Colston Loveland
TE
- Game
- 2026 wk 4
- Total
- 43.5
- Implied team total
- 23.5
- Depth
- #1
- Recent snaps
- 80%
22 yrs · 6′6″, 241 lb · Michigan · 2025 rd 1 pk 10
Projections
| Market | Projection | Likely range | Fair odds | Evidence |
|---|---|---|---|---|
| Receiving | ||||
| Receiving yards | 38.2 | 6.6 – 82.9 | – | Solid |
| Receptions | 3.9 | 0.0 – 5.8 | – | Solid |
| Longest reception | 19.5 | 8.0 – 40.0 | – | Solid |
| Rush + rec yards | 37.0 | 5.8 – 81.4 | – | Solid |
| Touchdowns | ||||
| Anytime TD | 20.0% | no range | +400 | Solid |
| First TD scorer | 5.1% | no range | +1875 | Solid |
Form
| Window | GP | Tgt | Rec | Rec yd | Rec TD | Tgt share | WOPR | RZ tgt | Snap% | PPR |
|---|---|---|---|---|---|---|---|---|---|---|
| Last 3 | 3 | 3.0 | 1.7 | 11.3 | 0.00 | 10% | 0.19 | 1.00 | 84% | 2.8 |
| Last 5 | 5 | 6.8 | 3.4 | 45.4 | 0.00 | 17% | 0.37 | 1.75 | 80% | 8.3 |
| Last 10 | 10 | 7.2 | 4.4 | 53.4 | 0.30 | 21% | 0.45 | 1.67 | 78% | 11.7 |
| 2026 season | 3 | 3.0 | 1.7 | 11.3 | 0.00 | 10% | 0.19 | 1.00 | 84% | 2.8 |
Per-game averages over completed games, newest first. Windows match the rolling features the models are trained on.
Career by season · totals
| Window | GP | Tgt | Rec | Rec yd | Rec TD | Tgt share | WOPR | RZ tgt | Snap% | PPR |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 3 | 9 | 5 | 34 | 0 | 10% | 1 | 3 | 84% | 8 |
| 2025 | 16 | 82 | 58 | 713 | 6 | 17% | 6 | 15 | 65% | 165 |
Per-game averages over completed games, newest first. Windows match the rolling features the models are trained on.
Injury history
1 injury entry across 1 season · most often hip
Model track record
out-of-sample, 2019 onwards| Market | Graded | In band | Avg miss | vs form |
|---|---|---|---|---|
| Receptions | 18 | 78% | 1.4 | +0.2 |
| Receiving yards | 18 | 78% | 23.6 | +5.3 |
| Rush + rec yards | 18 | 78% | 25.7 | +3.1 |
| Anytime TD | 18 | 19% vs 28% | 0.3 | +0.0 |
| First TD scorer | 18 | 4% vs 0% | 0.0 | -0.0 |
| Longest reception | 17 | 82% | 8.5 | +2.9 |
Out-of-sample: each prediction came from a model trained only on earlier seasons. In band should sit near 80% where a band exists — that is the calibration claim, checkable here. It is tinted only when it strays further than sampling noise explains, which for one player is roughly ±7 points. vs form is how much closer the model landed than guessing his recent average. This grades the model against RESULTS, not against a betting line.
Last 10 games
| Game | Opp | Snap% | Tgt | Rec | RecYd | Car | RushYd | PassYd | TD |
|---|---|---|---|---|---|---|---|---|---|
| 2026 wk 3 |  PHI | 79% | 4 | 4 | 31 | 0 | 0 | 0 | 0 |
| 2026 wk 2 |  MIN | 86% | 3 | 1 | 3 | 0 | 0 | 0 | 0 |
| 2026 wk 1 |  CAR | 87% | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2025 wk 20 |  LA | 65% | 10 | 4 | 56 | 0 | 0 | 0 | 0 |
| 2025 wk 19 |  GB | 81% | 15 | 8 | 137 | 0 | 0 | 0 | 0 |
| 2025 wk 18 |  DET | 91% | 13 | 10 | 91 | 0 | 0 | 0 | 1 |
| 2025 wk 17 |  SF | 82% | 10 | 6 | 94 | 0 | 0 | 0 | 1 |
| 2025 wk 16 | GB | 83% | 5 | 3 | 30 | 0 | 0 | 0 | 0 |
| 2025 wk 15 |  CLE | 65% | 5 | 4 | 63 | 1 | -2 | 0 | 0 |
| 2025 wk 14 | GB | 59% | 5 | 4 | 29 | 0 | 0 | 0 | 1 |