SnowBlind — CS2 Stats
76561198350370050[U:1:390104322]
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 73% playstyle similarity
Most alike: opening-duel success, 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
Reaction time. 584ms 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 3.6/10 (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 | D | 18 | 6–12 | 33% | -0.01 |
 cache | C | 18 | 7–11 | 39% | -0.01 |
 mirage | C | 14 | 5–9 | 36% | 0.01 |
 nuke | B | 11 | 5–6 | 45% | -0.01 |
 inferno | B | 10 | 5–5 | 50% | -0.03 |
| office | B | 10 | 5–5 | 50% | -0.01 |
 anubis | D | 5 | 0–5 | 0% | -0.01 |
 train | — | 4 | 2–2 | 50% | -0.03 |
 overpass | — | 4 | 3–1 | 75% | 0.07 |
 vertigo | — | 3 | 1–2 | 33% | -0.02 |
| shelter | — | 1 | 0–1 | 0% | -0.03 |
| debris | — | 1 | 0–1 | 0% | -0.06 |
 ancient | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis 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.
- 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 0.4258 — 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 29.5818% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 14–16 | -0.06 | 19% | 27 Aug → | |
| dust2 | 4–13 | -0.12 | 10% | 27 Aug → | |
| inferno | 7–13 | -0.10 | 13% | 25 Aug → | |
| mirage | 9–13 | 0.02 | 30% | 12 Aug → | |
| dust2 | 6–13 | -0.05 | 18% | 10 Aug → | |
| dust2 | 16–14 | -0.01 | 17% | 9 Aug → | |
| cache | 9–13 | -0.01 | 24% | 8 Aug → | |
| train | 13–9 | -0.06 | 21% | 6 Aug → | |
| nuke | 3–13 | -0.07 | 19% | 29 Jul → | |
| dust2 | 11–13 | 0.00 | 21% | 29 Jul → | |
| dust2 | 6–13 | -0.05 | 9% | 26 Jul → | |
| mirage | 7–13 | -0.04 | 12% | 26 Jul → | |
| inferno | 13–8 | -0.01 | 16% | 24 Jul → | |
| mirage | 1–13 | -0.04 | 12% | 24 Jul → | |
| nuke | 13–8 | -0.02 | 21% | 24 Jul → | |
| nuke | 10–13 | 0.02 | 22% | 20 Jul → | |
| dust2 | 8–13 | -0.04 | 13% | 20 Jul → | |
| inferno | 4–13 | -0.06 | 27% | 13 Jul → | |
| anubis | 11–13 | 0.01 | 14% | 12 Jul → | |
| office | 13–11 | -0.06 | 25% | 12 Jul → | |
| shelter | 6–13 | -0.03 | 24% | 12 Jul → | |
| office | 13–11 | 0.07 | 22% | 11 Jul → | |
| dust2 | 6–13 | -0.05 | 26% | 11 Jul → | |
| train | 13–9 | -0.00 | 17% | 11 Jul → | |
| inferno | 13–7 | -0.07 | 11% | 11 Jul → | |
| dust2 | 12–12 | -0.01 | 29% | 9 Jul → | |
| mirage | 4–13 | -0.06 | 16% | 9 Jul → | |
| cache | 9–13 | -0.03 | 21% | 9 Jul → | |
| debris | 8–8 | -0.06 | 9% | 9 Jul → | |
| mirage | 13–8 | 0.01 | 16% | 8 Jul → | |
| cache | 4–4 | -0.03 | 18% | 8 Jul → | |
| office | 13–8 | -0.08 | 14% | 8 Jul → | |
| inferno | 13–8 | 0.02 | 20% | 7 Jul → | |
| mirage | 13–8 | 0.06 | 23% | 7 Jul → | |
| dust2 | 13–10 | 0.03 | 27% | 6 Jul → | |
| cache | 2–13 | -0.00 | 18% | 6 Jul → | |
| cache | 12–12 | -0.01 | 14% | 5 Jul → | |
| vertigo | 11–13 | -0.05 | 8% | 5 Jul → | |
