Model Percentile Scorecard v10.3-alpha-sharp
Architecture and design assessment of the alpha pipeline — now the SOLE production picks model. June 2026 upgrades: a discrete negative-binomial run-distribution for MLB (replacing the normal approximation), First-Five-innings folded in as a built-in market, two-sided no-vig de-vig with pitcher-aware moneyline pricing, true closing-line CLV, and timeout/backoff hardening so a slow or rate-limited API can never stall a run. Ratings reflect system capabilities, not results.
Alpha Pick Performance
Live
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Capability Breakdown
Execution Architecture
98th
Fully deterministic JS pipeline computes all projections, edges, and Kelly sizing before the AI layer. Claude validates and writes narrative only — structurally cannot override math, add picks outside the candidate table, or increase units. Zero bypass paths.
Calibration Discipline
95th
v10.3 shrinkage calibration: every cover probability starts from the no-vig market price and earns only a fitted fraction of the model's claimed deviation (totals 0.30, spreads 0.35, moneylines 0.50 — fitted on 428 graded real picks, Mar–Jun 2026). Displayed EV is honest 3-15%, not marketing numbers. Quarter-Kelly sizing with 0.5u steps, EV > 3% calibrated floor, never worse than -250, moneyline dogs capped at +160. Every rule is enforced in code, not by prompt instruction.
Bankroll Management
92nd
4u daily exposure cap. 0.5u-3.0u range per pick. Drawdown detection triggers 25% Kelly reduction after 3+ consecutive losses. Parlay capped at 0.5u/day. Institutional bankroll management adapted for retail scale.
Edge Identification
90th
Cross-sport edge ranking via normalized z-scores. MLB cover probabilities now come from a discrete negative-binomial run-distribution (analytic convolution of each team's projected run rate) rather than a normal CDF on a point estimate — baseball scoring is discrete and right-skewed, so this correctly prices the 1-run / half-run mass on run lines and the push region on totals. NBA and NHL still use sport-specific total standard deviations (NBA 18.5, NHL 2.3 goals) pending their own discrete models. Edge discount curve compresses outlier edges (log compression above 1 std dev). Consensus-tightness and line-movement discounts shrink edges the market has already priced. The 3% calibrated EV floor filters noise indistinguishable from variance at -110.
Projection Engine
88th
Three-method ensemble: Elo-based power ratings, sport-specific efficiency models (pace-adjusted for basketball, shot-based for hockey), and PPG averaging. Injury impact model adjusts projections for star player absences. Back-to-back rest penalty (3% scoring reduction) applied for NBA/NHL. Home-court adjustment baked in. All computed deterministically in JS.
Speed to Market
88th
Automated daily at 9am ET via Netlify scheduled function; First-Five lines fold into the same card from a 10am ET pass. 15-minute background worker, now hardened with per-call timeouts + exponential backoff and a deterministic fallback so a slow or rate-limited API can never stall or block a run. Early generation maximizes closing-line-value runway. Picks are final once generated — no mid-day overrides. No human in the loop for generation or delivery.
Data Pipeline
87th
Five independent data sources: real-time odds (13 sportsbooks), ESPN stats + injuries, daily-updated Elo ratings, prediction market cross-reference (Kalshi + Polymarket), and real-time breaking news (X/Grok). Each source fails independently without taking down the pipeline.
Sport Coverage
88th
NBA, NHL, and MLB active, plus MLB First-Five-innings (F5) folded in as a built-in market — the one genuinely soft corner, EV-discounted ×0.5 and slot/size-capped until closing-line value validates it. NCAAB disabled (sub-50% real accuracy) and all 8 soccer leagues disabled — 38.5% real daily-run record, and the normal goal model is structurally wrong for draw-heavy soccer (a discrete distribution is the prerequisite to re-enable). Quality over quantity: the cross-sport mandate evaluates every game with available lines and selects the highest calibrated EV regardless of sport.
Market Selection
85th
Spreads, totals, moneyline, and puck lines evaluated across all sports. Market-specific edge thresholds per sport. Alternate spreads and totals attempted with automatic fallback to core markets based on API plan. System considers every available market type per game before selecting highest-edge option.
Prediction Market Cross-Ref
82nd
Type-aligned validation against Kalshi and Polymarket. Parses market titles to classify bet type (moneyline, spread, total) and only compares matching types — totals to totals, spreads to spreads. Multi-market aggregation weighted by volume and bid-ask quality. Proportional unit adjustments in 0.5u steps. Prevents false flags like comparing a moneyline market against a totals pick.
Self-Correction
90th
The feedback loop is closed as of v10.3. CLV tracked 3x daily (including a 3am ET overnight run that settles night games before the morning pipeline reads bankroll state), with 14-day CLV beat rates feeding Kelly multipliers per sport and market. Weekly self-optimization learns from the live alpha track record. Daily 10:30am QA pass audits every published pick's math and narrative. All calibration constants were re-fitted from real graded results — and stale parameters that real data contradicted (backtest-era sport multipliers) were removed rather than kept for tradition.
