# AI Sports Predictor (@NeoStatsAI) on x

- id: koinon:creator:x_neostatsai
- url: https://koinonlink.com/kol/x/NeoStatsAI
- schema_version: 1.4

## Identity
- platform: x
- handle: NeoStatsAI
- platform_url: https://twitter.com/NeoStatsAI
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1174
- following: 32
- posts_total: 5256
- posts_observed: 224
- posts_per_day: 2.889
- account_age_days: 1819
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.01533
- best_post_interactions: 18
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: gaming
- subcategory: igaming
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: AI-powered sports betting picks, Tennis betting strategy, Daily value and parlay optimization, Odds comparison and market mispricing, Confidence scoring for betting selections, Risk management in sports betting
- bio: 🤖 AI-powered sports picks
📈 Daily bets for NBA, NFL, NHL, MLB & Soccer
🎯 Value, data & market reads
👇 Best odds

## Audience (inferred)
- status: present
- description: Sports bettors using AI-driven picks for tennis, primarily focused on daily value bets and parlay strategies with a data-oriented approach
- roles: ads
- seniority: practitioner
- pain_points: Struggling to find consistent value in tennis betting lines despite analyzing odds and player form, Finding it hard to balance risk and reward when building parlays without reliable confidence scoring, Overwhelmed by noise in live betting markets and unable to filter out high-variance traps, Lacking a systematic way to validate picks beyond gut feeling or popular opinion
- posts_analysed: 22
- confidence: 0.6

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 71
- authenticity_basis: engagement_observed
- credibility_score: 71
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_neostatsai#ecef0052] Final Card I Would Use🎾 TENNIS PICKS FOR TOMORROW — AUGUST 8, 2026 1. WTA Toronto — Jessica Pegula ML — 1.38 / -263 — 1u 2. ATP Montreal — Arthur Fils ML — 1.39 / -256 — 0.75u 3. WTA Toronto — Elina Svitolina ML — 1.67 / -149 — 0.50u Overall Grade: MODERATE/HIGH Strategy: Single (https://twitter.com/NeoStatsAI)
- [x_neostatsai#0cf9b0ed] 🎾 TENNIS PICKS FOR TOMORROW — AUGUST 8, 2026 ⭐ Best Bets 1. WTA Toronto — Jessica Pegula ML Odds: 1.38 / -263 Confidence: HIGH — 8.5/10 Suggested Stake: 1u Pegula is my safest selection. She defeated Kamilla Rakhimova 6–4, 6–0 in the previous round and won the final eight games 

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.6, freshness_days=21, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.6, freshness_days=21, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.6, freshness_days=21, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=110, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 77
- audience_updated_days_ago: 21

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_neostatsai
- Request removal: https://koinonlink.com/claim?k=x_neostatsai
- Terms: https://koinonlink.com/for-ai