Spartan — CS2 Stats
76561198057119350[U:1:96853622]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 71% playstyle similarity
Most alike: opening-fight frequency, 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. 596ms 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 2.9/10 (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 |
|---|---|---|---|---|---|
 inferno | D | 30 | 9–21 | 30% | -0.01 |
 ancient | A | 18 | 11–7 | 61% | -0.02 |
 overpass | A | 16 | 9–7 | 56% | -0.01 |
 nuke | D | 12 | 4–8 | 33% | -0.02 |
 anubis | D | 11 | 3–8 | 27% | -0.02 |
 train | A | 8 | 5–3 | 63% | -0.01 |
 mirage | — | 3 | 2–1 | 67% | -0.02 |
 cache | — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
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 14.7871% — 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 0.3183 — below the 0.5 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 36.7686% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 3–13 | -0.08 | 33% | 19 Aug → | |
| ancient | 3–13 | -0.10 | 18% | 19 Aug → | |
| ancient | 10–13 | -0.07 | 14% | 17 Aug → | |
| anubis | 11–13 | -0.05 | 12% | 3 Aug → | |
| inferno | 9–13 | -0.01 | 12% | 3 Aug → | |
| ancient | 13–8 | 0.05 | 14% | 29 Jul → | |
| nuke | 13–8 | 0.05 | 9% | 29 Jul → | |
| anubis | 2–13 | -0.04 | 9% | 24 Jul → | |
| ancient | 13–8 | -0.02 | 8% | 24 Jul → | |
| cache | 4–13 | -0.06 | 15% | 24 Jul → | |
| cache | 7–13 | 0.04 | 22% | 9 Jul → | |
| inferno | 2–13 | -0.02 | 4% | 1 Jul → | |
| anubis | 13–6 | 0.08 | 23% | 22 Jun → | |
| inferno | 8–13 | -0.05 | 27% | 1 Jun → | |
| inferno | 11–13 | -0.04 | 17% | 28 May → | |
| anubis | 13–11 | -0.04 | 16% | 28 May → | |
| nuke | 15–15 | -0.05 | 12% | 26 May → | |
| overpass | 1–13 | -0.02 | 4% | 20 May → | |
| overpass | 9–13 | 0.01 | 14% | 19 May → | |
| ancient | 6–13 | -0.07 | 17% | 19 May → | |
| ancient | 13–8 | 0.06 | 17% | 18 May → | |
| nuke | 13–6 | -0.09 | 28% | 18 May → | |
| inferno | 3–13 | -0.00 | 9% | 18 May → | |
| overpass | 13–10 | -0.04 | 7% | 7 May → | |
| inferno | 2–13 | -0.04 | 19% | 30 Mar → | |
| ancient | 9–0 | -0.03 | 7% | 30 Mar → | |
| overpass | 13–10 | -0.01 | 17% | 27 Mar → | |
| inferno | 4–13 | -0.02 | 11% | 27 Mar → | |
| overpass | 13–9 | 0.10 | 13% | 14 Feb → | |
| inferno | 5–13 | -0.02 | 12% | 10 Feb → | |
| anubis | 6–13 | -0.02 | 6% | 6 Feb → | |
| ancient | 15–15 | -0.06 | 6% | 5 Feb → | |
| overpass | 11–13 | -0.01 | 14% | 2 Feb → | |
| inferno | 3–13 | -0.05 | 4% | 1 Feb → | |
| anubis | 7–13 | -0.06 | 10% | 28 Jan → | |
| inferno | 13–9 | 0.06 | 15% | 27 Jan → | |
| inferno | 6–13 | 0.02 | 17% | 25 Jan → | |
| inferno | 13–10 | 0.00 | 15% | 24 Jan → | |
| overpass | 13–5 | -0.05 | 14% | 19 Jan → | |
