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KT Rolster Challengers vs. DN SOOPers Challengers

Sports Β· Kalshi Β· Called NO, verified WIN Β· Sep 11, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called DN SOOPers Challengers will NOT win (NO @ 31%).
Result: DN SOOPers Challengers did not win. The call was correct. Final result: KT Rolster Challengers won.
Analyzed: Sep 11, 2026, 7:34 AM UTC
Market resolved: Sep 11, 2026, 11:32 AM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxlolgame/kt-rolster-challengers-vs-dn-soopers-challengers/KXLOLGAME-26SEP110400KTCDNSC?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.5s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: KT Rolster Challengers vs. DN SOOPers Challengers πŸ“… Date: 2026-09-11T08:00:00.000Z πŸ’° Volume: $64,908 Current Odds: β€’ KT Rolster Challengers: 70% β€’ DN SOOPers Challengers: 31%1.3s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)12.8s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ KT Rolster Challengers vs. DN SOOPers Challengers

Team/PlayerCurrent Odds
KT Rolster Challengers70%
DN SOOPers Challengers31%

2 options total

PillarLab

🎯 Best Trade

  • Action: DN SOOPers Challengers β€” NO @ 31%

  • Confidence: πŸ”΄ LOW Β· Uncertainty: LOW

  • Why:

  • DN has lost all four prior meetings to KT, including a 2-0 defeat on Mar 30, 2026, and has never beaten them.
  • DN's 0.49 winrate over the last year and #151 world ranking are well below KT's 0.73 and #64, and one source has them 1-4 in their last five with losses to KT and Nongshim.
  • DN's momentum is Play-In-derived rather than top-bracket quality, and their recent wins came against weaker opposition like HANJIN BRION Challengers.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
KT Rolster Challengers70%βšͺ FAIR
DN SOOPers Challengers31%βšͺ FAIR

Verdicts compare my own read against the market price β€” 🟒 UNDERPRICED (market has it too low) Β· πŸ”΄ OVERPRICED (market has it too high). The analysis below is the why.

PillarLab

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

πŸ“Š 1. Vegas Line

My Vegas Line reads KT Rolster Challengers as the favorite at roughly 58% implied, with DN SOOPers Challengers around 49% on the other side of a near-even book.

πŸ“ˆ 2. PillarScore

KT's recent 3-of-5 came against T1 Academy, Gen.G Academy, BNK FEARX Youth, Nongshim Academy and HANJIN BRION, while DN's 3-of-5 included Gen.G Academy, Nongshim Academy, Hanwha Life Challengers, DRX Challengers and T1 Academy β€” comparable opposition, but KT's 0.73 half-year winrate and #64 world rank dwarf DN's 0.49 winrate and #151 rank.

πŸ₯ 3. Injury Report

No injury, suspension or availability report exists for either side; the only roster information is the listed lineups (Enosh, Lancer, DDoiV, Quantum, Flip vs Effort, Bonnie, Sylvie, R JGL, R adc, Sero), with no player flagged out.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment data is available for this LCK CL fixture β€” the only crowd chatter is a prediction-market comment thread calling KT 'better fighters', which is thin and not a fade signal.

πŸ”’ 5. Team Stats & Form

DN SOOPers Challengers' recent form is genuinely split β€” one source has them 3-1 in their last five, another has them 1-4 with losses to KT and Nongshim β€” and their 0.49 winrate over the last year is the more reliable read against KT's 0.73.

🌀️ 6. Situational Factors

KT has the cleaner path: they won the only head-to-head 2-0 on Mar 30, 2026, and the dossier's 4-0 H2H figure (last meeting Aug 10, 2026) points to a matchup problem for DN, while DN's momentum is Play-In-derived rather than top-bracket quality.

πŸ”€ 7. Line Movement

No opening-vs-current line movement data is present for this match, so there is no steam or reverse-move signal to read.

⏰ 8. Time Decay

LOW - no pending injury news, lineup announcements or bracket developments are flagged, so there is no near-term catalyst that will force the market to reprice.

⚑ 9. Contrarian Check

The main contrarian risk is that DN SOOPers Challengers' Play-In momentum and Stake's Map 1 pick are being over-weighted by the crowd, while KT's 4-0 head-to-head and 0.73 winrate are the harder facts.

PillarLab

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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
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  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