ItsSnoopy — CS2 Stats
76561198363506446[U:1:403240718]✓ 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 | 37.8% | 42.1% | 42.5% | 4.6% short |
| Shot accuracy | 8.9% | 12.1% | 10.9% | 2.0% short |
| Kill/death ratio | 0.74 | 0.99 | 0.99 | 0.25 short |
| Match win rate | 37.0% | 43.9% | 44.2% | 7.1% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Kill/death ratio. 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 · -0.02 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 57% playstyle similarity
Most alike: opening-duel success, 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. 754ms 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 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 cache | C | 41 | 18–23 | 44% | -0.05 |
 overpass | A | 8 | 5–3 | 63% | -0.04 |
 mirage | C | 8 | 3–5 | 38% | -0.04 |
 ancient | D | 7 | 1–6 | 14% | -0.05 |
 anubis | D | 7 | 0–7 | 0% | -0.07 |
 inferno | D | 6 | 2–4 | 33% | -0.02 |
 train | S | 5 | 4–1 | 80% | -0.00 |
 vertigo | — | 4 | 3–1 | 75% | -0.05 |
 nuke | — | 4 | 0–4 | 0% | -0.04 |
| warden | — | 4 | 3–1 | 75% | -0.04 |
| boulder | — | 2 | 0–2 | 0% | -0.07 |
 dust2 | — | 2 | 2–0 | 100% | 0.00 |
| fachwerk | — | 1 | 0–1 | 0% | -0.09 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 7). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2 | 50% | 0.56 | 7.5 |
| Overpass | 2 | 100% | 0.42 | 5.5 |
| Train | 1 | 0% | 0.37 | 7.0 |
| Mirage | 1 | 0% | 0.50 | 8.0 |
| Inferno | 1 | 0% | 0.69 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 12.9871% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 754.3993ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3036 — below the 0.5 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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 8–13 | -0.03 | 11% | 21 Aug → | |
| fachwerk | 8–13 | -0.09 | 11% | 21 Aug → | |
| boulder | 1–13 | -0.06 | 26% | 20 Aug → | |
| ancient | 7–13 | -0.09 | 11% | 20 Aug → | |
| vertigo | 13–8 | -0.04 | 5% | 20 Aug → | |
| overpass | 11–13 | -0.01 | 12% | 20 Aug → | |
| anubis | 12–12 | -0.09 | 17% | 20 Aug → | |
| ancient | 13–10 | -0.00 | 17% | 18 Aug → | |
| anubis | 12–12 | -0.12 | 13% | 18 Aug → | |
| mirage | 10–13 | -0.08 | 15% | 18 Aug → | |
| inferno | 13–10 | -0.04 | 9% | 18 Aug → | |
| overpass | 13–2 | -0.05 | 0% | 18 Aug → | |
| train | 13–10 | -0.06 | 4% | 18 Aug → | |
| cache | 3–13 | -0.01 | 13% | 18 Aug → | |
| overpass | 13–2 | -0.08 | 3% | 18 Aug → | |
| cache | 4–13 | -0.07 | 12% | 13 Aug → | |
| overpass | 9–13 | 0.00 | 9% | 12 Aug → | |
| anubis | 7–13 | -0.05 | 13% | 12 Aug → | |
| cache | 5–13 | -0.01 | 17% | 12 Aug → | |
| nuke | 9–13 | -0.04 | 15% | 12 Aug → | |
| train | 13–0 | 0.02 | 9% | 12 Aug → | |
| cache | 13–7 | -0.04 | 16% | 28 Jul → | |
| anubis | 8–13 | -0.07 | 14% | 28 Jul → | |
| cache | 13–7 | -0.09 | 24% | 21 Jul → | |
| boulder | 12–12 | -0.08 | 17% | 21 Jul → | |
| shelter | 13–7 | -0.03 | 14% | 21 Jul → | |
| mirage | 5–13 | -0.04 | 18% | 3 Jul → | |
| cache | 12–12 | -0.03 | 12% | 3 Jul → | |
| ancient | 7–13 | -0.07 | 11% | 3 Jul → | |
| cache | 13–7 | -0.07 | 22% | 22 Jun → | |
