SQUIRTLE — CS2 Stats
76561198372301433[U:1:412035705]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 | 30.3% | 42.2% | 42.7% | 12.4% short |
| Shot accuracy | 19.0% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.93 | 0.98 | 1.00 | 0.06 short |
| Match win rate | 45.9% | 43.6% | 44.1% | above |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. 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 · -0.00 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 61% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 706ms 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 2.8/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 24 | 10–14 | 42% | -0.05 |
 nuke | C | 15 | 6–9 | 40% | -0.04 |
 cache | D | 15 | 5–10 | 33% | -0.02 |
 mirage | D | 13 | 4–9 | 31% | -0.05 |
 inferno | D | 10 | 3–7 | 30% | -0.07 |
 vertigo | D | 6 | 2–4 | 33% | -0.06 |
 ancient | D | 5 | 0–5 | 0% | -0.06 |
 train | C | 5 | 2–3 | 40% | -0.05 |
 anubis | — | 3 | 2–1 | 67% | -0.02 |
 overpass | — | 2 | 2–0 | 100% | -0.00 |
| office | — | 2 | 2–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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.
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 12.7123% — 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 705.7504ms — above the 700ms mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 17.8167% — below the 40% 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 | |
|---|---|---|---|---|---|
| mirage | 7–13 | -0.03 | 15% | 17 Jul → | |
| dust2 | 9–13 | -0.06 | 10% | 17 Jul → | |
| ancient | 9–13 | -0.07 | 9% | 17 Jul → | |
| inferno | 9–13 | -0.08 | 16% | 11 Jul → | |
| inferno | 4–4 | -0.06 | 8% | 11 Jul → | |
| train | 4–13 | -0.09 | 24% | 11 Jul → | |
| nuke | 9–13 | -0.05 | 15% | 10 Jul → | |
| dust2 | 13–11 | -0.01 | 24% | 10 Jul → | |
| cache | 11–13 | -0.01 | 13% | 6 Jul → | |
| dust2 | 13–8 | -0.08 | 14% | 1 Jul → | |
| dust2 | 13–9 | -0.06 | 8% | 1 Jul → | |
| ancient | 12–12 | -0.03 | 14% | 30 Jun → | |
| nuke | 13–4 | 0.04 | 26% | 30 Jun → | |
| dust2 | 4–13 | -0.10 | 7% | 30 Jun → | |
| nuke | 1–13 | -0.11 | 0% | 25 Jun → | |
| dust2 | 13–6 | -0.07 | 17% | 25 Jun → | |
| nuke | 13–4 | 0.04 | 16% | 25 Jun → | |
| train | 5–13 | -0.02 | 17% | 23 Jun → | |
| nuke | 11–13 | -0.11 | 9% | 21 Jun → | |
| mirage | 7–13 | -0.11 | 7% | 21 Jun → | |
| nuke | 2–13 | -0.05 | 13% | 14 Jun → | |
| inferno | 13–10 | -0.10 | 7% | 13 Jun → | |
| overpass | 13–9 | -0.03 | 10% | 9 Jun → | |
| vertigo | 2–13 | -0.12 | 19% | 9 Jun → | |
| cache | 12–12 | -0.06 | 11% | 9 Jun → | |
| mirage | 6–13 | -0.06 | 23% | 6 Jun → | |
| ancient | 6–13 | -0.07 | 4% | 6 Jun → | |
| vertigo | 13–2 | -0.04 | 3% | 6 Jun → | |
| inferno | 7–13 | -0.05 | 11% | 6 Jun → | |
| nuke | 8–13 | -0.09 | 10% | 6 Jun → | |
| dust2 | 10–13 | -0.05 | 22% | 6 Jun → | |
| dust2 | 4–13 | -0.10 | 16% | 6 Jun → | |
| inferno | 12–12 | -0.05 | 23% | 5 Jun → | |
| cache | 11–13 | -0.08 | 15% | 5 Jun → | |
