First Day of School! — CS2 Stats
76561199090560382[U:1:1130294654]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 41.7% | 42.7% | 44.0% | 2.3% short |
| Shot accuracy | 5.5% | 10.8% | 11.6% | 6.1% short |
| Kill/death ratio | 1.12 | 1.00 | 1.03 | above |
| Match win rate | 48.3% | 44.1% | 45.1% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: +50pp 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 ropz 83% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 632ms 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 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 ancient | B | 24 | 12–12 | 50% | 0.00 |
 nuke | A | 22 | 14–8 | 64% | 0.02 |
 inferno | D | 10 | 2–8 | 20% | -0.02 |
 mirage | A | 10 | 6–4 | 60% | -0.01 |
 anubis | S | 8 | 6–2 | 75% | 0.06 |
 vertigo | C | 7 | 3–4 | 43% | 0.05 |
 train | S | 6 | 4–2 | 67% | 0.00 |
 overpass | C | 5 | 2–3 | 40% | -0.00 |
 dust2 | — | 3 | 1–2 | 33% | -0.03 |
 cache | — | 2 | 1–1 | 50% | 0.12 |
| office | — | 2 | 0–2 | 0% | 0.06 |
| grail | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 10). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 1.54 | 21.5 |
| Nuke | 2 | 100% | 0.84 | 17.0 |
| Anubis | 2 | 0% | 1.32 | 28.0 |
| Ancient | 2 | 0% | 0.53 | 8.0 |
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 13.7621° — 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 14.6271% — below the 15% 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 0.3757 — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | 0.06 | 19% | 28 Aug → | |
| anubis | 8–13 | 0.06 | 15% | 28 Aug → | |
| ancient | 13–8 | -0.02 | 10% | 28 Jul → | |
| anubis | 13–2 | 0.15 | 12% | 4 Jul → | |
| cache | 13–3 | 0.08 | 18% | 3 Jul → | |
| nuke | 12–12 | 0.10 | 13% | 30 Jun → | |
| overpass | 6–13 | 0.01 | 7% | 29 Jun → | |
| vertigo | 13–8 | 0.02 | 12% | 25 Jun → | |
| vertigo | 13–6 | 0.04 | 9% | 24 Jun → | |
| anubis | 13–9 | 0.10 | 13% | 20 Jun → | |
| train | 11–13 | 0.06 | 1% | 18 Jun → | |
| ancient | 6–13 | -0.04 | 13% | 18 Jun → | |
| nuke | 3–13 | 0.06 | 14% | 10 Jun → | |
| office | 10–13 | 0.05 | 15% | 10 Jun → | |
| vertigo | 13–5 | 0.24 | 13% | 10 Jun → | |
| cache | 11–13 | 0.16 | 21% | 8 Jun → | |
| inferno | 9–13 | 0.08 | 9% | 7 Jun → | |
| dust2 | 8–13 | -0.03 | 14% | 7 Mar → | |
| ancient | 3–13 | -0.05 | 35% | 6 Mar → | |
| dust2 | 13–8 | 0.02 | 23% | 2 Mar → | |
| inferno | 13–16 | 0.03 | 15% | 2 Mar → | |
| nuke | 13–9 | 0.08 | 9% | 20 Feb → | |
| ancient | 5–13 | -0.08 | 5% | 30 Jan → | |
| nuke | 5–13 | -0.09 | 15% | 30 Jan → | |
| nuke | 16–12 | -0.02 | 23% | 28 Jan → | |
| ancient | 9–13 | -0.06 | 16% | 24 Jan → | |
| mirage | 13–9 | 0.03 | 14% | 23 Jan → | |
| ancient | 13–6 | -0.00 | 13% | 23 Jan → | |
| vertigo | 8–13 | -0.00 | 14% | 21 Jan → | |
| nuke | 13–9 | 0.02 | 22% | 17 Jan → | |
| ancient | 5–13 | -0.08 | 20% | 8 Jan → | |
| ancient | 13–3 | 0.04 | 18% | 8 Jan → | |
| nuke | 13–6 | 0.06 | 23% | 7 Jan → | |
