Squanchy — CS2 Stats
US76561198129234243[U:1:168968515]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 37.1% | 42.1% | 42.5% | 5.3% short |
| Shot accuracy | 0.1% | 12.1% | 10.9% | 10.8% short |
| Kill/death ratio | 0.70 | 0.99 | 0.99 | 0.30 short |
| Match win rate | 38.4% | 43.9% | 44.2% | 5.8% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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 · -0.01 avg rating
Player DNA
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 NiKo 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 35% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 4.2/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | B | 38 | 17–21 | 45% | -0.02 |
 nuke | C | 17 | 7–10 | 41% | -0.03 |
 anubis | C | 9 | 4–5 | 44% | -0.04 |
 mirage | C | 8 | 3–5 | 38% | -0.04 |
 cache | A | 7 | 4–3 | 57% | -0.03 |
 vertigo | B | 6 | 3–3 | 50% | -0.04 |
 overpass | D | 6 | 2–4 | 33% | 0.01 |
 inferno | D | 5 | 0–5 | 0% | -0.06 |
 ancient | — | 3 | 0–3 | 0% | -0.03 |
 train | — | 1 | 1–0 | 100% | -0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 6 | 50% | 0.42 | 5.8 |
| Nuke | 6 | 33% | 0.71 | 10.7 |
| Train | 4 | 50% | 0.49 | 8.3 |
| Mirage | 4 | 0% | 0.42 | 7.5 |
| Inferno | 2 | 50% | 0.49 | 5.5 |
| Anubis | 1 | 0% | 0.15 | 2.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7709° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 5.8663% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–11 | 0.02 | 1% | 27 Aug → | |
| mirage | 5–13 | -0.02 | 6% | 27 Aug → | |
| cache | 13–2 | -0.01 | 2% | 14 Aug → | |
| train | 13–6 | -0.09 | 2% | 12 Aug → | |
| dust2 | 1–5 | -0.07 | 17% | 11 Aug → | |
| inferno | 7–13 | -0.07 | 8% | 11 Aug → | |
| dust2 | 11–13 | -0.03 | 2% | 10 Aug → | |
| nuke | 13–4 | -0.04 | 10% | 10 Aug → | |
| vertigo | 13–4 | 0.01 | 4% | 10 Aug → | |
| mirage | 13–7 | 0.04 | 6% | 9 Aug → | |
| dust2 | 13–10 | -0.01 | 9% | 9 Aug → | |
| ancient | 10–13 | 0.06 | 2% | 6 Aug → | |
| mirage | 3–9 | -0.02 | 11% | 6 Aug → | |
| dust2 | 13–9 | -0.09 | 6% | 4 Aug → | |
| inferno | 5–13 | -0.09 | 6% | 4 Aug → | |
| cache | 13–10 | -0.03 | 2% | 4 Aug → | |
| dust2 | 13–3 | 0.14 | 8% | 4 Aug → | |
| inferno | 8–13 | -0.05 | 5% | 3 Aug → | |
| dust2 | 5–13 | -0.05 | 7% | 3 Aug → | |
| dust2 | 13–16 | -0.05 | 4% | 3 Aug → | |
| dust2 | 13–7 | 0.03 | 11% | 2 Aug → | |
| vertigo | 7–13 | -0.05 | 4% | 1 Aug → | |
| vertigo | 9–13 | -0.03 | 7% | 1 Aug → | |
| anubis | 16–13 | -0.08 | 7% | 31 Jul → | |
| dust2 | 13–10 | -0.05 | 9% | 31 Jul → | |
| nuke | 7–13 | -0.10 | 2% | 31 Jul → | |
| nuke | 15–15 | -0.02 | 12% | 30 Jul → | |
| dust2 | 6–13 | -0.05 | 6% | 30 Jul → | |
| inferno | 11–13 | -0.03 | 6% | 29 Jul → | |
| dust2 | 16–12 | 0.00 | 3% | 29 Jul → | |
| nuke | 12–12 | -0.02 | 10% | 27 Jul → | |
| ancient | 9–13 | -0.08 | 10% | 26 Jul → | |
| dust2 | 11–13 | -0.06 | 8% | 24 Jul → | |
| cache | 13–6 | -0.01 | 8% | 24 Jul → | |
