toaster — CS2 Stats
76561198179644665[U:1:219378937]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 | 58.0% | 42.1% | 42.5% | above |
| Shot accuracy | 0.1% | 12.1% | 10.9% | 10.8% short |
| Kill/death ratio | 0.93 | 0.99 | 0.99 | 0.06 short |
| Match win rate | 43.2% | 43.9% | 44.2% | 0.9% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
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: +10pp win rate · +0.03 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 ropz 74% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
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 3.7/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 69 | 32–37 | 46% | 0.01 |
 cache | A | 19 | 11–8 | 58% | -0.00 |
 mirage | A | 5 | 3–2 | 60% | -0.03 |
 ancient | — | 2 | 0–2 | 0% | 0.01 |
 train | — | 2 | 2–0 | 100% | 0.07 |
| office | — | 1 | 0–1 | 0% | 0.05 |
 dust2 | — | 1 | 1–0 | 100% | 0.02 |
| italy | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (46% over 69). Start with the 6 essential Nuke 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 24 | 50% | 1.37 | 15.8 |
| Mirage | 21 | 38% | 0.81 | 10.4 |
| Dust2 | 11 | 45% | 1.07 | 14.2 |
| Ancient | 11 | 36% | 1.09 | 14.6 |
| Inferno | 10 | 60% | 0.84 | 13.6 |
| Overpass | 2 | 0% | 0.60 | 11.0 |
| Anubis | 2 | 50% | 1.29 | 17.0 |
| Train | 2 | 100% | 1.02 | 15.0 |
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 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 753.6193ms — 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 0.0298 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.6% — 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.
46% win rate across 69 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–8 | 0.04 | 16% | 11 Jun → | |
| nuke | 13–6 | 0.11 | 21% | 11 Jun → | |
| nuke | 4–5 | 0.02 | 38% | 10 Jun → | |
| nuke | 5–13 | -0.09 | 13% | 10 Jun → | |
| mirage | 11–7 | -0.07 | 19% | 10 Jun → | |
| nuke | 7–13 | -0.07 | 21% | 9 Jun → | |
| nuke | 13–7 | -0.02 | 17% | 9 Jun → | |
| nuke | 13–10 | 0.03 | 17% | 9 Jun → | |
| nuke | 7–3 | 0.15 | 27% | 9 Jun → | |
| mirage | 11–13 | 0.02 | 27% | 8 Jun → | |
| nuke | 5–13 | -0.05 | 17% | 7 Jun → | |
| mirage | 13–7 | -0.01 | 10% | 6 Jun → | |
| nuke | 13–1 | -0.01 | 16% | 6 Jun → | |
| mirage | 12–5 | 0.00 | 17% | 6 Jun → | |
| nuke | 10–13 | 0.07 | 15% | 4 Jun → | |
| office | 10–13 | 0.05 | 14% | 4 Jun → | |
| nuke | 11–13 | -0.00 | 25% | 4 Jun → | |
| nuke | 13–10 | -0.07 | 16% | 2 Jun → | |
| mirage | 4–13 | -0.10 | 0% | 2 Jun → | |
| nuke | 10–13 | -0.03 | 22% | 1 Jun → | |
| nuke | 5–13 | 0.05 | 15% | 31 May → | |
| nuke | 13–7 | -0.07 | 18% | 30 May → | |
| ancient | 10–13 | -0.06 | 28% | 27 May → | |
| train | 13–1 | 0.12 | 33% | 26 May → | |
| dust2 | 13–7 | 0.02 | 20% | 26 May → | |
| nuke | 5–13 | -0.01 | 23% | 26 May → | |
| nuke | 12–12 | 0.13 | 17% | 25 May → | |
| nuke | 3–13 | -0.05 | 33% | 25 May → | |
| nuke | 13–3 | 0.03 | 26% | 25 May → | |
| ancient | 11–13 | 0.08 | 15% | 22 May → | |
