Broadcast tracking · no vest, no hardware
SkillCorner Data
SkillCorner derives every athlete's movement from the game broadcast, so game-day external load exists even when nobody wore a KINEXON vest. SkillCorner's Furman delivery — Furman Men's Basketball tracked in NCAA Division I games. This delivery covers NCAA Division I / 2025-2026, 2 games, 34 tracked player-games — aggregated straight from their per-possession physical feed. Distances are in feet, speeds in ft/s, per SkillCorner's definitions workbook.
Fills the game-day gap
Vests are practice-only for most programs and banned in some conference games. SkillCorner covers every televised game, so the Nsites Index no longer drops external load on game days.
Adds context wearables can't
Load is tagged to possession, offense/defense and court region — so a heavy night can be read as transition running versus defensive closeouts, not just a single number.
Pairs with recovery
Overlay per-quarter load decline against the Oura sleep and HRV already in the platform to see which athletes fade late and whether recovery explains it.
How to Use This Data to Maximize Output
SkillCorner turns every televised game into quantified movement context. The suggestions below are how the Nsites team recommends Furman apply this feed once SoCon coverage is active — protecting athletes while sharpening preparation. Each card is drillable: click it to see the actual sample numbers, athlete by athlete, for Furman in Connecticut vs Furman.
In short, SkillCorner lets Furman match preparation to demand. The Nsites platform combines that game-day context with the Oura, Polar, and KINEXON data already connected for each athlete — one place to decide who is ready, who needs protection, and whether practice is producing the right movement habits.
Complementing What Furman Already Reviews
Furman's current wall is outcome analytics — program ranking, box score, Ball in Air, player efficiency, BPR improvement. Every one of those measures what happened. SkillCorner measures how it was physically produced, on the same possessions, from the same broadcast. Click any card to see the actual screen alongside its SkillCorner equivalent.
Correlation, in practice: box score minutes ↔ live minutes and load per live minute; Ball in Air possessions ↔ possession-level sprint, acceleration and closeout effort; player efficiency ↔ physical cost and late-game decline; BPR improvement ↔ season-over-season speed and repeat-effort change; program ranking ↔ the running profile that produces it.
Sample Games
Furman — Game Physical Output
Speed-Zone Distance
Distance split into SkillCorner's three bands — walk/jog (<8 ft/s), cruise (8-14) and sprint (>14). Two athletes with identical totals can have very different sprint exposure, which is the part that drives soft-tissue risk. Click any band to drill into that athlete's zone detail and game-over-game trend.
Within-Game Fatigue
Mechanical load per live minute by quarter. A falling line means the athlete is producing less work per minute late — the signal to cross-check against last night's sleep and HRV.
Offense vs defense load
Every chance is tagged by possession side, so you can see who is carrying the defensive workload.
Workrate profile
Load per minute against peak speed; bubble size is sprint distance. Top-right are the high-output athletes, bottom-right are pure speed with low mechanical work.
Player Physical Table
Click any athlete row for their full profile, quarter-by-quarter fatigue curve and game-over-game trend.
| #12 Tom House | 36.2 | 13,049 | 1,391 | 22.9 | 11,518 | 318.6 | 3,626 / 3,571 | 173.6 | 52% | 94 |
| #10 Alex Wilkins | 35.3 | 11,571 | 1,273 | 23.4 | 10,072 | 285.3 | 3,327 / 3,327 | 147.0 | 54% | 62 |
| #21 Cooper Bowser | 31.3 | 9,754 | 1,345 | 21.1 | 7,966 | 254.6 | 2,711 / 2,678 | 80.9 | 56% | 12 |
| #2 Eddrin Bronson | 18.4 | 7,246 | 1,133 | 24.2 | 6,102 | 332.5 | 1,962 / 1,975 | 105.4 | 51% | 97 |
| #4 Ben Vander Wal | 19.5 | 6,737 | 1,031 | 22.6 | 5,504 | 282.9 | 1,838 / 1,836 | 85.3 | 51% | 59 |
| #6 Cole Bowser | 17.4 | 5,847 | 973 | 21.7 | 4,820 | 277.4 | 1,599 / 1,583 | 65.4 | 55% | 47 |
| #3 Asa Thomas | 17.5 | 5,715 | 719 | 18.6 | 4,564 | 261.2 | 1,588 / 1,551 | 62.2 | 55% | 21 |
| #1 Charles Johnston | 16.6 | 5,236 | 918 | 21.9 | 4,341 | 261.3 | 1,468 / 1,476 | 55.4 | 47% | 24 |
| #0 Abijah Franklin | 6.9 | 2,467 | 511 | 21.4 | 2,027 | 295.7 | 685 / 673 | 32.1 | 58% | 74 |
Possession & Shot Context
Team possession profile
Connecticut
- Possessions
- 65
- Points / poss
- 1.26
- Shots (3PA)
- 69 (25)
- Paint chances
- 47 of 93
- Drives
- 28
- Ball screens
- 57
- Turnovers
- 9
Furman
- Possessions
- 65
- Points / poss
- 1.09
- Shots (3PA)
- 56 (25)
- Paint chances
- 30 of 77
- Drives
- 21
- Ball screens
- 31
- Turnovers
- 11
Possession counts let you convert raw load into load per possession — the honest way to compare a fast game against a grinding one.
Shot regions (both teams)
How This Maps Into Nsites
| SkillCorner field | Nsites metric | Unit | What it adds |
|---|---|---|---|
| distance | Total distance (KINEXON) | ft | Game-day distance with no vest required — fills the gap on road games and non-instrumented venues. |
| distanceFast | High-speed running | ft above 14 ft/s | Sprint volume by chance, so you can separate transition running from half-court work. |
| maxSpeed | Top speed | ft/s | Peak speed per game; a drop against an athlete's own season max is an early fatigue or soft-tissue flag. |
| totalLoad | Player load | arb. | Time-integrated horizontal acceleration — the direct SkillCorner analogue of vest player load. |
| loadAccelerating / loadDecelerating | Accelerations / decelerations | arb. | Splits mechanical work into braking versus driving load, which is what shows up in knee and hip complaints. |
| timeHighAcceleration / timeHighDeceleration | Accel / decel counts | s above 8 ft/s² | Exposure to the highest-intensity band, the part of load that best predicts next-day soreness. |
| accPower | New — mechanical power | arb. | Integral of speed × acceleration. No wearable in the stack reports it; it separates fast players from powerful ones. |
| offense flag per chance | New — offense/defense split | % | Every load metric splits by possession side, so you can see who is paying the defensive tax. |
Play-by-play feed also in the sample
Click any chip to see that stream's per-game trend and possession context. Beyond physical output, each game ships tagged picks, drives, closeouts, isolations, post-ups, matchups and full 25 fps tracking — the raw material for tactical load (how many closeouts a wing defended) and for matchup-level reports next to the existing box-score analytics.
These are SkillCorner's own sample games from a European league, shown exactly as delivered — no Furman athlete data is inferred from them. Once a SkillCorner subscription covers SoCon games, the same feed maps onto the Furman roster through the Import Center or the API and populates game-day external load directly.