Oklahoma City Thunder @ Toronto Raptors Picks and Predictions - February 24th 2026
7:30pm
For Oklahoma City Thunder (45-14) vs Toronto Raptors (34-24), the first check starts with last-five form and the rest gap because both can bend effort plays across four quarters. Those signals can show in late execution when rotations shorten and each trip matters.
This is a data-led matchup preview designed for fast reads and second-pass detail. The context stays focused while you judge how the game should play.
NBA odds and lines for Oklahoma City Thunder at Toronto Raptors
Oklahoma City Thunder enters this spot with a clean read on form: last-five ATS: 4-1-0, plus supporting context in average margin: 46. If you want a timely market check, the away hub at Oklahoma City Thunder betting odds is a solid place to start.
Home form often reads cleaner than the noise, and for Toronto Raptors the key markers are last-five over-under: 2-3-0 with a useful add-on in last-five ATS: 4-1-0. If you are checking the home side close to tip, Toronto Raptors betting odds is the best spot to keep the board current.
-118 
1.0 -110 -115 OKC at TOR Head-to-Head History
The last meeting provides a clean reference point: Thunder claimed 123-103, a 20 margin. Use the series rows below to see how that result slots into the broader head-to-head profile.
| Item | Value |
|---|---|
| Last meeting score | 123-103 |
| Last meeting winner | Thunder |
| Last meeting margin | 20 |
| Side | Meetings | Wins | Losses | Average margin | Total points | ATS record | Over/Under record |
|---|---|---|---|---|---|---|---|
| Away | 2 | 2 | 0 | 11.2 | 220.8 | 0-1-0 | 0-1-0 |
| Home | 2 | 0 | 2 | -11.2 | 220.8 | 1-0-0 | 0-1-0 |
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400% Extra: Deposit $10 Get $50 Oklahoma City Thunder at Toronto Raptors Scheduling Spot Breakdown (Days Rest, Miles, Time Zones)
Days since last game reads level (2 vs 2), which points the tiebreak to travel and last-7 pace. Oklahoma City Thunder is coming off the stronger previous opponent (62.1 vs 43.6), which can raise the standard for how repeatable the last result is.
On games in the last 7 days (2 vs 2), it is flat, so density is a lighter factor. The short-term mileage split favors Oklahoma City Thunder (1115.7 vs 430.9), and that tax can show up at tip and late. With more miles in the last 7 days (1299.55 vs 0), Toronto Raptors carries a overall travel load that becomes sharper when rest is thinner.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| Days since last game | 2 | 2 |
| Rest advantage vs opponent | 0 | 0 |
| Travel miles since last game | 1115.7 | 430.9 |
| Games in last 7 days | 2 | 2 |
| Time zone changes | 0 | 0 |
| Miles travelled last 7 days | 0 | 1299.55 |
| Schedule strength | 63.2 | 54.7 |
| Remaining schedule strength | 51.1 | 48.6 |
| Previous opponent strength (win %) | 62.1 | 43.6 |
| Next opponent strength (win %) | 59.6 | 75.9 |
Season Profile Comparison: Oklahoma City Thunder vs Toronto Raptors
This breakdown splits the season profile into four sections so the edges are easier to read. When the key stats in a category point the same way, that’s the cleaner lean; when they split, the game usually turns on which lever shows up more often.
Record & Scoring
Oklahoma City Thunder comes in ahead in win rate (75) and point margin (11.7), which is the cleanest scoring baseline in this section. If that holds, Oklahoma City Thunder can win even without perfect shot-making by avoiding long empty stretches.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| Record (W-L) | 45-14 | 34-24 |
| Win Percentage | 75 | 53.3 |
| Points For | 119.4 | 113.7 |
| Points Against | 107.7 | 111.8 |
| Points Margin | 11.7 | 1.9 |
Efficiency
Oklahoma City Thunder leads in shooting efficiency (111.3) and field goal efficiency (56.3), a combination that usually travels well. If the pace rises, that advantage can matter even more because efficient possessions convert before the game gets chaotic.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| Field Goal % | 0.7 | 0.7 |
| Three-Point % | 0.2 | 0.2 |
| Shooting Efficiency | 111.3 | 109 |
| Field Goal Efficiency | 56.3 | 53.7 |
| Free Throw Rate | 0.3 | 0.3 |
| Three-Point Rate | 0.4 | 0.4 |
| Free Throw % | 0.8 | 0.8 |
Tempo, Ratings & Turnovers
Net rating and ball security both lean toward Oklahoma City Thunder (11.8, 12.1 turnovers), which is a strong signal in this category. If Toronto Raptors wants to flip it, the first step is forcing mistakes and turning defense into quick points.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| Pace | 101.8 | 101.3 |
| Net Rating | 11.8 | 2 |
| Offensive Rating | 116.5 | 111.5 |
| Defensive Rating | 104.7 | 109.6 |
| Turnovers Per Game | 12.1 | 13.2 |
Rebounding, Ball Movement & Disruption
The two drivers split—Toronto Raptors on offensive boards (0.3), Oklahoma City Thunder on steals (9.8). In close games, the winner is usually the team that gets extra possessions without giving them right back.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| Rebounds Per Game | 43.8 | 42.9 |
| Offensive Rebounds | 0.2 | 0.3 |
| Defensive Rebounds | 0.7 | 0.7 |
| Assists Per Game | 25.6 | 29.3 |
| Assist Rate | 59.3 | 69.5 |
| Steals Per Game | 9.8 | 8.7 |
| Blocks Per Game | 5.6 | 4.9 |
For a quick check, use live NBA odds to track updated numbers. A clean refresh can flag the latest movement.
