Buffalo at Akron
A pregame research note built from the stored 2026–27 forecast, its stored factors and the questions still waiting for film or roster confirmation.
Forecast edition basketball-efficiency-v2-ab7f181f3f19 · captured Sep 23, 2026
Buffalo 71.3 · Akron 87.6
Primary preseason estimate from the published efficiency model. The range describes held-out model error, not a promise about the final score.
What this game analysis uses.
Read the forecast, historical workload, shot map and roster signals in separate columns. A model edition identifies the registered estimate; an internal receipt identifies the retained data edition. Missing or mismatched evidence stays visible as unavailable.
| Evidence | Coverage attached to this game | Edition / receipt | Captured / reviewed | How to learn from it |
|---|---|---|---|---|
| Published game scheduleUnavailable | Start time unconfirmed | Unavailable | — | The forecast remains available, but market checks stay withheld until the start is confirmed. Keep the canonical date separate from a confirmed source clock. |
| Forecast editionRegistered edition | basketball-efficiency-v2-ab7f181f3f19 | basketball-efficiency-v2-ab7f181f3f19 | Sep 23, 2026 | Use this ID and capture clock when comparing the forecast with a later result. |
| Team + player archiveRegistered edition | 6 exact player profiles · two team profiles | 2026-09-23T03:50:32.300000Z | Sep 17, 2026 | Historical workload describes the old sample; it does not establish current availability. |
| Shot coordinate archiveVerified source release | 6 exact joins · 1,996 matched attempts · 1,990 located | 411d4ea11dba7d6688d717e26b3a6807640ae7f3b615b054a775e6f814d5c672 | Sep 5, 2026 | Located attempts are a subset of matched attempts; missing coordinates stay missing. |
| Recruiting releaseVerified source release | 0/2 exact programs · 0 people · 0 reviewed sources | 6534ecd70b2b87befb22c2a5781c8b53dd9069e57a668d0409687c9f60d28a06 | Sep 21, 2026 | A dated announcement is evidence of an event, not proof of eligibility or a projected role. |
| Roster observationVerified source release | 29 listed rows · 2027 snapshot | ecf68bc15c3cb083dafa996b55b522bb578de7bf1f7aa5f1d99a726059da4774 | Sep 17, 2026 | Roster status is an observed listing label; it is not a lineup or eligibility ruling. |
This table documents provenance and joins. It does not turn a source listing into an availability decision, and it does not add a second forecast to the stored model.
How the projected score is built.
This table reconstructs the stored ridge model from its published coefficient arrays. Each efficiency term is points per 100 possessions; the final score is efficiency × projected pace ÷ 100. It is an explanation of the estimate, not an additional forecast.
| Term | Buffalo | Akron |
|---|---|---|
| League baseline | 107.03 | 107.03 |
| Own offense effect | -2.23 | +7.95 |
| Opponent defense effect | -1.93 | +5.93 |
| Venue effect | -2.46 | +2.46 |
| Projected efficiency | 100.41 | 123.37 |
| Projected pace | 71.01 | 71.01 |
| Score from equation | 71.31 | 87.61 |
A neutral-site game has zero venue effect. A missing or edition-mismatched coefficient set suppresses this table rather than presenting stale arithmetic.
How much has this model missed?
These held-out results describe the forecast system behind this notebook. They are a calibration reference for the range, not a guarantee about this game and not evidence of a market edge.
Training seasons: 2023, 2024, 2025, 2026 · constant home-margin baseline MAE: 12.0 pts. The test season remains outside model fitting and calibration.
Turn the forecast into questions.
