leminhohoho/hltv-kill-prediction
AI model by leminhohoho
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Model card & documentation
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Models from the report REPORTP4kills.pdf: given a CS2 map, predict for every pair of the ten players who will finish with more kills. Two regimes: Baselines: naive career kill-rate 58.0 %, market/rating 59.4 %. Pre-match full-coverage accuracy is capped near 60 % by the between-player variance (ICC = 0.045; a Gamma-Poisson player model tops out at 60.4 %), so the pre-match model is essentially at the information ceiling; 80 % pre-match is impossible and the achievable route is a selective one (90 % accuracy on the top 1 % most confident pairs, 80 % on top 8 %). roundtokens.npz holds, per player per round, 23 features (k d dmg hits flenemy grn spn won ist1 sd ck cd cdmg ri f20kp24 f5kp24 f20share f20awpsh f20opener f20surv pmapshare rshrunk gshare — round kills/deaths/damage/hits, flashes and grenades, round result and side, cumulative kills/deaths, round index, plus static pre-match per-player profiles and shared…
Read the full model card ↗ · Preview checked 2026-11-12T08:42:12.216Z
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Model overview
leminhohoho/hltv-kill-prediction is a task-unspecified model repository published by leminhohoho on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-11-12T06:49:09.000Z
- Last modified
- 2026-11-12T06:49:26.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-12T06:57:10.640Z. Daily imports are snapshots, not real-time monitoring.
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