5-Source Data Pipeline
The Odds API
Real-time lines from 13 US/EU sportsbooks
ESPN API
Team stats, injuries, schedules
Internal Elo
Daily-updated ratings, splits, streaks
Kalshi + Polymarket
Prediction market cross-reference
X / Grok-3-mini
Real-time breaking news: injuries, lineup changes, weather alerts
Pipeline Architecture
1
Data Ingestion
Fetch real-time odds from 13 sportsbooks, team stats + injuries from ESPN, Elo ratings from internal store, prediction market prices from Kalshi/Polymarket, and breaking news via X/Grok.
Deterministic
2
Projection Engine
Three-method ensemble per game: Elo-based power ratings, sport-specific efficiency models (pace-adjusted basketball, shot-based hockey, run-based baseball), and PPG averaging. All computed in JavaScript — no AI involved.
Deterministic
3
Edge Computation
Compare model projections to consensus lines. Calculate spread, total, puck line, and moneyline edges — totals against their own (wider) standard deviations. Normalize across sports via z-scores. Apply sport-specific minimum edge thresholds (NBA 2.0 pts, NHL 0.4 goals, MLB 0.5 runs). Filter to calibrated EV > 3%. Consensus tightness, line movement, and market misalignment each discount edges the market has already captured.
Deterministic
4
Candidate Ranking
Rank all qualifying edges. Compute shrinkage-calibrated cover probabilities: no-vig market price plus a fitted fraction of the model's deviation (fitted on 428 graded real picks); legacy caps remain as guard rails only. Quarter-Kelly unit sizing scaled so calibrated EVs map cleanly across 0.5u-3.0u, with 0.5u step rounding. Top 15 candidates passed to validation.
Deterministic
5
AI Validation + Narrative
Claude receives pre-computed candidate table. Web searches for injury updates, lineup changes, weather. Selects top 3 picks from the table — can reject or reduce units but cannot override math, add picks outside the table, or increase sizing.
AI Layer
6
Enforcement + Delivery
JS enforces 4u daily exposure cap, 0.5u-3.0u per-pick range, drawdown detection (25% Kelly reduction after 3+ consecutive losses). Picks stored to Netlify Blobs, served via API. CLV captured 3x daily, results settled back into the store overnight, and a 10:30am QA function audits the published card.
Automated
Design Principles
Math in code, not in prompts: Every projection, edge, and unit size is computed deterministically in JavaScript. Same inputs always produce the same outputs.
AI validates, never overrides: Claude receives a pre-ranked candidate table and can only select, reject, or reduce — structurally cannot inflate sizing or fabricate lines.
Cross-sport by default: Every game with available lines is evaluated. The system picks the highest calibrated EV across all active leagues, not the most popular sport.
Fail gracefully: Each data source is independent. ESPN down? Elo ratings and odds still produce picks. Prediction markets unavailable? Pipeline continues without that signal.
Caps enforced in code: Cover probability caps, Kelly clamps, daily exposure limits, and minimum edges are all hard-coded — not prompt instructions that can be ignored.
Profitability Roadmap
Shrinkage calibration: SHIPPED (v10.3) Cover probabilities anchored to the no-vig market price, earning only a fitted fraction of the model's claimed deviation. Fitted on 428 graded real daily-run picks — displayed EV and win probabilities are now honest numbers.
Market-correct deviations: SHIPPED (v10.3) Totals use full-game total standard deviations (NBA 18.5, NHL 2.3, MLB 4.3) instead of margin deviations, removing a 40-50% systematic overstatement of total edges.
CLV feedback loop: SHIPPED Closing line value tracked 3x daily (with overnight settlement); 14-day beat rates per sport and market feed Kelly multipliers automatically.
Weekly self-optimization: SHIPPED Sunday cycle learns from the live alpha track record: sport, market, and grade-level accuracy adjust parameters with conservative caps and mean reversion.
Real-data pruning: SHIPPED (v10.3) Soccer disabled (38.5% real win rate across 6 leagues), moneyline dogs capped at +160 (6-14 real record beyond it), and backtest-era sport multipliers removed after real results contradicted them.
Edge discount curve: SHIPPED Log compression on edges above 1 standard deviation prevents oversizing on inflated projections. Live since v10.0.
PM type-aligned cross-ref: SHIPPED Prediction market signals parsed by bet type, multi-market aggregated, and proportionally weighted. Eliminates false flags from mismatched market comparisons.
MLB projection engine upgrade: Starter FIP instead of raw ERA, park factors, bullpen fatigue, and platoon splits — the highest-leverage summer improvement now that MLB carries the slate.
Poisson soccer engine: Discrete goal distribution replaces the normal approximation. Live in the 8am MVP test pipeline; soccer returns to the alpha card only if it proves an edge there.
Daily Operating Cost
The Odds API
~91 calls/day across 13 sports, 2x daily runs + CLV
$3.30
Claude API (Sonnet)
~137K output tokens + web search validation, 5 daily function calls
$3.50
xAI / Grok-3-mini
Breaking news alerts, narrative assist
$0.15
ESPN API
Team stats, injuries, schedules — public API
Free
Kalshi + Polymarket
Prediction market data — public APIs
Free
Netlify (Hosting + Functions + Blobs)
Scheduled functions, blob storage, CDN — free tier
Free
Twilio SMS
On-demand only, not scheduled
~$0
Daily Total
~$6.95
Monthly Total
~$208
5 independent data sources. Fully automated: 8am MVP test run, 9am alpha card, 3x daily CLV tracking, daily QA audit, weekly self-optimization. Full institutional-grade pipeline at retail cost.