ArGOsT — CS2 Stats
RO76561199025605799[U:1:1065340071]Steam profile ↗
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 | 43.9% | 42.1% | 42.5% | above |
| Shot accuracy | 13.0% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.11 | 0.99 | 0.99 | above |
| Match win rate | 48.6% | 43.9% | 44.2% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 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 72% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
 dust2 | C | 33 | 12–21 | 36% | -0.02 |
 mirage | D | 15 | 5–10 | 33% | -0.02 |
 inferno | A | 14 | 8–6 | 57% | -0.01 |
 train | C | 8 | 3–5 | 38% | -0.01 |
 vertigo | B | 6 | 3–3 | 50% | 0.01 |
 anubis | A | 5 | 3–2 | 60% | 0.03 |
| jura | — | 4 | 3–1 | 75% | -0.03 |
 ancient | — | 3 | 1–2 | 33% | 0.01 |
| office | — | 3 | 1–2 | 33% | -0.00 |
 cache | — | 2 | 2–0 | 100% | -0.06 |
 overpass | — | 2 | 1–1 | 50% | 0.01 |
| warden | — | 1 | 0–1 | 0% | -0.03 |
 nuke | — | 1 | 1–0 | 100% | -0.06 |
| italy | — | 1 | 0–1 | 0% | -0.13 |
| grail | — | 1 | 0–1 | 0% | -0.07 |
| agency | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage 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 13.6861% — below the 15% 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 28.9206% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 12–12 | 0.01 | 7% | 23 Aug → | |
| mirage | 12–12 | -0.06 | 27% | 23 Aug → | |
| train | 13–6 | 0.06 | 15% | 13 Aug → | |
| train | 12–12 | -0.03 | 15% | 13 Aug → | |
| vertigo | 13–10 | 0.04 | 16% | 10 Aug → | |
| inferno | 13–10 | 0.01 | 17% | 10 Aug → | |
| dust2 | 7–13 | -0.02 | 19% | 10 Aug → | |
| mirage | 1–7 | 0.04 | 23% | 10 Aug → | |
| mirage | 2–13 | -0.09 | 0% | 17 Jul → | |
| dust2 | 13–1 | -0.03 | 0% | 17 Jul → | |
| mirage | 2–13 | -0.08 | 10% | 14 Jul → | |
| dust2 | 13–8 | -0.02 | 12% | 13 Jul → | |
| mirage | 8–13 | -0.06 | 8% | 13 Jul → | |
| inferno | 8–13 | -0.09 | 14% | 12 Jul → | |
| cache | 13–8 | -0.02 | 15% | 12 Jul → | |
| dust2 | 13–11 | -0.05 | 19% | 12 Jul → | |
| dust2 | 7–13 | -0.02 | 14% | 12 Jul → | |
| inferno | 8–2 | 0.02 | 17% | 12 Jul → | |
| dust2 | 12–16 | -0.04 | 11% | 5 Jul → | |
| mirage | 10–3 | -0.07 | 20% | 5 Jul → | |
| ancient | 13–10 | -0.03 | 9% | 5 Jul → | |
| dust2 | 12–12 | -0.01 | 15% | 28 Jun → | |
| mirage | 5–13 | 0.02 | 11% | 15 Jun → | |
| ancient | 7–13 | -0.00 | 11% | 10 Jun → | |
| inferno | 13–5 | 0.02 | 24% | 8 Jun → | |
| office | 13–6 | -0.00 | 13% | 1 Jun → | |
| dust2 | 10–13 | 0.01 | 14% | 1 Jun → | |
| dust2 | 8–13 | -0.05 | 10% | 29 Apr → | |
| cache | 13–10 | -0.09 | 17% | 29 Apr → | |
| train | 11–13 | -0.02 | 7% | 28 Apr → | |
| inferno | 4–13 | 0.01 | 11% | 28 Apr → | |
| inferno | 13–9 | -0.02 | 15% | 21 Apr → | |
| dust2 | 8–13 | -0.01 | 28% | 21 Apr → | |
| vertigo | 8–13 | -0.04 | 17% | 9 Apr → | |
| vertigo | 8–13 | -0.05 | 7% | 9 Apr → | |