Oklahoma City Thunder vs Toronto Raptors Advanced Betting Trends: ATS and Totals
Oklahoma City Thunder is at 50% ATS and Toronto Raptors is at 50%. On totals, Over % sits at 50% for Oklahoma City Thunder and 40% for Toronto Raptors. If the pace spikes, the higher Over % side is better suited to keep the scoreboard moving.
| Metric | Oklahoma City Thunder | Toronto Raptors |
|---|---|---|
| ATS W-L-P | 29-28-1 | 30-27-0 |
| ATS Win % | 50% | 50% |
| Home ATS Wins | 15 | 12 |
| Away ATS Wins | 14 | 18 |
| ATS as Favorite | 28-28-0 | 16-18-0 |
| ATS as Underdog | 1-0-1 | 14-9-0 |
| Over Wins | 31 | 23 |
| Under Wins | 27 | 34 |
| Over % | 50% | 40% |
Oklahoma City Thunder at Toronto Raptors Key Players by Usage%: Top 3 Per Team
The primary usage workload in this matchup sits with Shai Gilgeous-Alexander (Oklahoma City Thunder), and the table below links that to production and efficiency. Their quick summary: Min 33, Usage% 33.7, 31.8 PPG, 4.4 RPG, 6.4 APG, TS% 67, eFG% 59.9, +/- 11.2, and TO/G 2.1.
Oklahoma City Thunder features Shai Gilgeous-Alexander (33.7), Nikola Topić (27), and Jalen Williams (26.5), and Toronto Raptors features Brandon Ingram (27.4), RJ Barrett (25.6), and Scottie Barnes (24.3), and this list highlights where the first reads come from. A more concentrated top line usually means heavier on-ball responsibility for the primary option, while a balanced top three can signal more shared creation and easier rotation coverage if one piece is limited.
For a brief peek at the award market, see the current MVP board. Start with our MVP odds NBA and sort the names.
| Team | Player | Min | Usage% | PPG | RPG | APG | TS% | eFG% | +/- | TO/G |
|---|---|---|---|---|---|---|---|---|---|---|
| Oklahoma City Thunder | Shai Gilgeous-Alexander | 33 | 33.7 | 31.8 | 4.4 | 6.4 | 67 | 59.9 | 11.2 | 2.1 |
| Oklahoma City Thunder | Nikola Topić | 9 | 27 | 4 | 1.5 | 1.5 | 61.5 | 61.5 | 2.5 | 2.5 |
| Oklahoma City Thunder | Jalen Williams | 29 | 26.5 | 17.5 | 4.7 | 5.4 | 55.5 | 50.7 | 5.4 | 1.9 |
| Toronto Raptors | Brandon Ingram | 34 | 27.4 | 21.9 | 5.7 | 3.8 | 56.8 | 52.5 | 0.8 | 2.5 |
| Toronto Raptors | RJ Barrett | 29 | 25.6 | 18.1 | 5.4 | 3.6 | 57.2 | 53.6 | 2.1 | 1.7 |
| Toronto Raptors | Scottie Barnes | 34 | 24.3 | 19.1 | 8.3 | 5.6 | 57.2 | 52.9 | 3.1 | 2.7 |
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- Game script (pace): Oklahoma City Thunder can try to push the pace, but Toronto Raptors is more comfortable if it can slow trips into half-court reads. The early rhythm signal usually tracks the total direction.
- Efficiency edge (side): Over the larger sample, it leans to Oklahoma City Thunder when possessions remain cleaner and the glass is controlled. Those extra chances can swing the margin.
- Late filters (availability + market): Availability and schedule context are the final filter, and they can change who handles closing possessions and what shots show up late. If the market moves, take it as a prompt to confirm the inputs instead of forcing the first read.
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