| warden | 13–5 | -0.06 | 13% | 22 Jun → | |
| cache | 10–13 | -0.04 | 12% | 22 Jun → | |
| cache | 12–12 | -0.09 | 19% | 19 Jun → | |
| inferno | 7–13 | -0.03 | 6% | 19 Jun → | |
| nuke | 12–12 | -0.03 | 19% | 19 Jun → | |
| cache | 13–10 | -0.04 | 20% | 9 Jun → | |
| cache | 13–9 | -0.01 | 30% | 9 Jun → | |
| mirage | 2–3 | -0.13 | 0% | 9 Jun → | |
| inferno | 6–13 | -0.05 | 20% | 9 Jun → | |
| cache | 6–13 | -0.09 | 32% | 30 May → | |
| mirage | 8–13 | 0.02 | 26% | 30 May → | |
| cache | 13–9 | -0.01 | 11% | 30 May → | |
| train | 6–13 | -0.05 | 10% | 30 May → | |
| cache | 13–9 | -0.04 | 7% | 21 May → | |
| cache | 12–12 | -0.05 | 28% | 21 May → | |
| cache | 13–6 | -0.09 | 9% | 21 May → | |
| cache | 13–10 | -0.03 | 21% | 20 May → | |
| cache | 13–6 | -0.05 | 47% | 20 May → | |
| cache | 11–13 | -0.05 | 26% | 20 May → | |
| cache | 13–8 | -0.03 | 13% | 20 May → | |
| overpass | 5–13 | -0.17 | 21% | 20 May → | |
| cache | 6–13 | -0.04 | 16% | 20 May → | |
| vertigo | 13–8 | -0.03 | 23% | 18 May → | |
| nuke | 9–13 | -0.02 | 9% | 18 May → | |
| overpass | 13–8 | -0.06 | 14% | 18 May → | |
| cache | 13–11 | -0.02 | 3% | 18 May → | |
| mirage | 10–13 | -0.06 | 19% | 18 May → | |
| anubis | 3–13 | -0.04 | 8% | 18 May → | |
| cache | 3–5 | -0.06 | 0% | 18 May → | |
| cache | 4–13 | -0.10 | 27% | 14 May → | |
| cache | 7–13 | -0.05 | 15% | 14 May → | |
| cache | 7–13 | -0.03 | 16% | 14 May → | |
| cache | 5–13 | -0.09 | 10% | 7 May → | |
| cache | 13–7 | -0.04 | 25% | 7 May → | |
| cache | 13–9 | -0.06 | 9% | 7 May → | |
| cache | 13–3 | 0.00 | 9% | 6 May → | |
| cache | 13–1 | 0.06 | 22% | 6 May → | |
| overpass | 13–11 | 0.01 | 16% | 4 May → | |
| inferno | 6–13 | 0.08 | 11% | 3 May → | |
| ancient | 5–13 | -0.07 | 19% | 3 May → | |
| mirage | 13–8 | 0.00 | 12% | 3 May → | |
| cache | 12–12 | -0.05 | 24% | 3 May → | |
| cache | 13–6 | -0.03 | 12% | 3 May → | |
| cache | 12–12 | -0.06 | 8% | 3 May → | |
| cache | 5–13 | -0.02 | 14% | 2 May → | |
| cache | 12–12 | -0.10 | 18% | 2 May → | |
| cache | 2–13 | -0.05 | 11% | 2 May → | |
| ancient | 3–13 | -0.01 | 19% | 1 May → | |
| dust2 | 13–6 | 0.01 | 20% | 1 May → | |
| cache | 4–13 | -0.07 | 12% | 30 Apr → | |
| cache | 13–7 | -0.04 | 17% | 29 Apr → | |
| cache | 4–13 | -0.10 | 3% | 29 Apr → | |
| cache | 8–13 | -0.06 | 16% | 29 Apr → | |
| vertigo | 5–13 | -0.07 | 7% | 27 Apr → | |
| mirage | 13–5 | -0.02 | 24% | 26 Apr → | |
| mirage | 3–13 | -0.04 | 17% | 26 Apr → | |
| overpass | 13–1 | 0.03 | 0% | 26 Apr → | |
| warden | 6–13 | -0.09 | 6% | 25 Apr → | |
| inferno | 13–7 | -0.06 | 3% | 25 Apr → | |
| anubis | 12–12 | -0.04 | 5% | 25 Apr → | |
| ancient | 9–13 | 0.00 | 8% | 25 Apr → | |
| nuke | 12–12 | -0.06 | 12% | 25 Apr → | |
| warden | 11–1 | -0.01 | 20% | 25 Apr → | |
| train | 13–7 | -0.02 | 18% | 25 Apr → | |
| anubis | 3–13 | -0.07 | 12% | 25 Apr → | |
| vertigo | 13–7 | -0.06 | 13% | 23 Apr → | |
| warden | 13–6 | -0.01 | 10% | 23 Apr → | |
| train | 13–6 | 0.08 | 14% | 23 Apr → | |
| dust2 | 16–14 | 0.00 | 14% | 22 Apr → | |
| ancient | 9–13 | -0.11 | 17% | 22 Apr → |
Match data via Leetify.