| nuke | 9–13 | -0.01 | 23% | 22 May → | |
| cache | 12–12 | -0.05 | 22% | 22 May → | |
| nuke | 4–13 | -0.04 | 22% | 22 May → | |
| nuke | 10–13 | -0.03 | 17% | 20 May → | |
| nuke | 8–13 | -0.06 | 18% | 19 May → | |
| nuke | 13–7 | 0.00 | 11% | 19 May → | |
| nuke | 13–11 | 0.00 | 16% | 19 May → | |
| nuke | 6–13 | -0.02 | 18% | 18 May → | |
| nuke | 6–13 | -0.02 | 26% | 17 May → | |
| nuke | 4–13 | 0.03 | 21% | 17 May → | |
| nuke | 13–5 | 0.10 | 17% | 15 May → | |
| nuke | 13–7 | 0.04 | 13% | 15 May → | |
| nuke | 12–12 | 0.00 | 17% | 15 May → | |
| nuke | 13–8 | 0.09 | 17% | 15 May → | |
| nuke | 13–6 | -0.01 | 28% | 15 May → | |
| nuke | 13–3 | 0.03 | 21% | 15 May → | |
| nuke | 13–9 | 0.14 | 21% | 15 May → | |
| nuke | 13–4 | 0.02 | 24% | 14 May → | |
| cache | 8–13 | -0.01 | 15% | 13 May → | |
| nuke | 10–13 | -0.00 | 13% | 13 May → | |
| nuke | 2–13 | -0.10 | 5% | 13 May → | |
| nuke | 13–4 | 0.06 | 10% | 13 May → | |
| nuke | 6–13 | -0.01 | 12% | 13 May → | |
| nuke | 10–13 | 0.02 | 21% | 12 May → | |
| nuke | 13–9 | 0.10 | 17% | 12 May → | |
| nuke | 4–13 | -0.03 | 30% | 12 May → | |
| nuke | 12–12 | -0.03 | 12% | 11 May → | |
| nuke | 6–13 | -0.03 | 15% | 11 May → | |
| nuke | 7–13 | -0.06 | 14% | 10 May → | |
| nuke | 13–4 | 0.04 | 27% | 10 May → | |
| train | 13–10 | 0.01 | 25% | 8 May → | |
| nuke | 10–13 | -0.02 | 26% | 8 May → | |
| nuke | 11–13 | -0.04 | 15% | 8 May → | |
| nuke | 3–13 | -0.08 | 24% | 8 May → | |
| nuke | 2–11 | -0.07 | 31% | 8 May → | |
| nuke | 13–9 | 0.03 | 32% | 7 May → | |
| cache | 3–13 | -0.04 | 15% | 7 May → | |
| cache | 10–13 | 0.09 | 29% | 6 May → | |
| nuke | 13–3 | -0.05 | 25% | 6 May → | |
| cache | 7–13 | 0.01 | 20% | 5 May → | |
| nuke | 12–12 | 0.05 | 10% | 5 May → | |
| nuke | 9–13 | 0.02 | 22% | 5 May → | |
| nuke | 13–7 | -0.03 | 12% | 4 May → | |
| nuke | 13–6 | -0.02 | 11% | 4 May → | |
| nuke | 13–9 | 0.04 | 18% | 4 May → | |
| nuke | 10–3 | -0.01 | 20% | 4 May → | |
| cache | 13–11 | 0.05 | 13% | 4 May → | |
| nuke | 9–13 | -0.01 | 16% | 3 May → | |
| cache | 2–9 | -0.06 | 21% | 3 May → | |
| nuke | 9–8 | 0.02 | 22% | 3 May → | |
| italy | 10–13 | 0.01 | 19% | 2 May → | |
| nuke | 13–10 | 0.00 | 22% | 2 May → | |
| nuke | 13–8 | 0.09 | 17% | 2 May → | |
| cache | 10–13 | -0.06 | 30% | 1 May → | |
| cache | 13–5 | 0.02 | 16% | 1 May → | |
| nuke | 13–4 | 0.11 | 25% | 1 May → | |
| nuke | 13–9 | -0.00 | 18% | 1 May → | |
| nuke | 12–12 | 0.11 | 28% | 1 May → | |
| cache | 4–13 | -0.07 | 13% | 1 May → | |
| cache | 13–10 | 0.03 | 16% | 30 Apr → | |
| cache | 13–4 | 0.02 | 14% | 30 Apr → | |
| cache | 13–0 | 0.02 | 16% | 30 Apr → | |
| cache | 4–1 | -0.07 | 11% | 30 Apr → | |
| cache | 12–9 | -0.02 | 17% | 30 Apr → | |
| cache | 13–6 | 0.03 | 24% | 30 Apr → | |
| cache | 13–10 | -0.03 | 15% | 30 Apr → | |
| cache | 13–5 | 0.05 | 18% | 30 Apr → | |
| nuke | 13–8 | -0.02 | 11% | 30 Apr → | |
| nuke | 13–4 | 0.01 | 23% | 30 Apr → | |
| cache | 13–3 | 0.03 | 16% | 29 Apr → |
Match data via Leetify.