| inferno | 12–16 | 0.04 | 12% | 5 Jan → | |
| train | 13–6 | 0.03 | 12% | 11 Dec → | |
| train | 13–11 | -0.01 | 23% | 12 Nov → | |
| mirage | 4–13 | -0.07 | 11% | 10 Nov → | |
| ancient | 9–13 | 0.01 | 10% | 27 Oct → | |
| overpass | 13–5 | 0.03 | 12% | 27 Oct → | |
| ancient | 13–7 | -0.05 | 13% | 26 Oct → | |
| ancient | 5–13 | 0.05 | 12% | 22 Oct → | |
| mirage | 13–11 | -0.01 | 15% | 22 Oct → | |
| mirage | 16–14 | 0.05 | 15% | 21 Oct → | |
| mirage | 11–13 | -0.02 | 9% | 13 Oct → | |
| ancient | 6–13 | 0.02 | 16% | 13 Oct → | |
| nuke | 13–11 | -0.01 | 12% | 10 Oct → | |
| nuke | 13–4 | 0.06 | 31% | 10 Oct → | |
| ancient | 13–11 | 0.03 | 14% | 29 Sept → | |
| overpass | 1–13 | -0.07 | 13% | 29 Sept → | |
| mirage | 9–13 | -0.07 | 15% | 29 Sept → | |
| train | 1–7 | -0.09 | 14% | 1 Aug → | |
| nuke | 13–2 | 0.09 | 11% | 21 Jul → | |
| nuke | 6–13 | -0.02 | 26% | 17 Jul → | |
| ancient | 13–9 | 0.03 | 8% | 17 Jul → | |
| overpass | 7–13 | -0.09 | 25% | 16 Jul → | |
| nuke | 2–13 | -0.11 | 0% | 6 Jul → | |
| overpass | 13–8 | 0.12 | 9% | 30 Jun → | |
| grail | 2–7 | -0.01 | 14% | 30 Jun → | |
| ancient | 11–13 | -0.06 | 7% | 19 May → | |
| ancient | 11–13 | 0.01 | 12% | 17 May → | |
| ancient | 9–13 | 0.08 | 16% | 16 May → | |
| mirage | 13–9 | -0.00 | 10% | 14 May → | |
| ancient | 9–13 | 0.02 | 8% | 13 May → | |
| anubis | 7–13 | 0.01 | 8% | 13 May → | |
| nuke | 13–7 | -0.01 | 6% | 13 May → | |
| inferno | 5–13 | 0.00 | 2% | 12 May → | |
| nuke | 13–5 | 0.03 | 9% | 11 May → | |
| nuke | 4–13 | -0.07 | 7% | 11 May → | |
| train | 16–12 | 0.05 | 16% | 9 May → | |
| anubis | 13–11 | 0.05 | 8% | 9 May → | |
| ancient | 13–9 | -0.04 | 12% | 2 May → | |
| nuke | 13–9 | -0.01 | 7% | 23 Apr → | |
| vertigo | 8–8 | 0.12 | 11% | 19 Apr → | |
| anubis | 13–8 | 0.02 | 9% | 13 Apr → | |
| office | 6–13 | 0.07 | 18% | 13 Apr → | |
| vertigo | 2–13 | 0.05 | 13% | 13 Apr → | |
| vertigo | 0–9 | -0.14 | 14% | 13 Apr → | |
| inferno | 5–13 | -0.09 | 6% | 9 Apr → | |
| ancient | 13–7 | 0.00 | 6% | 8 Apr → | |
| dust2 | 7–13 | -0.09 | 18% | 8 Apr → | |
| anubis | 13–10 | 0.05 | 15% | 5 Apr → | |
| nuke | 14–16 | -0.00 | 13% | 3 Apr → | |
| ancient | 13–7 | 0.02 | 11% | 3 Apr → | |
| train | 13–8 | -0.01 | 10% | 3 Apr → | |
| mirage | 8–13 | 0.02 | 5% | 2 Apr → | |
| nuke | 13–4 | -0.02 | 8% | 2 Apr → | |
| inferno | 2–3 | -0.16 | 0% | 31 Mar → | |
| nuke | 8–8 | 0.15 | 8% | 28 Mar → | |
| inferno | 10–13 | -0.05 | 10% | 28 Mar → | |
| ancient | 13–8 | 0.09 | 13% | 26 Mar → | |
| inferno | 9–13 | -0.01 | 15% | 14 Mar → | |
| inferno | 13–9 | 0.02 | 10% | 14 Mar → | |
| mirage | 13–11 | -0.06 | 12% | 13 Mar → | |
| nuke | 13–7 | 0.03 | 11% | 13 Mar → | |
| mirage | 13–7 | 0.06 | 9% | 12 Mar → | |
| anubis | 13–10 | 0.03 | 12% | 10 Mar → | |
| ancient | 13–11 | 0.01 | 12% | 10 Mar → | |
| ancient | 16–12 | 0.09 | 17% | 10 Mar → | |
| inferno | 13–8 | -0.04 | 10% | 9 Mar → | |
| nuke | 13–5 | 0.03 | 11% | 9 Mar → |
Match data via Leetify.
