 10 | Last 5 |
|---|---|---|---|
| Over 0.5 assists | 47 of 69 (68%) | 4 of 10 (40%) | 2 of 5 (40%) |
| Over 1.5 assists | 20 of 69 (29%) | 2 of 10 (20%) | 1 of 5 (20%) |
| Over 2.5 assists | 9 of 69 (13%) | 2 of 10 (20%) | 1 of 5 (20%) |
These are common half-point lines measured against the logged games above, not the lines posted for Jonas Valančiūnas right now. The live board at the top of this page carries those, and it updates through the day.
Jonas Valančiūnas has averaged 1.0 assists over their last 5, 13% below their 1.1 across all 69 logged games.
Jonas Valančiūnas's assists swing widely: a standard deviation of 1.1 on a 1.1 average. A wide spread means the average describes the middle of a broad range rather than a typical night.
| Window | Average |
|---|---|
| Last 5 games | 1.0 assists |
| Last 10 games | 1.0 assists |
| All 69 logged games | 1.1 assists |
| Best in the log | 4 |
| Worst in the log | 0 |
| Home (35 games) | 1.1 assists |
| Away (34 games) | 1.2 assists |
Jonas Valančiūnas's highest in this log is 4 assists against the San Antonio Spurs on 2026-04-12, and the lowest is 0 against the Minnesota Timberwolves on 2026-04-30. Both are single games, not a range to expect.
| Split | Over 0.5 assists |
|---|---|
| At home | 23 of 35 (66%) |
| On the road | 24 of 34 (71%) |
| On one day between games | 10 of 12 (83%) |
| On two or more days between games | 35 of 55 (64%) |
| Against the Minnesota Timberwolves | 3 of 8 (38%) |
Jonas Valančiūnas has cleared 0.5 assists at much the same rate home and away, 66% against 71%.
Short rest has suited them, 83% over 12 games on a single day between games against 64% over 55 with more.
Their deepest matchup sample is 8 games against the Minnesota Timberwolves, 3 of them over 0.5 assists.
A split appears only where both sides have 5 games or more behind them.
| Date | Opponent | Venue | Assists |
|---|---|---|---|
| 2026-04-30 | Minnesota Timberwolves | Away | 0 |
| 2026-04-27 | Minnesota Timberwolves | Home | 1 |
| 2026-04-20 | Minnesota Timberwolves | Home | 0 |
| 2026-04-18 | Minnesota Timberwolves | Home | 0 |
| 2026-04-12 | San Antonio Spurs | Away | 4 |
| 2026-04-10 | Oklahoma City Thunder | Home | 4 |
| 2026-04-08 | Memphis Grizzlies | Home | 0 |
| 2026-04-06 | Portland Trail Blazers | Home | 1 |
| 2026-04-04 | San Antonio Spurs | Home | 0 |
| 2026-04-01 | Utah Jazz | Away | 0 |
Jonas Valančiūnas of the Denver Nuggets in assists, 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.
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