| anubis | 13–2 | 0.08 | 13% | 6 Apr → | |
| anubis | 8–13 | 0.01 | 13% | 6 Apr → | |
| dust2 | 6–13 | -0.01 | 21% | 26 Mar → | |
| dust2 | 10–13 | -0.06 | 11% | 25 Mar → | |
| office | 8–13 | -0.00 | 18% | 25 Mar → | |
| dust2 | 13–9 | 0.00 | 13% | 25 Mar → | |
| inferno | 13–10 | -0.04 | 22% | 22 Mar → | |
| inferno | 13–11 | -0.05 | 10% | 22 Mar → | |
| dust2 | 13–11 | 0.01 | 14% | 22 Mar → | |
| dust2 | 12–12 | -0.08 | 5% | 8 Mar → | |
| train | 2–13 | -0.09 | 18% | 26 Feb → | |
| train | 7–13 | 0.04 | 9% | 25 Feb → | |
| vertigo | 13–4 | 0.04 | 13% | 19 Feb → | |
| inferno | 3–13 | -0.06 | 12% | 19 Feb → | |
| vertigo | 13–6 | -0.01 | 13% | 16 Feb → | |
| dust2 | 12–12 | -0.04 | 11% | 7 Feb → | |
| dust2 | 13–11 | -0.05 | 17% | 2 Feb → | |
| dust2 | 13–8 | 0.00 | 21% | 1 Feb → | |
| ancient | 6–13 | 0.06 | 16% | 29 Jan → | |
| mirage | 3–9 | 0.08 | 32% | 29 Jan → | |
| dust2 | 7–13 | -0.04 | 19% | 28 Jan → | |
| warden | 8–13 | -0.03 | 21% | 28 Jan → | |
| nuke | 13–11 | -0.06 | 20% | 23 Jan → | |
| train | 13–5 | -0.03 | 14% | 5 Jan → | |
| dust2 | 13–9 | 0.09 | 12% | 5 Jan → | |
| mirage | 4–13 | -0.06 | 18% | 4 Jan → | |
| dust2 | 13–10 | -0.01 | 15% | 22 Dec → | |
| dust2 | 10–13 | -0.04 | 30% | 10 Dec → | |
| inferno | 13–8 | 0.01 | 14% | 10 Dec → | |
| italy | 1–5 | -0.13 | 0% | 9 Dec → | |
| dust2 | 6–13 | -0.02 | 2% | 2 Dec → | |
| inferno | 7–13 | -0.03 | 16% | 2 Dec → | |
| dust2 | 5–13 | -0.08 | 14% | 25 Nov → | |
| overpass | 13–6 | 0.06 | 18% | 20 Nov → | |
| overpass | 9–13 | -0.04 | 21% | 20 Nov → | |
| dust2 | 13–11 | -0.01 | 15% | 15 Nov → | |
| train | 13–8 | -0.01 | 26% | 5 Nov → | |
| dust2 | 13–7 | 0.04 | 5% | 2 Nov → | |
| dust2 | 2–13 | -0.01 | 5% | 25 Oct → | |
| mirage | 13–2 | 0.10 | 23% | 14 Oct → | |
| inferno | 8–13 | 0.01 | 15% | 14 Oct → | |
| mirage | 8–5 | 0.01 | 10% | 17 Sept → | |
| dust2 | 4–13 | -0.06 | 7% | 14 Sept → | |
| grail | 12–12 | -0.07 | 8% | 27 Aug → | |
| anubis | 13–5 | 0.10 | 14% | 21 Aug → | |
| dust2 | 8–13 | 0.03 | 13% | 14 Aug → | |
| mirage | 1–12 | 0.01 | 16% | 13 Aug → | |
| inferno | 13–4 | 0.03 | 11% | 12 Aug → | |
| jura | 1–13 | 0.05 | 19% | 30 Jul → | |
| jura | 13–5 | -0.05 | 10% | 30 Jul → | |
| dust2 | 13–8 | -0.10 | 14% | 10 Jul → | |
| anubis | 2–13 | -0.05 | 21% | 10 Jul → | |
| inferno | 8–13 | -0.01 | 19% | 4 Jul → | |
| office | 1–13 | -0.01 | 17% | 27 Jun → | |
| mirage | 13–7 | -0.01 | 21% | 24 Jun → | |
| anubis | 13–10 | 0.03 | 19% | 24 Jun → | |
| mirage | 13–4 | 0.02 | 17% | 24 Jun → | |
| jura | 13–10 | -0.05 | 10% | 7 Jun → | |
| jura | 13–9 | -0.07 | 13% | 7 Jun → | |
| train | 4–13 | 0.01 | 15% | 29 May → | |
| mirage | 0–13 | -0.08 | 0% | 12 May → | |
| agency | 13–10 | -0.05 | 10% | 8 May → | |
| dust2 | 12–12 | 0.04 | 17% | 29 Apr → | |
| dust2 | 10–13 | 0.05 | 21% | 20 Apr → | |
| vertigo | 10–13 | 0.06 | 14% | 20 Apr → |
Match data via Leetify.