| inferno | 5–13 | -0.01 | 8% | 14 Jan → | |
| nuke | 8–13 | -0.06 | 6% | 5 Jan → | |
| inferno | 13–10 | -0.00 | 8% | 5 Jan → | |
| train | 3–13 | -0.07 | 11% | 3 Jan → | |
| inferno | 8–13 | 0.08 | 26% | 30 Dec → | |
| ancient | 7–13 | -0.03 | 13% | 30 Dec → | |
| ancient | 16–13 | -0.02 | 8% | 29 Dec → | |
| inferno | 12–16 | 0.04 | 11% | 22 Dec → | |
| overpass | 5–13 | -0.01 | 14% | 22 Dec → | |
| mirage | 13–9 | -0.01 | 11% | 17 Dec → | |
| inferno | 1–13 | -0.05 | 14% | 15 Dec → | |
| nuke | 7–13 | -0.03 | 4% | 15 Dec → | |
| mirage | 7–13 | -0.03 | 23% | 15 Dec → | |
| inferno | 13–8 | -0.05 | 19% | 26 Nov → | |
| overpass | 5–13 | -0.04 | 14% | 23 Nov → | |
| ancient | 4–13 | -0.11 | 6% | 16 Nov → | |
| mirage | 13–11 | -0.02 | 28% | 16 Nov → | |
| inferno | 10–13 | -0.03 | 10% | 16 Nov → | |
| train | 13–6 | -0.01 | 8% | 15 Nov → | |
| inferno | 11–13 | -0.02 | 8% | 15 Nov → | |
| overpass | 13–5 | -0.01 | 16% | 13 Nov → | |
| inferno | 13–0 | 0.06 | 13% | 13 Nov → | |
| train | 4–13 | -0.05 | 14% | 12 Nov → | |
| ancient | 13–6 | 0.03 | 6% | 12 Nov → | |
| overpass | 13–10 | -0.03 | 19% | 11 Nov → | |
| overpass | 13–11 | -0.02 | 8% | 31 Oct → | |
| overpass | 11–13 | -0.04 | 22% | 31 Oct → | |
| inferno | 13–6 | -0.00 | 14% | 22 Oct → | |
| ancient | 13–8 | 0.01 | 12% | 2 Aug → | |
| overpass | 13–8 | 0.00 | 16% | 2 Aug → | |
| overpass | 13–8 | 0.00 | 8% | 26 Jul → | |
| train | 13–3 | 0.02 | 10% | 26 Jul → | |
| overpass | 1–13 | -0.05 | 0% | 23 Jul → | |
| nuke | 13–9 | 0.02 | 7% | 27 Jun → | |
| ancient | 13–3 | 0.09 | 18% | 27 Jun → | |
| ancient | 13–6 | 0.01 | 7% | 26 Jun → | |
| inferno | 13–9 | 0.01 | 9% | 26 Jun → | |
| nuke | 8–13 | -0.05 | 14% | 26 Jun → | |
| anubis | 4–13 | 0.08 | 19% | 20 Jun → | |
| inferno | 4–13 | -0.06 | 18% | 19 Jun → | |
| nuke | 13–11 | 0.01 | 7% | 19 Jun → | |
| inferno | 3–13 | -0.06 | 4% | 16 Jun → | |
| train | 13–3 | 0.02 | 23% | 16 Jun → | |
| ancient | 13–6 | 0.02 | 10% | 13 Jun → | |
| nuke | 10–13 | 0.05 | 15% | 13 Jun → | |
| inferno | 16–14 | 0.02 | 11% | 12 Jun → | |
| train | 11–13 | -0.02 | 6% | 12 Jun → | |
| ancient | 4–13 | -0.05 | 5% | 8 Jun → | |
| nuke | 7–13 | 0.01 | 12% | 8 Jun → | |
| anubis | 13–11 | -0.02 | 12% | 7 Jun → | |
| train | 13–5 | 0.01 | 18% | 7 Jun → | |
| ancient | 16–14 | -0.04 | 16% | 7 Jun → | |
| train | 13–4 | 0.02 | 4% | 7 Jun → | |
| anubis | 8–13 | -0.02 | 13% | 7 Jun → | |
| inferno | 11–13 | 0.05 | 12% | 7 Jun → | |
| inferno | 2–13 | -0.02 | 5% | 5 Jun → | |
| nuke | 11–13 | -0.05 | 8% | 3 Jun → | |
| anubis | 0–13 | -0.14 | 8% | 2 Jun → | |
| nuke | 5–13 | -0.03 | 13% | 2 Jun → | |
| anubis | 8–13 | 0.00 | 14% | 1 Jun → | |
| inferno | 16–13 | 0.05 | 19% | 1 Jun → |
Match data via Leetify.