| dust2 | 13–9 | 0.01 | 15% | 4 Jul → | |
| cache | 12–12 | -0.03 | 16% | 2 Jul → | |
| cache | 2–13 | -0.08 | 14% | 1 Jul → | |
| cache | 13–5 | -0.03 | 17% | 1 Jul → | |
| overpass | 3–13 | 0.04 | 21% | 30 Jun → | |
| office | 4–13 | -0.03 | 10% | 30 Jun → | |
| cache | 12–12 | 0.03 | 9% | 29 Jun → | |
| cache | 13–3 | -0.01 | 25% | 27 Jun → | |
| inferno | 4–9 | -0.14 | 38% | 23 Jun → | |
| nuke | 13–9 | -0.04 | 22% | 23 Jun → | |
| inferno | 8–8 | -0.01 | 50% | 24 May → | |
| office | 4–2 | -0.08 | 0% | 24 May → | |
| nuke | 13–2 | 0.06 | 21% | 24 May → | |
| nuke | 8–13 | -0.06 | 33% | 23 May → | |
| mirage | 13–5 | 0.06 | 14% | 14 May → | |
| nuke | 13–10 | 0.04 | 18% | 14 May → | |
| mirage | 13–2 | 0.02 | 19% | 14 May → | |
| nuke | 11–13 | 0.01 | 28% | 12 May → | |
| mirage | 4–13 | 0.04 | 17% | 12 May → | |
| cache | 13–11 | -0.02 | 17% | 11 May → | |
| cache | 13–10 | 0.07 | 21% | 10 May → | |
| office | 6–13 | 0.03 | 25% | 10 May → | |
| dust2 | 6–13 | -0.07 | 16% | 9 May → | |
| cache | 13–9 | 0.09 | 15% | 8 May → | |
| cache | 5–13 | 0.03 | 9% | 8 May → | |
| dust2 | 7–13 | 0.01 | 20% | 7 May → | |
| cache | 13–9 | -0.04 | 15% | 4 May → | |
| cache | 6–13 | 0.01 | 9% | 4 May → | |
| cache | 11–13 | -0.02 | 8% | 4 May → | |
| cache | 7–13 | -0.01 | 16% | 2 May → | |
| dust2 | 10–13 | 0.01 | 22% | 28 Apr → | |
| inferno | 9–2 | 0.03 | 14% | 28 Apr → | |
| train | 11–13 | -0.05 | 16% | 26 Apr → | |
| overpass | 10–8 | 0.10 | 14% | 26 Apr → | |
| anubis | 5–13 | 0.04 | 33% | 25 Apr → | |
| train | 5–13 | -0.01 | 19% | 25 Apr → | |
| overpass | 13–11 | 0.06 | 25% | 18 Apr → | |
| mirage | 13–6 | 0.03 | 22% | 18 Apr → | |
| nuke | 7–13 | -0.01 | 13% | 18 Apr → | |
| vertigo | 13–6 | 0.01 | 21% | 10 Apr → | |
| dust2 | 12–12 | -0.03 | 17% | 8 Apr → | |
| ancient | 13–9 | -0.03 | 13% | 8 Apr → | |
| dust2 | 13–9 | -0.00 | 33% | 2 Apr → | |
| anubis | 10–13 | -0.08 | 22% | 2 Apr → | |
| inferno | 13–3 | 0.09 | 16% | 28 Mar → | |
| dust2 | 13–6 | 0.09 | 18% | 28 Mar → | |
| vertigo | 8–13 | -0.02 | 19% | 28 Mar → | |
| nuke | 10–13 | -0.06 | 15% | 16 Mar → | |
| dust2 | 4–13 | -0.04 | 8% | 14 Mar → | |
| mirage | 9–13 | -0.02 | 11% | 14 Mar → | |
| office | 13–9 | 0.15 | 18% | 11 Mar → | |
| office | 5–13 | -0.08 | 16% | 11 Mar → | |
| nuke | 13–6 | -0.02 | 24% | 1 Mar → | |
| mirage | 12–12 | 0.04 | 23% | 1 Mar → | |
| anubis | 0–10 | -0.01 | 46% | 1 Mar → | |
| inferno | 11–13 | -0.05 | 14% | 25 Feb → | |
| anubis | 8–13 | 0.01 | 26% | 25 Feb → | |
| dust2 | 13–5 | 0.06 | 10% | 15 Feb → | |
| office | 12–12 | -0.01 | 29% | 1 Feb → | |
| office | 9–13 | -0.02 | 17% | 1 Feb → | |
| mirage | 11–13 | 0.04 | 16% | 1 Feb → | |
| overpass | 13–5 | 0.05 | 17% | 29 Jan → |
Match data via Leetify.