BlindeSchoki — CS2 Stats
76561198214740043[U:1:254474315]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 34.8% | 41.7% | 44.1% | 9.3% short |
| Shot accuracy | 17.2% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.12 | 0.97 | 1.03 | above |
| Match win rate | 65.7% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple band 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: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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. 626ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 mirage | B | 22 | 10–12 | 45% | 0.03 |
 dust2 | C | 15 | 6–9 | 40% | 0.01 |
 cache | C | 11 | 4–7 | 36% | 0.02 |
 nuke | B | 11 | 5–6 | 45% | 0.01 |
 anubis | B | 8 | 4–4 | 50% | 0.04 |
 ancient | C | 7 | 3–4 | 43% | 0.00 |
| office | C | 7 | 3–4 | 43% | -0.01 |
 inferno | D | 5 | 1–4 | 20% | -0.04 |
 train | D | 5 | 1–4 | 20% | -0.01 |
 vertigo | A | 5 | 3–2 | 60% | 0.01 |
 overpass | — | 4 | 2–2 | 50% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). 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.
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
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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | 0.05 | 15% | 29 Aug → | |
| mirage | 13–2 | 0.13 | 45% | 29 Aug → | |
| cache | 6–13 | 0.02 | 16% | 28 Aug → | |
| mirage | 16–12 | 0.05 | 18% | 28 Aug → | |
| cache | 14–16 | 0.00 | 17% | 28 Aug → | |
| ancient | 13–11 | 0.01 | 18% | 22 Aug → | |
| inferno | 0–13 | -0.07 | 15% | 22 Aug → | |
| dust2 | 13–4 | 0.10 | 11% | 22 Aug → | |
| dust2 | 9–13 | 0.03 | 16% | 22 Aug → | |
| dust2 | 15–15 | 0.05 | 23% | 17 Aug → | |
| dust2 | 13–9 | -0.04 | 19% | 17 Aug → | |
| mirage | 4–13 | 0.04 | 32% | 17 Aug → | |
| mirage | 13–1 | -0.01 | 10% | 17 Aug → | |
| ancient | 15–15 | 0.01 | 17% | 7 Aug → | |
| dust2 | 13–16 | 0.01 | 21% | 7 Aug → | |
| mirage | 13–10 | 0.05 | 33% | 3 Aug → | |
| mirage | 9–13 | -0.03 | 14% | 3 Aug → | |
| mirage | 7–13 | 0.02 | 7% | 2 Aug → | |
| nuke | 2–13 | -0.03 | 18% | 2 Aug → | |
| cache | 13–5 | 0.03 | 22% | 30 Jul → | |
| dust2 | 13–7 | 0.05 | 14% | 30 Jul → | |
| mirage | 16–12 | 0.05 | 23% | 30 Jul → | |
| nuke | 13–10 | -0.02 | 18% | 29 Jul → | |
| dust2 | 13–2 | 0.09 | 11% | 28 Jul → | |
| ancient | 16–14 | 0.11 | 22% | 28 Jul → | |
| dust2 | 5–13 | -0.01 | 11% | 28 Jul → | |
| nuke | 3–7 | 0.00 | 18% | 28 Jul → | |
| dust2 | 12–16 | -0.02 | 16% | 27 Jul → | |
| ancient | 13–5 | -0.00 | 16% | 25 Jul → | |
| inferno | 15–15 | 0.06 | 17% | 25 Jul → | |
| nuke | 13–8 | -0.01 | 20% | 25 Jul → | |
| anubis | 13–3 | 0.15 | 32% | 23 Jul → | |
| nuke | 3–13 | 0.07 | 11% | 23 Jul → | |
| mirage | 1–13 | -0.03 | 32% | 23 Jul → | |
| mirage | 14–16 | 0.09 | 24% | 23 Jul → | |
| mirage | 4–13 | -0.02 | 18% | 22 Jul → | |
| mirage | 13–3 | 0.04 | 19% | 22 Jul → | |