Read these in order before opening the deeper tables. Each row is arithmetic over the stored forecast, exact team ratings, matchup factors or matched roster scenario. It does not add a new model.
| Read | Finding | Stored evidence | Question to take to film |
|---|---|---|---|
| Step 1Start with the range | Akron stays ahead across the 80% margin range | Akron is the baseline side by 16.3 points; the stored home-margin range is +0.4 to +32.2. | What evidence would have to break for the other team to move outside this one-sided range? |
| Step 2Find the pressure point | Buffalo owns the largest stored factor edge | free-throw attempt rate · 5.4 percentage points toward Buffalo. | Which actions and lineups are creating that free-throw attempt rate edge, and does it hold against the expected rotation? |
| Step 3Check the possession count | 71.0 projected possessions | +1.4 versus the two teams’ 69.6-possession historical tempo midpoint. | Which team benefits if the game reaches that faster projected count, and how will it create the extra trips? |
| Step 4Test roster sensitivity | 2.1-point movement toward Buffalo | Baseline +16.3 home · roster lens +14.2 home. | Which source-listed players account for that movement, and is there dated evidence for their current availability and role? |
Missing rows mean the exact supporting record did not pass the notebook’s identity or numeric checks; absence is not scored as a neutral signal.
The numbers behind the estimate.
Latest completed-season team rates carried into this forecast edition. They describe the inputs and context; they are not a claim about a current lineup.
| Metric | Buffalo | Akron |
|---|---|---|
| Adj O | 104.8 | 115.0 |
| Adj D | 113.0 | 105.1 |
| NET | -8.2 | 9.9 |
| PACE | 69.2 | 70.1 |
| SOS | -3.5 | -1.8 |
| eFG% | 56.0% | 58.5% |
| TO% | 16.1% | 15.2% |
| ORB% | 27.8% | 33.9% |
| FTR | 39.4% | 27.9% |
What do the last five show?
Season and last-five observations come from the same retained team profiles. They are descriptive samples for film review; they are not a trend claim, a cause, or a replacement for the stored forecast baseline.
| Program / exact ID | Sample | Record | Pace | Offensive efficiency | Defensive efficiency | Effective FG% | Turnover rate | Offensive rebound rate | Free-throw attempt rate |
|---|---|---|---|---|---|---|---|---|---|
| BuffaloID 2084 | Season32 games | 17-15 | 67.4 | 114.9 | 112.2 | 56.0% | 16.1% | 27.8% | 39.4% |
| BuffaloID 2084 | Last five5 games | 1-4 | 69.0 | 108.6 | 119.7 | 53.6% | 16.2% | 26.9% | 32.2% |
| AkronID 2006 | Season35 games | 29-6 | 71.6 | 122.7 | 103.3 | 58.5% | 15.2% | 33.9% | 27.9% |
| AkronID 2006 | Last five5 games | 4-1 | 68.1 | 115.1 | 105.7 | 55.8% | 14.4% | 30.1% | 28.5% |
Scouting edition 2026-09-23T03:50:32.300000Z · model basketball-efficiency-v2-ab7f181f3f19 · captured Sep 17, 2026.
Who carried the old possessions?
The three highest-minute contributors in the latest completed season. These rows preserve recorded production for preparation; they are not a projected rotation or an availability decision.
What should the staff test first?
These role signals come from the same completed-season player records. Each question is attached to a recorded workload or rate field; missing denominators remain unavailable.
| Program / player | Recorded role signals | Film question |
|---|---|---|
| Ryan SabolBuffalo · G | Usage 25.7%Team minutes 89.8%A/TO 1.913PA 306.0 | How does the defense force this high-usage role into lower-value decisions? |
| Noah BatchelorBuffalo · G | Usage 11.1%Team minutes 76.4%A/TO 1.193PA 108.0 | How does the defense force this high-usage role into lower-value decisions? |
| Angelo BrizziBuffalo · G | Usage 24.2%Team minutes 74.0%A/TO 0.883PA 134.0 | How does the defense force this high-usage role into lower-value decisions? |
| Tavari JohnsonAkron · G | Usage 28.0%Team minutes 79.6%A/TO 2.053PA 201.0 | How does the defense force this high-usage role into lower-value decisions? |
| Evan MahaffeyAkron · G | Usage 16.4%Team minutes 71.4%A/TO 2.733PA 46.0 | How does the defense force this high-usage role into lower-value decisions? |
| Shammah ScottAkron · G | Usage 22.0%Team minutes 66.6%A/TO 2.463PA 197.0 | How does the defense force this high-usage role into lower-value decisions? |
Buffalo
| Player | MIN | MPG | PPG | APG | TS% |
|---|---|---|---|---|---|
| Ryan SabolG | 1,159 | 36.2 | 18.8 | 3.3 | 59.0% |
| Noah BatchelorG | 985 | 30.8 | 7.3 | 1.3 | 69.0% |
| Angelo BrizziG | 954 | 29.8 | 14.5 | 1.8 | 62.1% |
Akron
| Player | MIN | MPG | PPG | APG | TS% |
|---|---|---|---|---|---|
| Tavari JohnsonG | 1,115 | 31.9 | 19.7 | 5.0 | 61.6% |
| Evan MahaffeyG | 999 | 28.5 | 10.2 | 3.4 | 60.5% |
| Shammah ScottG | 933 | 26.7 | 12.9 | 2.9 | 59.1% |
Turn the factor edge into a film drill.
