Kangwon-GOONSQUAD — CS2 Stats
KR76561198147662073[U:1:187396345]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 30.8% | 47.1% | 50.0% | 19.2% short |
| Shot accuracy | 7.4% | 12.8% | 13.5% | 6.1% short |
| Kill/death ratio | 1.17 | 1.08 | 1.13 | above |
| Match win rate | 51.0% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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: -30pp win rate · -0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 sh1ro 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 556ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 inferno | S | 19 | 16–3 | 84% | 0.02 |
 mirage | B | 19 | 9–10 | 47% | 0.02 |
 ancient | A | 11 | 7–4 | 64% | 0.05 |
 dust2 | A | 11 | 6–5 | 55% | 0.00 |
 cache | S | 10 | 8–2 | 80% | 0.03 |
 anubis | C | 9 | 4–5 | 44% | 0.03 |
 nuke | A | 7 | 4–3 | 57% | 0.00 |
 train | A | 7 | 4–3 | 57% | 0.01 |
 overpass | S | 5 | 4–1 | 80% | 0.07 |
 vertigo | — | 1 | 0–1 | 0% | -0.04 |
| warden | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 45% | 0.97 | 15.4 |
| Anubis | 18 | 44% | 1.23 | 16.4 |
| Ancient | 10 | 60% | 1.17 | 18.0 |
| Inferno | 10 | 70% | 1.22 | 17.5 |
| Dust2 | 8 | 50% | 2.05 | 18.0 |
| Vertigo | 3 | 33% | 0.72 | 15.0 |
| Overpass | 3 | 100% | 1.23 | 20.0 |
| Train | 3 | 100% | 2.28 | 24.3 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1576 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 16–14 | 0.06 | 10% | 22 Aug → | |
| nuke | 13–4 | 0.05 | 15% | 21 Aug → | |
| inferno | 2–13 | -0.11 | 5% | 21 Aug → | |
| ancient | 9–13 | -0.03 | 29% | 21 Aug → | |
| cache | 13–6 | -0.05 | 13% | 19 Aug → | |
| ancient | 4–13 | -0.07 | 15% | 19 Aug → | |
| mirage | 3–13 | -0.04 | 18% | 16 Aug → | |
| inferno | 13–10 | 0.01 | 6% | 15 Aug → | |
| ancient | 13–5 | 0.07 | 22% | 15 Aug → | |
| ancient | 13–9 | 0.05 | 14% | 8 Aug → | |
| inferno | 13–4 | 0.01 | 19% | 8 Aug → | |
| train | 6–13 | -0.05 | 9% | 8 Aug → | |
| anubis | 13–3 | 0.02 | 11% | 2 Aug → | |
| overpass | 13–1 | 0.16 | 10% | 2 Aug → | |
| train | 13–0 | 0.03 | 10% | 2 Aug → | |
| mirage | 13–3 | 0.05 | 11% | 2 Aug → | |
| dust2 | 13–4 | -0.01 | 11% | 2 Aug → | |
| inferno | 11–4 | 0.01 | 6% | 2 Aug → | |
| cache | 13–8 | 0.11 | 22% | 2 Aug → | |
| mirage | 13–10 | 0.15 | 12% | 1 Aug → | |
| anubis | 11–13 | -0.01 | 16% | 1 Aug → | |
| dust2 | 6–13 | -0.01 | 35% | 1 Aug → | |
| inferno | 13–2 | 0.05 | 23% | 1 Aug → | |
| vertigo | 8–13 | -0.04 | 12% | 29 Jul → | |
| inferno | 5–13 | -0.02 | 22% | 27 Jul → | |
| cache | 13–7 | -0.00 | 14% | 27 Jul → | |
| inferno | 13–9 | 0.01 | 17% | 26 Jul → | |
| nuke | 13–2 | -0.06 | 17% | 26 Jul → | |
| cache | 13–11 | -0.02 | 7% | 25 Jul → | |
| dust2 | 10–13 | -0.05 | 20% | 25 Jul → | |
| anubis | 13–10 | 0.03 | 13% | 17 Jul → | |
| mirage | 9–13 | -0.03 | 13% | 15 Jul → | |
| inferno | 12–5 | 0.03 | 18% | 14 Jul → | |
| cache | 13–9 | 0.00 | 16% | 13 Jul → | |