| vertigo | 13–5 | 0.03 | 15% | 3 Jun → | |
| vertigo | 12–12 | -0.04 | 5% | 3 Jun → | |
| vertigo | 4–13 | -0.05 | 4% | 3 Jun → | |
| anubis | 13–9 | 0.02 | 11% | 2 Jun → | |
| anubis | 3–13 | -0.09 | 10% | 2 Jun → | |
| anubis | 13–5 | 0.01 | 11% | 2 Jun → | |
| inferno | 9–6 | 0.03 | 8% | 29 May → | |
| inferno | 5–9 | -0.05 | 29% | 29 May → | |
| cache | 7–13 | 0.01 | 11% | 29 May → | |
| mirage | 10–13 | 0.04 | 14% | 29 May → | |
| dust2 | 12–12 | -0.01 | 15% | 28 May → | |
| dust2 | 13–1 | -0.07 | 8% | 28 May → | |
| dust2 | 13–7 | -0.10 | 11% | 27 May → | |
| overpass | 13–6 | 0.03 | 7% | 27 May → | |
| inferno | 12–16 | -0.04 | 5% | 27 May → | |
| mirage | 11–13 | -0.04 | 11% | 26 May → | |
| nuke | 13–6 | -0.01 | 22% | 26 May → | |
| dust2 | 6–13 | -0.03 | 24% | 26 May → | |
| mirage | 13–11 | -0.09 | 12% | 25 May → | |
| dust2 | 13–11 | 0.03 | 10% | 25 May → | |
| mirage | 8–13 | -0.01 | 12% | 25 May → | |
| cache | 8–13 | 0.03 | 15% | 21 May → | |
| dust2 | 7–13 | -0.04 | 18% | 19 May → | |
| dust2 | 13–4 | -0.01 | 5% | 19 May → | |
| dust2 | 10–13 | -0.03 | 11% | 18 May → | |
| dust2 | 9–13 | -0.07 | 13% | 18 May → | |
| inferno | 4–9 | -0.22 | 0% | 18 May → | |
| inferno | 9–1 | -0.04 | 0% | 18 May → | |
| vertigo | 3–9 | -0.10 | 11% | 18 May → | |
| mirage | 13–11 | -0.08 | 21% | 17 May → | |
| cache | 7–13 | -0.02 | 4% | 17 May → | |
| dust2 | 6–13 | -0.06 | 16% | 17 May → | |
| dust2 | 4–13 | -0.06 | 7% | 17 May → | |
| nuke | 7–13 | -0.07 | 25% | 17 May → | |
| cache | 10–13 | -0.02 | 9% | 15 May → | |
| nuke | 13–10 | 0.02 | 10% | 15 May → | |
| mirage | 13–4 | -0.03 | 16% | 15 May → | |
| ancient | 12–12 | -0.06 | 17% | 15 May → | |
| cache | 13–8 | -0.10 | 13% | 15 May → | |
| nuke | 13–11 | 0.04 | 8% | 13 May → | |
| mirage | 2–13 | -0.09 | 33% | 13 May → | |
| office | 13–3 | 0.06 | 11% | 13 May → | |
| office | 13–3 | 0.01 | 5% | 13 May → | |
| nuke | 2–13 | -0.07 | 5% | 12 May → | |
| mirage | 12–12 | 0.03 | 18% | 12 May → | |
| mirage | 4–13 | -0.13 | 15% | 12 May → | |
| cache | 6–13 | 0.02 | 8% | 12 May → | |
| ancient | 10–13 | -0.08 | 11% | 11 May → | |
| cache | 13–9 | 0.03 | 21% | 11 May → | |
| nuke | 13–2 | 0.02 | 22% | 11 May → | |
| cache | 13–4 | -0.04 | 8% | 11 May → | |
| dust2 | 13–11 | 0.04 | 17% | 11 May → | |
| cache | 12–12 | -0.01 | 18% | 9 May → | |
| dust2 | 4–13 | -0.01 | 19% | 9 May → | |
| mirage | 13–10 | -0.05 | 30% | 9 May → | |
| cache | 13–10 | -0.05 | 18% | 9 May → | |
| cache | 13–4 | -0.00 | 15% | 9 May → | |
| cache | 5–13 | -0.01 | 10% | 4 May → | |
| dust2 | 9–13 | -0.06 | 21% | 28 Apr → | |
| nuke | 10–13 | -0.09 | 16% | 28 Apr → | |
| nuke | 8–13 | -0.08 | 13% | 28 Apr → | |
| train | 12–3 | -0.05 | 7% | 28 Apr → | |
| train | 13–6 | 0.05 | 17% | 26 Apr → | |
| train | 1–13 | -0.13 | 9% | 26 Apr → | |
| dust2 | 8–13 | -0.05 | 50% | 25 Apr → | |
| dust2 | 13–5 | -0.11 | 11% | 25 Apr → |
Match data via Leetify.