_HooLii_ — CS2 Stats
CN76561199281963662[U:1:1321697934]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 40.6% | 41.7% | 44.1% | 3.5% short |
| Shot accuracy | 4.1% | 8.8% | 11.4% | 7.3% short |
| Kill/death ratio | 1.04 | 0.97 | 1.03 | meets |
| Match win rate | 42.8% | 43.8% | 45.2% | 2.4% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Reliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like device 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | S | 29 | 19–10 | 66% | 0.01 |
 dust2 | B | 19 | 9–10 | 47% | 0.01 |
 inferno | B | 11 | 5–6 | 45% | -0.03 |
 nuke | A | 9 | 5–4 | 56% | -0.02 |
 anubis | B | 8 | 4–4 | 50% | -0.02 |
 cache | C | 7 | 3–4 | 43% | -0.04 |
 ancient | C | 7 | 3–4 | 43% | -0.01 |
 train | C | 5 | 2–3 | 40% | -0.00 |
| office | — | 3 | 0–3 | 0% | -0.04 |
 vertigo | — | 1 | 0–1 | 0% | 0.01 |
 overpass | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 7 | 43% | 0.76 | 11.0 |
| Mirage | 5 | 20% | 0.91 | 13.4 |
| Nuke | 5 | 60% | 0.92 | 12.6 |
| Ancient | 5 | 20% | 0.73 | 13.8 |
| Anubis | 2 | 50% | 0.54 | 9.5 |
| Dust2 | 2 | 50% | 1.30 | 15.5 |
| Train | 1 | 0% | 0.62 | 13.0 |
| Overpass | 1 | 0% | 0.65 | 11.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–0 | 0.01 | 50% | 28 Aug → | |
| cache | 13–10 | -0.05 | 9% | 26 Aug → | |
| cache | 8–13 | -0.04 | 23% | 26 Aug → | |
| inferno | 13–10 | 0.04 | 22% | 21 Aug → | |
| nuke | 13–9 | 0.00 | 11% | 20 Aug → | |
| mirage | 13–9 | -0.02 | 21% | 20 Aug → | |
| dust2 | 10–13 | 0.05 | 21% | 18 Aug → | |
| mirage | 6–13 | -0.02 | 11% | 18 Aug → | |
| inferno | 12–12 | -0.00 | 13% | 17 Aug → | |
| train | 5–13 | 0.03 | 27% | 12 Aug → | |
| anubis | 10–13 | 0.02 | 3% | 8 Aug → | |
| inferno | 13–10 | 0.06 | 18% | 8 Aug → | |
| nuke | 8–13 | -0.04 | 18% | 5 Aug → | |
| mirage | 13–6 | 0.07 | 7% | 5 Aug → | |
| mirage | 10–1 | -0.01 | 26% | 5 Aug → | |
| mirage | 13–4 | 0.00 | 11% | 4 Aug → | |
| mirage | 13–6 | 0.07 | 20% | 31 Jul → | |
| mirage | 9–13 | 0.11 | 22% | 31 Jul → | |
| mirage | 13–4 | 0.09 | 13% | 25 Jul → | |
| mirage | 13–5 | -0.01 | 8% | 25 Jul → | |
| inferno | 3–9 | -0.17 | 50% | 22 Jul → | |
| mirage | 13–9 | -0.03 | 21% | 22 Jul → | |
| mirage | 4–13 | 0.01 | 20% | 22 Jul → | |
| mirage | 13–11 | 0.01 | 7% | 21 Jul → | |
| dust2 | 8–13 | -0.05 | 10% | 19 Jul → | |
| dust2 | 8–13 | -0.01 | 21% | 17 Jul → | |
| inferno | 2–13 | -0.04 | 13% | 17 Jul → | |
| mirage | 13–8 | 0.03 | 26% | 15 Jul → | |
| mirage | 13–10 | 0.05 | 32% | 15 Jul → | |
| mirage | 6–13 | -0.02 | 14% | 10 Jul → | |
| office | 11–13 | -0.02 | 20% | 8 Jul → | |
| mirage | 13–3 | 0.07 | 18% | 8 Jul → | |
| mirage | 16–14 | 0.03 | 18% | 1 Jul → | |
| dust2 | 8–13 | -0.01 | 27% | 24 Jun → | |
| mirage | 13–11 | -0.02 | 20% | 24 Jun → | |
| mirage | 11–13 | -0.05 | 8% | 24 Jun → | |
