nonbinarypanda — CS2 Stats
US76561198873415948[U:1:913150220]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 NiKo 68% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 659ms 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 4.4/10 (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 |
|---|---|---|---|---|---|
 nuke | S | 23 | 15–8 | 65% | -0.00 |
 ancient | C | 14 | 6–8 | 43% | -0.02 |
 vertigo | C | 12 | 5–7 | 42% | -0.02 |
 mirage | A | 10 | 6–4 | 60% | -0.02 |
 overpass | A | 9 | 5–4 | 56% | -0.03 |
| office | D | 7 | 2–5 | 29% | -0.01 |
 dust2 | D | 6 | 2–4 | 33% | -0.01 |
 inferno | S | 6 | 4–2 | 67% | -0.04 |
 train | D | 6 | 0–6 | 0% | -0.04 |
 anubis | — | 3 | 0–3 | 0% | -0.06 |
 cache | — | 2 | 1–1 | 50% | 0.01 |
| agency | — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
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.
- 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 13.8502° — 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 10.3312% — 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 0.2467 — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 7–13 | -0.06 | 10% | 28 Aug → | |
| vertigo | 3–13 | -0.11 | 18% | 25 Aug → | |
| vertigo | 13–6 | 0.07 | 10% | 23 Aug → | |
| vertigo | 13–10 | -0.08 | 7% | 23 Aug → | |
| cache | 13–6 | 0.03 | 6% | 23 Aug → | |
| dust2 | 7–13 | -0.06 | 8% | 21 Aug → | |
| inferno | 3–13 | -0.06 | 25% | 21 Aug → | |
| office | 6–13 | -0.05 | 15% | 21 Aug → | |
| nuke | 13–8 | -0.01 | 22% | 19 Aug → | |
| office | 13–10 | 0.01 | 0% | 18 Aug → | |
| ancient | 5–13 | -0.06 | 7% | 18 Aug → | |
| nuke | 13–8 | 0.00 | 10% | 3 Aug → | |
| cache | 8–13 | -0.01 | 9% | 2 Aug → | |
| vertigo | 13–4 | -0.03 | 6% | 29 Jul → | |
| vertigo | 12–12 | -0.00 | 11% | 29 Jul → | |
| nuke | 16–14 | -0.04 | 11% | 11 Nov → | |
| ancient | 16–14 | 0.05 | 11% | 10 Nov → | |
| office | 11–13 | -0.04 | 8% | 10 Nov → | |
| mirage | 13–7 | -0.01 | 13% | 9 Nov → | |
| ancient | 14–16 | -0.02 | 12% | 9 Nov → | |
| office | 13–5 | -0.01 | 9% | 9 Nov → | |
| vertigo | 3–10 | -0.03 | 6% | 8 Nov → | |
| nuke | 16–12 | 0.06 | 7% | 8 Nov → | |
| mirage | 13–6 | 0.03 | 10% | 8 Nov → | |
| nuke | 13–9 | 0.01 | 7% | 8 Nov → | |
| vertigo | 13–8 | -0.01 | 12% | 8 Nov → | |
| mirage | 13–10 | -0.03 | 12% | 7 Nov → | |
| train | 10–13 | -0.02 | 13% | 7 Nov → | |
| ancient | 7–13 | -0.05 | 11% | 6 Nov → | |
| train | 10–13 | -0.02 | 11% | 5 Nov → | |
| nuke | 10–13 | 0.00 | 15% | 5 Nov → | |
| mirage | 5–13 | -0.03 | 16% | 5 Nov → | |
| nuke | 5–13 | 0.02 | 9% | 4 Nov → | |
| ancient | 13–9 | -0.03 | 6% | 4 Nov → | |
| mirage | 13–10 | -0.03 | 21% | 4 Nov → | |
| train | 8–13 | -0.04 | 8% | 4 Nov → | |
| train | 10–13 | -0.05 | 8% | 3 Nov → | |
| overpass | 13–5 | -0.07 | 2% | 3 Nov → | |