These links join the historical workload table to the retained national coordinate archive by exact player and team ID. The questions use recorded attempt denominators to choose film; they do not predict a current rotation or treat an archived shot map as availability.
| Program / player | Recorded shot evidence | Preparation question | Drill-down |
|---|---|---|---|
| Ryan SabolBuffalo · G | 448 matched attempts · 447 with retained coordinates · 32 gamesExact archive name | 65% of recorded attempts are threes. How will the defense change the closeout without giving up the next action? | View court map ↗ |
| Noah BatchelorBuffalo · G | 151 matched attempts · 151 with retained coordinates · 32 gamesExact archive name | 69% of recorded attempts are threes. How will the defense change the closeout without giving up the next action? | View court map ↗ |
| Angelo BrizziBuffalo · G | 291 matched attempts · 291 with retained coordinates · 32 gamesExact archive name | Where does the located sample cluster, and which coverage or transition rule should the staff test against those looks? | View court map ↗ |
| Tavari JohnsonAkron · G | 500 matched attempts · 497 with retained coordinates · 35 gamesExact archive name | Where does the located sample cluster, and which coverage or transition rule should the staff test against those looks? | View court map ↗ |
| Evan MahaffeyAkron · G | 252 matched attempts · 250 with retained coordinates · 35 gamesExact archive name | Where does the located sample cluster, and which coverage or transition rule should the staff test against those looks? | View court map ↗ |
| Shammah ScottAkron · G | 354 matched attempts · 354 with retained coordinates · 35 gamesExact archive name | 56% of recorded attempts are threes. How will the defense change the closeout without giving up the next action? | View court map ↗ |
Located coordinates are a subset of matched attempts; missing locations remain in the attempt denominator and are not imputed.
Who is listed today?
Exact-ID rows from the current roster snapshot, ordered by prior recorded minutes. Status is an observed listing label; it does not establish eligibility, availability, a commitment or a projected rotation.
| Program | Listed | Same program | Different program | New to dataset | Ambiguous / other | Prior stat profiles | Recorded prior minutes |
|---|---|---|---|---|---|---|---|
| BuffaloOpen exact roster observations → | 14 | 13 | 0 | 1 | 0 | 13 / 14 | 6,450 |
| AkronOpen exact roster observations → | 15 | 12 | 0 | 3 | 0 | 12 / 15 | 6,077 |
Same-program, different-program and new-to-dataset are exact retained roster observations. Recorded prior minutes sum only valid attached stat profiles; they do not establish current availability, eligibility or role.
Where is prior experience attached?
Source positions group each current listing as guard, forward, center or unreported. Minutes belong to retained prior-season stat profiles and stay separated by same-program, different-program and other observation status. They are context for film review, not a projected rotation.
