Towson at American
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
Towson 66.6 · American 65.0
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 | Canonical start only | Unavailable | — | No recorded source clock is attached; market checks stay withheld until timing evidence is available. 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 · 1,943 matched attempts · 1,934 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 | 34 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 | Towson | American |
|---|---|---|
| League baseline | 107.03 | 107.03 |
| Own offense effect | -1.89 | -2.70 |
| Opponent defense effect | +3.49 | -3.11 |
| Venue effect | -2.46 | +2.46 |
| Projected efficiency | 106.18 | 103.68 |
| Projected pace | 62.68 | 62.68 |
| Score from equation | 66.55 | 64.98 |
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 | Both teams remain inside the 80% margin range | Towson is the baseline side by 1.6 points; the stored home-margin range is -17.5 to +14.4. | Which early matchup signal would make you update away from the baseline? |
| Step 2Find the pressure point | Towson owns the largest stored factor edge | offensive rebound rate · 7.3 percentage points toward Towson. | Which actions and lineups are creating that offensive rebound rate edge, and does it hold against the expected rotation? |
| Step 3Check the possession count | 62.7 projected possessions | -2.8 versus the two teams’ 65.5-possession historical tempo midpoint. | Which team can keep the game near that lower projected count, and what stops transition opportunities? |
| Step 4Test roster sensitivity | 1.4-point movement toward Towson | Baseline -1.6 home · roster lens -2.9 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 | Towson | American |
|---|---|---|
| Adj O | 105.2 | 104.3 |
| Adj D | 103.9 | 110.5 |
| NET | 1.2 | -6.2 |
| PACE | 64.7 | 66.2 |
| SOS | -0.2 | -5.7 |
| eFG% | 47.7% | 52.6% |
| TO% | 15.9% | 15.7% |
| ORB% | 36.6% | 28.3% |
| FTR | 29.9% | 29.3% |
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 |
|---|---|---|---|---|---|---|---|---|---|
| TowsonID 119 | Season34 games | 19-15 | 64.6 | 106.7 | 101.9 | 47.7% | 15.9% | 36.6% | 29.9% |
| TowsonID 119 | Last five5 games | 4-1 | 60.4 | 116.3 | 102.1 | 50.5% | 13.9% | 40.0% | 29.5% |
| AmericanID 44 | Season32 games | 16-16 | 67.5 | 110.6 | 105.8 | 52.6% | 15.7% | 28.3% | 29.3% |
| AmericanID 44 | Last five5 games | 2-3 | 62.9 | 114.8 | 107.8 | 51.4% | 10.8% | 29.0% | 31.8% |
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 |
|---|---|---|
| Dylan WilliamsonTowson · G | Usage 23.8%Team minutes 89.5%A/TO 2.023PA 247.0 | How does the defense force this high-usage role into lower-value decisions? |
| Tyler TejadaTowson · G | Usage 26.2%Team minutes 88.5%A/TO 1.383PA 148.0 | How does the defense force this high-usage role into lower-value decisions? |
| Jack Doumbia Jr.Towson · F | Usage 28.0%Team minutes 59.5%A/TO 0.893PA 41.0 | How does the defense force this high-usage role into lower-value decisions? |
| Greg JonesAmerican · F | Usage 22.9%Team minutes 75.7%A/TO 1.353PA 111.0 | How does the defense force this high-usage role into lower-value decisions? |
| Matt MayockAmerican · F | Usage 15.0%Team minutes 71.9%A/TO 1.703PA 93.0 | How does the defense force this high-usage role into lower-value decisions? |
| Geoff SprouseAmerican · G | Usage 17.2%Team minutes 67.1%A/TO 2.143PA 195.0 | How does the defense force this high-usage role into lower-value decisions? |
Towson
| Player | MIN | MPG | PPG | APG | TS% |
|---|---|---|---|---|---|
| Dylan WilliamsonG | 1,221 | 35.9 | 14.6 | 3.4 | 48.8% |
| Tyler TejadaG | 1,137 | 35.5 | 17.7 | 2.3 | 54.2% |
| Jack Doumbia Jr.F | 765 | 23.9 | 10.7 | 1.8 | 49.1% |
American
| Player | MIN | MPG | PPG | APG | TS% |
|---|---|---|---|---|---|
| Greg JonesF | 969 | 30.3 | 12.5 | 2.0 | 52.9% |
