ShotQuality
What It Is, Traction & What Would Have To Be True
ShotQuality is a basketball-rooted sports-analytics company that has become, more importantly, a B2B sports-data extraction business. Its core asset is proprietary AI/computer-vision technology that turns raw video feeds into granular player-tracking data and predictive shot models — the “shot quality” metric (expected value of every shot). It sells that data to sportsbooks, media and syndicates, and also runs a B2C bettor tool (ShotQuality Bets). It is now extending the same computer-vision engine from basketball into American football.
What Would Have To Be True (to ENGAGE)
- ▮Confirmed capitalisation: resolution of the funding ambiguity — evidence of a real institutional round and runway to scale against far larger data incumbents.
- ▮Platform extensibility proven: the football (“Drive Quality”) expansion gaining real traction — proof the computer-vision engine is a multi-sport platform, not a basketball point-solution.
- ▮Durable B2B logos: the DraftKings/Kambi-type relationships deepening into multi-year, integrated, hard-to-displace contracts (and prediction-market venues as new buyers).
- ▮Defensible vs the majors: evidence the specialist data/dataset moat holds against Sportradar/Genius/Second Spectrum-class players with more resources and broader coverage.
Assessment: the strongest of the recent bettor-adjacent screens by a distance — real proprietary tech, real B2B revenue, in the data “arms-dealer” lane that wins regardless of which operator or prediction-market venue prevails. What holds it just below ENGAGE is scale, incumbent competition, and an unconfirmed funding base.
Weighted Screen, Legend & Action Band
Weighted against the six-criterion rubric. Cells left-aligned; ball + label; risk-resolved inverted (higher = fewer unresolved risks). Calibration note: scores reflect what is visible; the funding gap is treated as a diligence item, not a penalty.
| Criterion | Weight | Rating | Rationale |
|---|---|---|---|
| Differentiation / product | 20% | ◕ STRONG (3) | Genuinely proprietary computer-vision data extraction + a recognised “shot quality” metric; multi-sport extension underway. Real technical differentiation vs black-box bettor apps — though it overlaps the majors’ tracking capabilities. |
| Sector fit | 20% | ◕ STRONG (3) | Squarely in-thesis: B2B sports data sold to sportsbooks (DraftKings, Kambi) — the data arms-dealer lane that wins regardless of operator/PM outcomes. Basketball-niche but extensible. |
| Traction / validation | 16% | ◕ STRONG (3) | Real commercial validation: blue-chip B2B customers/partners and ~$2.1m estimated revenue (unverified). Materially ahead of pre-revenue or pure-community peers. |
| Founder / team | 12% | ◑ MODERATE (2) | Competent founder who scaled a passion project to a real business; ~25-person team; CRO hire signals commercial intent. Not a marquee/proven team — solid, not exceptional. |
| Moat | 16% | ◑ MODERATE (2) | Proprietary CV tech + accumulated dataset (50M+ points) + customer integration give a real specialist moat — but well-funded incumbents (Sportradar, Genius, Second Spectrum) have more resources and broader coverage. |
| Risk resolved (inverted) | 16% | ◑ MODERATE (2) | Moderate, not fatal: conflicting funding picture, small scale vs giants, basketball concentration (mitigated by football), and the commoditised B2C side. No affirmative integrity, regulatory or model-breaking flaw. |
| WEIGHTED FIT SCORE | 100% | 2.56 / 4.0 | Action band → MONITOR (upper) |
MONITOR — 2.56 / 4.0, upper tier, near-engage. Three Strong criteria (differentiation, sector fit, traction) carry it; two Moderate moat/team scores and a Moderate risk score (scale + incumbents + funding ambiguity) hold it ~0.2 short of ENGAGE. A confirmed round or a scale/extensibility proof point flips it.