| Program | Source role | Listed | Prior profiles | Prior minutes | Same-program minutes | Different-program minutes | Other-status minutes |
|---|---|---|---|---|---|---|---|
| Buffalo | Guard | 9 | 8 | 4,894 | 4,894 | 0 | 0 |
| Buffalo | Forward | 4 | 4 | 883 | 883 | 0 | 0 |
| Buffalo | Center | 1 | 1 | 673 | 673 | 0 | 0 |
| Buffalo | Unreported | 0 | 0 | 0 | 0 | 0 | 0 |
| Akron | Guard | 13 | 10 | 5,936 | 5,936 | 0 | 0 |
| Akron | Forward | 2 | 2 | 141 | 141 | 0 | 0 |
| Akron | Center | 0 | 0 | 0 | 0 | 0 | 0 |
| Akron | Unreported | 0 | 0 | 0 | 0 | 0 | 0 |
Roster season 2027 · receipt ecf68bc15c3cb083dafa996b55b522bb578de7bf1f7aa5f1d99a726059da4774 · captured Sep 17, 2026.
Buffalo
| Player | Status | MIN | MPG | PPG | TS% |
|---|---|---|---|---|---|
| Ryan SabolG | same program | 1,159 | 36.2 | 18.8 | 59.0% |
| Noah BatchelorG | same program | 985 | 30.8 | 7.3 | 69.0% |
| Angelo BrizziG | same program | 954 | 29.8 | 14.5 | 62.1% |
| Derrick Talton Jr.G | same program | 833 | 26.0 | 5.3 | 47.9% |
| Daniel FreitagG | same program | 764 | 33.2 | 19.8 | 58.5% |
| Tim ObohC | same program | 673 | 21.0 | 8.5 | 58.9% |
| Ezra McKennaF | same program | 515 | 16.1 | 5.0 | 64.9% |
| Mikhail PocknettF | same program | 324 | 14.1 | 3.9 | 53.2% |
Akron
| Player | Status | MIN | MPG | PPG | TS% |
|---|---|---|---|---|---|
| Tavari JohnsonG | same program | 1,115 | 31.9 | 19.7 | 61.6% |
| Evan MahaffeyG | same program | 999 | 28.5 | 10.2 | 60.5% |
| Shammah ScottG | same program | 933 | 26.7 | 12.9 | 59.1% |
| Eric MahaffeyG | same program | 746 | 21.9 | 7.8 | 62.4% |
| Sharron YoungG | same program | 651 | 19.1 | 7.2 | 55.3% |
| Bowen HardmanG | same program | 645 | 18.4 | 7.6 | 60.0% |
| Zach HalliganG | same program | 392 | 11.9 | 2.7 | 56.4% |
| Marvin Musiime-KamaliG | same program | 309 | 8.8 | 2.0 | 69.7% |
Variance belongs in the story.
The nominal home-margin range covers 31.8 points, so the forecast is a starting point for preparation rather than a script. Identify which lineup and shot-quality questions could move this game toward either edge.
Questions for the next check
- Which lineup combination gives the underdog its clearest path toward the top of the range?
- Can the projected favorite reproduce its best Four Factor possession against this opponent?
- Which current roster or availability source should be checked before publication?
Why the baseline leans.
| Factor | Home attack | Away defense | Away attack | Home defense | Edge |
|---|---|---|---|---|---|
| Shot quality | 54.4% | 54.1% | 51.1% | 50.9% | Home 0.1 pts |
| Ball security | 16.2% | 17.2% | 17.9% | 17.7% | Home 1.3 pts |
| Second chances | 31.6% | 31.2% | 27.2% | 28.8% | Home 2.1 pts |
| Free-throw pressure | 30.9% | 32.4% | 35.5% | 31.5% | Away 5.4 pts |
These are the stored matchup-factor estimates for this edition. They identify a film starting point; they do not establish a tactical result or a player availability decision.
Check the line beside this forecast.
The notebook refreshes the exact game and current forecast edition before showing any qualifying market comparison. A missing quote stays unavailable; no line or edge is inferred.
Checking the current forecast edition and its qualifying market observations…
Keep the evidence chain open.
- Confirm current availability and the expected rotation from a dated update.
- Use the roster and player archives to identify the personnel behind each factor.
- Read the interval before treating a close projection as a decisive edge.
Follow the record.
The schedule ID, model edition and captured forecast remain attached to this notebook. A missing market observation is unavailable evidence, not a zero.
No verified pregame market line is attached to this edition.