| anubis | 10–1 | 0.11 | 13% | 24 Jul → | |
| nuke | 10–13 | -0.01 | 8% | 24 Jul → | |
| anubis | 13–11 | -0.06 | 16% | 22 Jul → | |
| anubis | 11–13 | -0.05 | 12% | 22 Jul → | |
| nuke | 11–13 | -0.05 | 9% | 18 Jul → | |
| cache | 6–13 | -0.07 | 9% | 18 Jul → | |
| dust2 | 11–13 | -0.06 | 12% | 12 Jul → | |
| anubis | 13–9 | -0.09 | 14% | 11 Jul → | |
| nuke | 13–2 | -0.07 | 7% | 9 Jul → | |
| dust2 | 11–13 | -0.01 | 12% | 4 Jul → | |
| overpass | 5–13 | -0.02 | 9% | 4 Jul → | |
| dust2 | 13–9 | -0.00 | 12% | 3 Jul → | |
| mirage | 11–13 | -0.07 | 4% | 3 Jul → | |
| nuke | 4–13 | -0.09 | 11% | 3 Jul → | |
| dust2 | 11–13 | -0.01 | 9% | 2 Jul → | |
| cache | 13–5 | 0.02 | 13% | 2 Jul → | |
| cache | 12–12 | -0.04 | 2% | 2 Jul → | |
| dust2 | 15–15 | -0.04 | 9% | 2 Jul → | |
| overpass | 3–13 | 0.02 | 5% | 2 Jul → | |
| overpass | 5–13 | -0.07 | 4% | 27 Jun → | |
| dust2 | 5–13 | -0.09 | 6% | 27 Jun → | |
| overpass | 8–13 | -0.02 | 6% | 27 Jun → | |
| nuke | 6–13 | 0.00 | 11% | 27 Jun → | |
| dust2 | 10–4 | 0.08 | 23% | 26 Jun → | |
| anubis | 5–13 | -0.03 | 11% | 26 Jun → | |
| dust2 | 13–7 | 0.09 | 21% | 26 Jun → | |
| nuke | 7–13 | -0.00 | 11% | 26 Jun → | |
| nuke | 13–6 | 0.10 | 15% | 26 Jun → | |
| dust2 | 13–1 | 0.09 | 10% | 26 Jun → | |
| dust2 | 13–10 | 0.03 | 13% | 25 Jun → | |
| nuke | 13–8 | 0.01 | 7% | 25 Jun → | |
| dust2 | 1–13 | -0.10 | 14% | 24 Jun → | |
| cache | 3–13 | -0.03 | 9% | 24 Jun → | |
| mirage | 11–13 | -0.03 | 3% | 24 Jun → | |
| dust2 | 4–13 | -0.09 | 17% | 14 Jun → | |
| nuke | 13–8 | 0.01 | 0% | 13 Jun → | |
| dust2 | 12–12 | -0.04 | 12% | 13 Jun → | |
| anubis | 9–13 | 0.01 | 10% | 13 Jun → | |
| dust2 | 14–16 | -0.02 | 12% | 12 Jun → | |
| nuke | 3–13 | -0.07 | 15% | 12 Jun → | |
| dust2 | 13–7 | -0.07 | 22% | 11 Jun → | |
| dust2 | 13–10 | -0.02 | 11% | 11 Jun → | |
| inferno | 4–13 | -0.05 | 11% | 10 Jun → | |
| mirage | 6–13 | -0.07 | 17% | 10 Jun → | |
| vertigo | 8–13 | -0.11 | 0% | 10 Jun → | |
| nuke | 16–14 | -0.05 | 5% | 8 Jun → | |
| dust2 | 13–7 | -0.02 | 17% | 6 Jun → | |
| nuke | 6–13 | -0.10 | 8% | 6 Jun → | |
| vertigo | 11–7 | -0.08 | 7% | 6 Jun → | |
| ancient | 10–13 | -0.06 | 3% | 5 Jun → | |
| dust2 | 10–13 | -0.10 | 2% | 4 Jun → | |
| vertigo | 13–3 | 0.04 | 18% | 3 Jun → | |
| anubis | 2–13 | -0.11 | 9% | 2 Jun → | |
| dust2 | 13–6 | 0.02 | 5% | 2 Jun → | |
| anubis | 12–12 | -0.05 | 12% | 29 May → | |
| dust2 | 5–13 | -0.11 | 9% | 29 May → | |
| dust2 | 11–13 | -0.08 | 0% | 28 May → | |
| mirage | 13–5 | -0.06 | 7% | 28 May → | |
| mirage | 8–6 | -0.06 | 6% | 28 May → | |
| dust2 | 8–13 | -0.06 | 6% | 27 May → | |
| dust2 | 13–6 | -0.04 | 5% | 25 May → | |
| dust2 | 13–9 | 0.12 | 12% | 25 May → | |
| dust2 | 11–13 | 0.10 | 22% | 25 May → | |
| dust2 | 14–16 | 0.01 | 23% | 24 May → | |
| overpass | 13–7 | 0.06 | 21% | 24 May → | |
| overpass | 13–5 | 0.11 | 17% | 24 May → |
Match data via Leetify.