| inferno | 7–9 | -0.10 | 6% | 17 Jun → | |
| nuke | 12–12 | 0.00 | 21% | 17 Jun → | |
| mirage | 13–10 | -0.05 | 16% | 17 Jun → | |
| inferno | 9–3 | -0.10 | 9% | 17 Jun → | |
| inferno | 9–3 | 0.09 | 21% | 17 Jun → | |
| mirage | 10–13 | -0.07 | 15% | 15 Jun → | |
| mirage | 13–10 | 0.01 | 17% | 14 Jun → | |
| nuke | 13–11 | -0.03 | 8% | 11 Jun → | |
| ancient | 6–13 | -0.01 | 8% | 11 Jun → | |
| dust2 | 9–13 | -0.02 | 13% | 11 Jun → | |
| nuke | 13–10 | 0.05 | 18% | 10 Jun → | |
| vertigo | 10–13 | 0.01 | 7% | 3 Jun → | |
| mirage | 10–13 | 0.08 | 19% | 1 Jun → | |
| mirage | 13–3 | 0.02 | 13% | 30 May → | |
| nuke | 8–13 | -0.06 | 9% | 27 May → | |
| anubis | 13–6 | -0.05 | 6% | 27 May → | |
| anubis | 9–13 | -0.10 | 15% | 27 May → | |
| ancient | 6–13 | -0.05 | 22% | 27 May → | |
| anubis | 13–5 | 0.02 | 10% | 27 May → | |
| anubis | 8–13 | -0.03 | 11% | 27 May → | |
| anubis | 13–4 | -0.03 | 21% | 27 May → | |
| dust2 | 13–10 | 0.05 | 35% | 25 May → | |
| train | 12–12 | 0.00 | 15% | 24 May → | |
| dust2 | 12–12 | -0.02 | 9% | 24 May → | |
| mirage | 5–13 | -0.05 | 27% | 21 May → | |
| dust2 | 13–8 | 0.07 | 15% | 20 May → | |
| inferno | 13–9 | 0.06 | 8% | 20 May → | |
| overpass | 13–5 | 0.00 | 13% | 18 May → | |
| mirage | 1–13 | -0.06 | 8% | 18 May → | |
| ancient | 13–5 | -0.00 | 8% | 17 May → | |
| dust2 | 11–13 | -0.00 | 21% | 13 May → | |
| office | 12–12 | -0.06 | 38% | 13 May → | |
| office | 11–13 | -0.02 | 12% | 13 May → | |
| ancient | 11–13 | -0.02 | 8% | 10 May → | |
| anubis | 7–13 | -0.07 | 17% | 7 May → | |
| ancient | 13–4 | -0.02 | 4% | 7 May → | |
| nuke | 13–8 | -0.06 | 16% | 6 May → | |
| inferno | 3–13 | -0.07 | 20% | 6 May → | |
| mirage | 5–0 | -0.03 | 20% | 6 May → | |
| ancient | 13–6 | -0.02 | 12% | 6 May → | |
| anubis | 13–5 | 0.04 | 16% | 6 May → | |
| cache | 6–13 | -0.04 | 12% | 6 May → | |
| cache | 10–13 | -0.08 | 14% | 6 May → | |
| cache | 7–13 | -0.05 | 7% | 6 May → | |
| nuke | 13–7 | -0.04 | 3% | 3 May → | |
| dust2 | 15–15 | -0.07 | 10% | 2 May → | |
| dust2 | 13–5 | 0.03 | 18% | 2 May → | |
| dust2 | 13–8 | -0.02 | 19% | 2 May → | |
| cache | 13–6 | -0.00 | 19% | 1 May → | |
| cache | 13–3 | -0.02 | 17% | 1 May → | |
| inferno | 6–9 | -0.05 | 3% | 1 May → | |
| dust2 | 13–8 | 0.02 | 17% | 29 Apr → | |
| mirage | 13–6 | 0.02 | 20% | 26 Apr → | |
| nuke | 12–12 | -0.00 | 20% | 26 Apr → | |
| ancient | 10–13 | 0.01 | 14% | 26 Apr → | |
| dust2 | 13–9 | -0.04 | 20% | 26 Apr → | |
| dust2 | 2–13 | 0.05 | 18% | 25 Apr → | |
| dust2 | 13–6 | 0.02 | 10% | 25 Apr → | |
| train | 6–13 | 0.04 | 26% | 23 Apr → | |
| train | 13–4 | -0.01 | 4% | 22 Apr → | |
| train | 13–10 | -0.07 | 6% | 22 Apr → | |
| dust2 | 13–8 | 0.04 | 11% | 22 Apr → | |
| dust2 | 11–13 | 0.01 | 17% | 22 Apr → | |
| mirage | 10–13 | 0.04 | 7% | 22 Apr → |
Match data via Leetify.