| office | 9–13 | -0.02 | 27% | 2 Nov → | |
| ancient | 1–11 | -0.05 | 9% | 2 Nov → | |
| ancient | 13–7 | 0.09 | 12% | 2 Nov → | |
| ancient | 10–13 | -0.05 | 9% | 2 Nov → | |
| mirage | 10–13 | -0.05 | 21% | 2 Nov → | |
| ancient | 13–2 | -0.01 | 3% | 31 Oct → | |
| nuke | 16–13 | -0.06 | 11% | 31 Oct → | |
| nuke | 7–13 | -0.09 | 10% | 31 Oct → | |
| mirage | 10–13 | -0.05 | 10% | 30 Oct → | |
| ancient | 9–13 | -0.06 | 12% | 30 Oct → | |
| ancient | 13–6 | 0.02 | 6% | 29 Oct → | |
| overpass | 13–8 | -0.03 | 12% | 28 Oct → | |
| inferno | 13–9 | -0.03 | 18% | 25 Oct → | |
| train | 10–13 | -0.04 | 14% | 25 Oct → | |
| mirage | 16–12 | -0.02 | 15% | 25 Oct → | |
| nuke | 16–14 | 0.01 | 12% | 24 Oct → | |
| ancient | 13–9 | -0.05 | 8% | 23 Oct → | |
| vertigo | 12–12 | 0.05 | 9% | 22 Oct → | |
| nuke | 13–11 | 0.02 | 15% | 22 Oct → | |
| dust2 | 13–6 | -0.01 | 13% | 22 Oct → | |
| dust2 | 15–15 | -0.04 | 21% | 22 Oct → | |
| inferno | 13–6 | -0.01 | 11% | 21 Oct → | |
| overpass | 7–13 | -0.08 | 8% | 21 Oct → | |
| nuke | 16–13 | -0.00 | 16% | 17 Oct → | |
| overpass | 8–13 | -0.00 | 9% | 16 Oct → | |
| ancient | 7–13 | -0.06 | 3% | 16 Oct → | |
| nuke | 13–11 | -0.01 | 14% | 14 Oct → | |
| nuke | 13–10 | 0.03 | 15% | 14 Oct → | |
| dust2 | 7–13 | -0.02 | 15% | 13 Oct → | |
| overpass | 4–0 | -0.00 | 0% | 13 Oct → | |
| vertigo | 13–8 | -0.06 | 16% | 13 Oct → | |
| vertigo | 3–8 | 0.04 | 13% | 13 Oct → | |
| nuke | 9–13 | 0.04 | 11% | 28 Jul → | |
| nuke | 7–13 | -0.01 | 8% | 27 Jul → | |
| overpass | 16–12 | 0.04 | 17% | 27 Jul → | |
| dust2 | 9–2 | 0.02 | 16% | 27 Jul → | |
| overpass | 6–13 | -0.10 | 16% | 23 Jul → | |
| ancient | 10–13 | -0.05 | 12% | 18 Jul → | |
| overpass | 7–13 | -0.05 | 19% | 18 Jul → | |
| inferno | 13–9 | -0.00 | 7% | 11 Jul → | |
| nuke | 9–3 | 0.15 | 2% | 11 Jul → | |
| agency | 13–7 | 0.02 | 13% | 9 Jul → | |
| overpass | 13–7 | 0.02 | 19% | 9 Jul → | |
| office | 6–13 | -0.02 | 13% | 7 Jul → | |
| nuke | 7–13 | -0.03 | 24% | 7 Jul → | |
| dust2 | 11–13 | 0.02 | 7% | 6 Jul → | |
| train | 7–13 | -0.05 | 0% | 6 Jul → | |
| nuke | 13–11 | -0.05 | 21% | 3 Jul → | |
| mirage | 13–9 | 0.04 | 9% | 2 Jul → | |
| inferno | 2–13 | -0.11 | 11% | 2 Jul → | |
| agency | 7–11 | -0.04 | 13% | 2 Jul → | |
| nuke | 13–8 | -0.04 | 16% | 1 Jul → | |
| inferno | 13–10 | -0.01 | 9% | 1 Jul → | |
| anubis | 5–13 | -0.05 | 14% | 30 Jun → | |
| mirage | 9–13 | -0.05 | 13% | 30 Jun → | |
| vertigo | 7–9 | -0.08 | 7% | 26 Jun → | |
| anubis | 8–13 | -0.05 | 16% | 26 Jun → | |
| anubis | 8–13 | -0.07 | 17% | 26 Jun → | |
| nuke | 4–13 | -0.05 | 19% | 25 Jun → | |
| office | 12–12 | 0.03 | 27% | 24 Jun → | |
| vertigo | 10–13 | -0.00 | 21% | 24 Jun → | |
| nuke | 13–3 | -0.01 | 19% | 23 Jun → |
Match data via Leetify.