| mirage | 11–13 | -0.06 | 13% | 9 Jul → | |
| cache | 5–13 | 0.00 | 10% | 9 Jul → | |
| dust2 | 13–9 | 0.00 | 22% | 9 Jul → | |
| warden | 13–8 | 0.11 | 16% | 7 Jul → | |
| mirage | 13–3 | 0.14 | 19% | 7 Jul → | |
| inferno | 13–2 | 0.13 | 23% | 7 Jul → | |
| cache | 13–9 | 0.12 | 13% | 7 Jul → | |
| mirage | 13–8 | 0.05 | 21% | 6 Jul → | |
| dust2 | 13–8 | 0.08 | 16% | 6 Jul → | |
| mirage | 10–13 | 0.04 | 18% | 5 Jul → | |
| anubis | 12–12 | 0.07 | 10% | 5 Jul → | |
| anubis | 10–13 | 0.08 | 17% | 2 Jul → | |
| nuke | 0–13 | -0.11 | 0% | 1 Jul → | |
| inferno | 6–13 | -0.01 | 20% | 1 Jul → | |
| ancient | 13–10 | 0.03 | 16% | 1 Jul → | |
| mirage | 12–12 | 0.00 | 14% | 29 Jun → | |
| dust2 | 13–1 | 0.05 | 29% | 29 Jun → | |
| ancient | 10–13 | -0.02 | 12% | 29 Jun → | |
| nuke | 13–2 | 0.01 | 11% | 29 Jun → | |
| mirage | 13–9 | 0.09 | 11% | 28 Jun → | |
| ancient | 12–12 | 0.02 | 20% | 28 Jun → | |
| train | 13–8 | -0.02 | 12% | 28 Jun → | |
| dust2 | 13–4 | -0.04 | 13% | 28 Jun → | |
| inferno | 13–8 | 0.01 | 27% | 22 Jun → | |
| mirage | 13–6 | -0.02 | 18% | 22 Jun → | |
| ancient | 13–3 | 0.12 | 13% | 21 Jun → | |
| mirage | 13–5 | 0.10 | 10% | 7 Jun → | |
| ancient | 13–0 | 0.10 | 24% | 7 Jun → | |
| dust2 | 7–13 | 0.04 | 22% | 4 Jun → | |
| inferno | 13–9 | 0.05 | 13% | 3 Jun → | |
| mirage | 10–13 | -0.06 | 13% | 31 May → | |
| nuke | 8–13 | 0.04 | 17% | 30 May → | |
| overpass | 12–12 | 0.04 | 17% | 24 May → | |
| cache | 13–5 | 0.10 | 20% | 24 May → | |
| overpass | 13–7 | 0.07 | 13% | 22 May → | |
| cache | 0–13 | -0.00 | 11% | 22 May → | |
| inferno | 13–11 | -0.05 | 8% | 17 May → | |
| cache | 13–11 | 0.06 | 14% | 9 May → | |
| train | 13–5 | 0.00 | 8% | 9 May → | |
| inferno | 13–10 | -0.03 | 14% | 6 May → | |
| mirage | 5–13 | 0.01 | 12% | 20 Apr → | |
| mirage | 3–13 | -0.04 | 11% | 26 Mar → | |
| overpass | 13–10 | 0.03 | 14% | 26 Mar → | |
| ancient | 13–7 | 0.11 | 14% | 25 Mar → | |
| anubis | 6–13 | 0.01 | 12% | 25 Mar → | |
| inferno | 13–7 | 0.10 | 9% | 21 Feb → | |
| mirage | 13–5 | 0.01 | 8% | 15 Feb → | |
| inferno | 13–10 | 0.08 | 14% | 15 Feb → | |
| inferno | 13–5 | 0.10 | 15% | 15 Feb → | |
| anubis | 9–13 | -0.02 | 9% | 14 Feb → | |
| ancient | 13–5 | 0.13 | 20% | 14 Feb → | |
| dust2 | 9–13 | -0.02 | 11% | 5 Feb → | |
| inferno | 13–5 | -0.03 | 10% | 3 Feb → | |
| nuke | 10–13 | 0.02 | 12% | 25 Jan → | |
| mirage | 13–9 | -0.03 | 14% | 25 Jan → | |
| dust2 | 8–13 | -0.01 | 18% | 23 Jan → | |
| anubis | 13–9 | 0.06 | 11% | 22 Jan → | |
| train | 13–10 | 0.03 | 10% | 20 Jan → | |
| mirage | 12–12 | -0.01 | 21% | 16 Jan → | |
| dust2 | 13–6 | -0.01 | 10% | 3 Jan → | |
| train | 3–13 | 0.05 | 15% | 27 Dec → | |
| anubis | 13–8 | -0.01 | 16% | 27 Dec → | |
| mirage | 3–13 | -0.03 | 15% | 27 Dec → | |
| overpass | 13–5 | 0.03 | 13% | 26 Dec → | |
| inferno | 13–3 | 0.04 | 13% | 26 Dec → | |
| train | 12–12 | 0.03 | 12% | 16 Dec → |
Match data via Leetify.
