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Level UP vs. Zero Tenacity

Sports Β· Kalshi Β· Called NO, verified WIN Β· Jul 22, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Zero Tenacity will NOT win (NO @ 42%).
Result: Zero Tenacity did not win. The call was correct.
Analyzed: Jul 22, 2026, 4:02 PM UTC
Market resolved: Jul 22, 2026, 9:35 PM UTC
Called 6h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxdota2game/dota-2-game/kxdota2game-26jul221200lvlupz10

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.7s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Level UP vs. Zero Tenacity πŸ“… Date: 2026-07-22T16:00:00.000Z πŸ’° Volume: $649 Current Odds: β€’ Level UP: 59% β€’ Zero Tenacity: 42%4.4s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Situational Factors Β· PillarScore Β· Handle Split (Public vs Sharp) Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)15.0s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Level UP vs. Zero Tenacity

Team/PlayerCurrent Odds
Level UP59%
Zero Tenacity42%

2 options total

PillarLab

🎯 Best Trade

  • Action: Zero Tenacity β€” NO @ 42%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: MEDIUM

  • Why:

  • Slumped to 1-3 in last four games, with losses to Nem, NGX, and L1GA.
  • Only win was a narrow 2-1 over RKX, not a dominant statement.
  • No confirmed matchup advantage or recent upgrade to offset form dip.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Level UP59%🟒 FAVORED
Zero Tenacity42%πŸ”΄ TRAILING

I price with the market β€” 🟒 favored Β· πŸ”΄ trailing. The analysis below is the why.

PillarLab

πŸ”¬ 9-Pillar Analysis (Sharp Trading Method)

πŸ“Š 1. Vegas Line

The wider betting market does not publish a clean head-to-head price for this specific matchup, so the prediction market's own pricing stands as the primary reference.

πŸ“ˆ 2. PillarScore

Level UP's recent 3-2 run in EPL Season 29 group play provides a modest form edge over Zero Tenacity's 1-3 record in 1w Essence I, though opponent quality is not well established.

πŸ₯ 3. Injury Report

No confirmed player injuries or roster changes for either side were surfaced in the intelligence, leaving this as a neutral factor.

πŸ“± 4. Reddit Sentiment

No substantive Reddit discussion surfaced for this match, so crowd sentiment is not a measurable factor.

πŸ”’ 5. Team Stats & Form

Zero Tenacity's recent form is weaker: they lost 3 of their last 4 games (to Nem, NGX, L1GA) and only won against RKX, while Level UP won 3 of their last 5 including a 2-1 victory over One Move.

🌀️ 6. Situational Factors

Both teams compete in the same EU/CIS regional Dota 2 ecosystem, so no venue, travel, or rest advantage is evident for this matchup.

πŸ’° 7. Handle Split (Public vs Sharp)

No handle split or sharp-vs-public data is publicly available for this match, so we rely on market price as the aggregated consensus.

⏰ 8. Time Decay

MEDIUM - The most recent games for both sides are several months old (December 2025 for Level UP, May 2026 for Zero Tenacity), so the market price may reflect stale form; however, no fresh news has emerged to trigger a repricing.

⚑ 9. Contrarian Check

Zero Tenacity has a strong historical rΓ©sumΓ© (1st in EPL Championship Season 1), but their recent 1-3 form and lack of a clear edge in available intelligence suggest the market's 42% is fair; the contrarian case would require evidence of a recent uptick not surfaced.

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Paste a Kalshi or Polymarket URL β†’ AI fetches real-time API market data β†’ 4–5 parallel intelligence sources β†’ a deep 9-pillar analysis β†’ an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.

⚽ Sports (9 Pillars)

  1. 1.Vegas Lines β†’ spread, moneyline, totals
  2. 2.Line Movement β†’ sharp money signals
  3. 3.Injury Reports β†’ player status tracking
  4. 4.Reddit Sentiment β†’ r/sportsbook consensus
  5. 5.Team Statistics β†’ form, H2H, splits
  6. 6.Situational Factors β†’ rest, travel, schedule
  7. 7.Handle Splits β†’ public vs sharp money
  8. 8.Time Decay β†’ late line movement
  9. 9.Contrarian Check β†’ fade-the-public value

🌦️ Weather (9 Pillars)

  1. 1.Forecast Consensus β†’ GFS / ECMWF / NWS agreement
  2. 2.Ensemble Spread β†’ GEFS uncertainty range
  3. 3.Forecast Skill Decay β†’ accuracy vs time horizon
  4. 4.Historical Base Rate β†’ NOAA climate frequency
  5. 5.Model Divergence β†’ where models disagree vs market
  6. 6.Micro-Climate Bias β†’ station-specific effects
  7. 7.Storm Track β†’ NHC cone / hurricane tracking
  8. 8.Market Pricing β†’ implied probability vs forecast
  9. 9.Contrarian Check β†’ overshoot / mean-reversion

πŸ’° Finance (9 Pillars)

  1. 1.Technical Analysis β†’ RSI, MACD, support levels
  2. 2.Fundamental Metrics β†’ P/E, revenue, earnings
  3. 3.Smart Money β†’ institutional flows, insider trades
  4. 4.Reddit Sentiment β†’ WSB, r/stocks analysis
  5. 5.Macro Indicators β†’ Fed rates, inflation, GDP
  6. 6.News Catalysts β†’ earnings, product launches
  7. 7.Social Velocity β†’ Twitter momentum tracking
  8. 8.Market Signals β†’ volume, bid-ask analysis
  9. 9.Contrarian Check β†’ overcrowded trade detection

πŸ“° General (9 Pillars)

  1. 1.Base Rate β†’ historical frequency analysis
  2. 2.Official Benchmarks β†’ expert forecasts
  3. 3.Reddit Sentiment β†’ subreddit consensus
  4. 4.Social Velocity β†’ viral momentum tracking
  5. 5.News Recency β†’ 24–72h breaking news
  6. 6.Source Quality β†’ credibility scoring
  7. 7.Time Decay β†’ resolution timeline
  8. 8.Contrarian Check β†’ hidden edge detection

πŸ›οΈ Politics (9 Pillars)

  1. 1.Polls Analysis β†’ polling vs market odds divergence
  2. 2.Economic Impact β†’ GDP, unemployment affecting votes
  3. 3.Approval Ratings β†’ candidate favorability tracking
  4. 4.Cross-Platform Markets β†’ Polymarket vs Kalshi arbitrage
  5. 5.Breaking News β†’ events shifting political odds
  6. 6.Regional Patterns β†’ swing state analysis
  7. 7.Social Sentiment β†’ Reddit, X political trends
  8. 8.Data Uncertainty β†’ confidence intervals
  9. 9.Contrarian Risk β†’ devil's advocate view