| dust2 | 9–1 | -0.03 | 8% | 15 Jul → | |
| nuke | 13–1 | -0.02 | 5% | 15 Jul → | |
| anubis | 7–13 | -0.01 | 18% | 15 Jul → | |
| cache | 13–7 | -0.03 | 6% | 10 Jul → | |
| cache | 2–13 | -0.02 | 6% | 10 Jul → | |
| office | 1–13 | -0.02 | 0% | 10 Jul → | |
| office | 13–8 | 0.00 | 12% | 10 Jul → | |
| office | 4–13 | -0.06 | 18% | 10 Jul → | |
| mirage | 13–6 | 0.03 | 15% | 6 Jul → | |
| cache | 9–13 | 0.09 | 6% | 6 Jul → | |
| cache | 11–13 | 0.06 | 14% | 6 Jul → | |
| mirage | 9–13 | 0.03 | 33% | 27 Jun → | |
| overpass | 13–6 | 0.03 | 15% | 27 Jun → | |
| dust2 | 13–1 | 0.04 | 32% | 27 Jun → | |
| train | 9–13 | -0.06 | 5% | 18 Jun → | |
| train | 12–12 | -0.03 | 11% | 18 Jun → | |
| nuke | 13–7 | 0.04 | 19% | 13 Jun → | |
| mirage | 13–6 | 0.11 | 17% | 12 Jun → | |
| nuke | 13–5 | 0.14 | 17% | 12 Jun → | |
| ancient | 3–13 | -0.02 | 23% | 12 Jun → | |
| nuke | 11–13 | 0.01 | 18% | 3 Jun → | |
| inferno | 7–13 | -0.06 | 15% | 3 Jun → | |
| vertigo | 13–11 | -0.03 | 17% | 3 Jun → | |
| vertigo | 10–13 | -0.10 | 13% | 3 Jun → | |
| vertigo | 0–2 | 0.02 | 33% | 3 Jun → | |
| anubis | 13–10 | 0.02 | 17% | 28 May → | |
| anubis | 11–13 | 0.03 | 19% | 28 May → | |
| anubis | 8–13 | 0.02 | 35% | 28 May → | |
| anubis | 4–13 | -0.01 | 15% | 28 May → | |
| mirage | 15–15 | 0.03 | 25% | 20 May → | |
| dust2 | 9–13 | -0.00 | 18% | 20 May → | |
| mirage | 9–13 | 0.05 | 23% | 20 May → | |
| office | 13–8 | 0.04 | 12% | 14 May → | |
| office | 12–12 | 0.03 | 24% | 14 May → | |
| mirage | 13–11 | -0.02 | 24% | 6 May → | |
| cache | 13–6 | 0.01 | 8% | 6 May → | |
| cache | 13–11 | 0.04 | 19% | 6 May → | |
| dust2 | 9–13 | -0.02 | 15% | 29 Apr → | |
| cache | 12–12 | 0.05 | 21% | 29 Apr → | |
| cache | 3–8 | -0.01 | 33% | 29 Apr → | |
| inferno | 6–13 | -0.06 | 24% | 22 Apr → | |
| mirage | 6–13 | -0.02 | 23% | 22 Apr → | |
| train | 13–3 | 0.13 | 12% | 22 Apr → | |
| train | 11–13 | -0.05 | 21% | 22 Apr → | |
| nuke | 6–13 | -0.06 | 21% | 15 Apr → | |
| nuke | 13–16 | -0.04 | 26% | 15 Apr → | |
| ancient | 5–13 | -0.06 | 23% | 15 Apr → | |
| mirage | 15–15 | -0.02 | 16% | 10 Apr → | |
| vertigo | 13–3 | 0.11 | 17% | 10 Apr → | |
| vertigo | 13–8 | 0.03 | 27% | 10 Apr → | |
| mirage | 5–13 | 0.00 | 27% | 1 Apr → | |
| anubis | 13–3 | 0.06 | 30% | 1 Apr → | |
| anubis | 13–11 | 0.06 | 11% | 1 Apr → | |
| inferno | 13–5 | -0.06 | 32% | 25 Mar → | |
| overpass | 10–13 | -0.02 | 16% | 25 Mar → | |
| dust2 | 11–13 | -0.10 | 16% | 19 Mar → | |
| office | 10–13 | -0.01 | 18% | 19 Mar → | |
| office | 13–8 | -0.03 | 16% | 19 Mar → | |
| ancient | 11–13 | -0.04 | 12% | 15 Mar → | |
| dust2 | 7–13 | 0.01 | 14% | 15 Mar → | |
| overpass | 10–13 | -0.03 | 16% | 15 Mar → | |
| overpass | 13–4 | 0.03 | 14% | 15 Mar → | |
| train | 12–12 | -0.02 | 19% | 2 Mar → |
Match data via Leetify.