| Matt MayockF | 892 | 28.8 | 8.5 | 1.6 | 58.0% |
| Geoff SprouseG | 859 | 26.8 | 9.2 | 1.9 | 58.0% |
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 |
|---|---|---|---|
| Dylan WilliamsonTowson · G | 484 matched attempts · 483 with retained coordinates · 34 gamesExact archive name | 51% of recorded attempts are threes. How will the defense change the closeout without giving up the next action? | View court map ↗ |
| Tyler TejadaTowson · G | 451 matched attempts · 449 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 ↗ |
| Jack Doumbia Jr.Towson · F | 285 matched attempts · 284 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 ↗ |
| Greg JonesAmerican · F | 294 matched attempts · 289 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 ↗ |
| Matt MayockAmerican · F | 197 matched attempts · 197 with retained coordinates · 31 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 ↗ |
| Geoff SprouseAmerican · G | 232 matched attempts · 232 with retained coordinates · 32 gamesExact archive name | 81% 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 |
|---|---|---|---|---|---|---|---|
| TowsonOpen exact roster observations → | 15 | 13 | 0 | 2 | 0 | 13 / 15 | 6,825 |
| AmericanOpen exact roster observations → | 19 | 13 | 0 | 6 | 0 | 13 / 19 | 6,400 |
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 |
|---|---|---|---|---|---|---|---|
| Towson | Guard | 9 | 8 | 4,172 | 4,172 | 0 | 0 |
| Towson | Forward | 5 | 4 | 2,159 | 2,159 | 0 | 0 |
| Towson | Center | 1 | 1 | 494 | 494 | 0 | 0 |
| Towson | Unreported | 0 | 0 | 0 | 0 | 0 | 0 |
| American | Guard | 10 | 7 | 3,182 | 3,182 | 0 | 0 |
| American | Forward | 9 | 6 | 3,218 | 3,218 | 0 | 0 |
| American | Center | 0 | 0 | 0 | 0 | 0 | 0 |
| American | Unreported | 0 | 0 | 0 | 0 | 0 | 0 |
Roster season 2027 · receipt ecf68bc15c3cb083dafa996b55b522bb578de7bf1f7aa5f1d99a726059da4774 · captured Sep 17, 2026.
Towson
| Player | Status | MIN | MPG | PPG | TS% |
|---|---|---|---|---|---|
| Dylan WilliamsonG | same program | 1,221 | 35.9 | 14.6 | 48.8% |
| Tyler TejadaG | same program | 1,137 | 35.5 | 17.7 | 54.2% |
| Jack Doumbia Jr.F | same program | 765 | 23.9 | 10.7 | 49.1% |
| Caleb EmbeyaF | same program | 703 | 20.7 | 3.6 | 53.4% |
| Tyler ColemanF | same program | 638 | 19.9 | 5.3 | 55.1% |
| Jaquan WomackG | same program | 617 | 19.3 | 7.1 | 47.4% |
| Mor SeckC | same program | 494 | 14.5 | 3.2 | 53.3% |
| Tyler SchmidtG | same program | 450 | 14.1 | 3.1 | 49.8% |
American
| Player | Status | MIN | MPG | PPG | TS% |
|---|---|---|---|---|---|
| Greg JonesF | same program | 969 | 30.3 | 12.5 | 52.9% |
| Matt MayockF | same program | 892 | 28.8 | 8.5 | 58.0% |
| Geoff SprouseG | same program | 859 | 26.8 | 9.2 | 58.0% |
| Julen IturbeF | same program | 827 | 25.8 | 10.5 | 57.8% |
| Wyatt NausadisG | same program | 729 | 22.8 | 7.8 | 54.5% |
| Madden CollinsG | same program | 697 | 21.8 | 13.4 | 56.8% |
| Kade SebastianG | same program | 693 | 21.7 | 5.7 | 61.1% |
| Chris EaganF | same program | 359 | 11.2 | 3.9 | 48.9% |
A one-possession question.
The model has American within 1.6 points of Towson; the nominal range spans -17.5 to 14.4. Start the preview with the late-game possessions the baseline cannot separate.
Questions for the next check
- Which team can create a clean look in the final four minutes?
- Which handler faces the most pressure when the pace slows?
- What dated availability or roster evidence could move this outside one possession?
Why the baseline leans.
| Factor | Home attack | Away defense | Away attack | Home defense | Edge |
|---|---|---|---|---|---|
| Shot quality | 51.6% | 49.9% | 48.3% | 53.5% | Home 6.9 pts |
| Ball security | 17.4% | 16.4% | 16.6% | 17.9% | Away 2.3 pts |
| Second chances | 26.5% | 28.1% | 35.2% | 29.5% | Away 7.3 pts |
| Free-throw pressure | 31.2% | 31.6% | 32.3% | 38.3% | Home 5.6 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.