Landscape & Moat Stress-Test
ShotQuality straddles two competitive sets: the B2B sports-data majors (its real battleground) and the B2C bettor-tools field.
| Player | Lane | Scale | Read vs ShotQuality |
|---|---|---|---|
| ShotQuality | CV data + B2C tool (basketball→NFL) | ~$2.1m est. rev; ~25 staff | specialist depth; small but real customers |
| Sportradar / Genius | broad official data + tracking | listed, $bns | giants; broader coverage, more resources |
| Second Spectrum / Hawk-Eye / Stats Perform | optical tracking | owned by majors | deep-pocketed CV tracking incumbents |
| nVenue / Kero / Huddle | micro-betting predictions/data | seed-stage | adjacent; Huddle is a partner, not just a rival |
| Swish / Outlier / PlayerProps.ai | B2C bettor tools | seed/bootstrapped | the commoditised consumer field SQ’s B2C side sits in |
Moat Stress-Test
- ▮What is defensible? The accumulated proprietary dataset (50M+ points, 20k+ games) and the CV extraction pipeline, plus integration into customer (sportsbook) workflows — real switching costs once embedded.
- ▮What breaks it? A major (Sportradar/Genius/Second Spectrum) deciding basketball shot-quality is worth owning and out-resourcing the niche; or customer concentration if a marquee logo churns.
- ▮Extensibility is the swing. If the CV engine genuinely ports to football (Drive Quality) and beyond, ShotQuality is a multi-sport data platform; if it stays basketball-bound, it is a niche point-solution capped in TAM.
- ▮Arms-dealer logic + exit: like Sportradar/Genius, SQ sells data to all operators and could sell to prediction-market venues — and the data-tooling consolidation (OddsJam→Gambling.com; Simplebet→DraftKings) shows strategic buyers acquire exactly this.
Known vs Unknown
Observable vs diligence-dependent (absence of data = diligence item, not a mark against).
| Known (observable) | Unknown (diligence) |
|---|---|
| CV data-extraction tech; 50M+ points, 20k+ games, 15+ leagues | Model accuracy/edge vs majors; proprietary-data defensibility |
| B2B customers/partners: DraftKings, Kambi, RotoGrinders, Huddle, Field Vision | Contract terms, revenue concentration, retention |
| Founder Simon Gerszberg; ~25 staff; CRO hire | Cap table, governance, equity, key-person dependence |
| Funding CONFLICTING (~$4.87m CBInsights vs none elsewhere) | Actual capitalisation, runway, last round terms/valuation |
| Revenue ~$2.1m / valuation ~$6.9m (third-party ESTIMATES) | Audited financials, margins, growth rate, burn |
| Football (Drive Quality) expansion underway | Whether the CV engine truly generalises beyond basketball |
Strengths, Concerns & Verdict
VERDICT: MONITOR (2.56 / 4.0) — upper tier, a modest notch down from the prior ENGAGE, reconciled to the math. ShotQuality is the most investable of the recent bettor-adjacent screens: real proprietary tech, real B2B revenue, the right lane. It misses a clean ENGAGE only on scale, incumbent competition, and an unconfirmed funding base — not on any affirmative flaw. It clusters just below the B2B-data ENGAGE names (nVenue 3.04, ALT 2.88, Kero 2.76) and clearly above the consumer bettor-tools. Flip to ENGAGE on: a confirmed institutional round + runway; the football (Drive Quality) expansion gaining traction (multi-sport platform proof); or deepening, multi-year B2B contracts incl. prediction-market venues. Flip to PASS on: evidence of churning marquee logos or an inability to fund against the majors. For now: track closely — this is the near-engage name to re-underwrite the moment funding clarifies.
SOURCES & FLAGS. Profile from PitchBook, CBInsights, prospeo, BetSmart review, company LinkedIn/site and Colgate accelerator blog (2021–2026). Founder Simon Gerszberg; HQ Larchmont/Mamaroneck, NY; ~20–25 employees; founded ~2020 (PitchBook; CBInsights lists 2022 — CONFLICTING). Tech/traction: 50M+ data points, 20k+ games, 15+ leagues; B2B customers/partners DraftKings, Kambi, RotoGrinders, Huddle, Field Vision (company/press, self-reported). FUNDING CONFLICTING: CBInsights ~$4.87m (Seed); prospeo “no funding”; PitchBook private, no disclosed valuation — UNCONFIRMED, key diligence item. Revenue ~$2.1m and valuation ~$6.9m are THIRD-PARTY ESTIMATES (prospeo), order-of-magnitude, not audited — do not treat as fact. Competitor scale figures are illustrative. All fit scores are OUR assessment against the fund rubric; no valuation expressed (early-stage screen). Verdict revised from prior ENGAGE to upper-MONITOR on fresh evidence.
DISCLAIMER. Internal screening note for informational purposes; not investment advice, an offer, or a solicitation.
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