eBoy Mr. Wolf xD — CS2 Stats
76561199034086393[U:1:1073820665]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | 53.1% | 41.4% | 44.2% | above |
| Shot accuracy | 1.9% | 9.0% | 11.6% | 9.6% short |
| Kill/death ratio | 1.11 | 0.97 | 1.03 | above |
| Match win rate | 54.7% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 86% playstyle similarity
Most alike: positioning profile, 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 643ms 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 6.2/10 (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 | A | 25 | 14–11 | 56% | 0.02 |
 dust2 | C | 17 | 7–10 | 41% | 0.01 |
 nuke | A | 16 | 10–6 | 63% | 0.06 |
 cache | B | 15 | 7–8 | 47% | 0.03 |
 ancient | C | 12 | 5–7 | 42% | 0.02 |
 inferno | S | 7 | 6–1 | 86% | 0.04 |
 vertigo | — | 3 | 2–1 | 67% | 0.10 |
 anubis | — | 3 | 3–0 | 100% | -0.01 |
 train | — | 1 | 0–1 | 0% | 0.01 |
| office | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 11–13 | -0.06 | 23% | 29 Aug → | |
| mirage | 12–12 | 0.06 | 36% | 28 Aug → | |
| mirage | 13–3 | -0.07 | 43% | 28 Aug → | |
| mirage | 10–13 | -0.04 | 29% | 27 Aug → | |
| nuke | 13–3 | -0.01 | 25% | 25 Aug → | |
| inferno | 13–1 | 0.07 | 43% | 25 Aug → | |
| mirage | 12–16 | -0.04 | 37% | 25 Aug → | |
| mirage | 13–4 | 0.03 | 29% | 24 Aug → | |
| vertigo | 13–4 | 0.00 | 26% | 24 Aug → | |
| mirage | 13–3 | 0.09 | 21% | 24 Aug → | |
| train | 12–12 | 0.01 | 26% | 24 Aug → | |
| dust2 | 1–13 | -0.07 | 9% | 18 Aug → | |
| dust2 | 13–5 | 0.08 | 25% | 18 Aug → | |
| ancient | 7–13 | 0.03 | 26% | 18 Aug → | |
| mirage | 13–7 | 0.07 | 28% | 18 Aug → | |
| dust2 | 1–13 | -0.04 | 13% | 18 Aug → | |
| cache | 13–5 | 0.10 | 38% | 18 Aug → | |
| ancient | 13–16 | 0.04 | 18% | 18 Aug → | |
| nuke | 13–9 | 0.06 | 19% | 17 Aug → | |
| ancient | 13–9 | 0.00 | 20% | 17 Aug → | |
| nuke | 2–13 | 0.09 | 20% | 17 Aug → | |
| inferno | 13–8 | 0.07 | 17% | 11 Aug → | |
| mirage | 13–11 | 0.00 | 21% | 11 Aug → | |
| dust2 | 13–7 | 0.03 | 10% | 10 Aug → | |
| nuke | 13–6 | 0.07 | 19% | 9 Aug → | |
| nuke | 13–4 | 0.00 | 16% | 8 Aug → | |
| nuke | 11–13 | -0.04 | 27% | 8 Aug → | |
| mirage | 13–11 | 0.07 | 14% | 8 Aug → | |
| ancient | 15–15 | -0.03 | 15% | 8 Aug → | |
| cache | 13–5 | 0.09 | 28% | 8 Aug → | |
| cache | 11–13 | -0.00 | 16% | 8 Aug → | |
| mirage | 13–5 | 0.05 | 21% | 8 Aug → | |
| dust2 | 4–13 | -0.02 | 48% | 8 Aug → | |
| nuke | 13–11 | 0.02 | 38% | 8 Aug → | |
| inferno | 16–14 | -0.07 | 14% | 8 Aug → | |
| mirage | 9–13 | -0.01 | 18% | 7 Aug → | |
| mirage | 13–6 | 0.04 | 21% | 7 Aug → | |
| cache | 13–5 | 0.12 | 45% | 7 Aug → | |
| cache | 10–13 | -0.01 | 13% | 6 Aug → | |
| dust2 | 13–3 | -0.00 | 18% | 5 Aug → | |
| dust2 | 13–11 | 0.07 | 27% | 4 Aug → | |
| cache | 13–4 | 0.16 | 29% | 4 Aug → | |
| ancient | 13–11 | 0.07 | 18% | 3 Aug → | |
| nuke | 7–13 | 0.01 | 31% | 3 Aug → | |
| cache | 13–4 | 0.11 | 21% | 3 Aug → | |
| anubis | 8–3 | 0.02 | 18% | 2 Aug → | |
| vertigo | 9–7 | 0.17 | 34% | 2 Aug → | |
| nuke | 9–7 | 0.12 | 26% | 2 Aug → | |
| inferno | 9–5 | 0.17 | 29% | 2 Aug → | |
| cache | 11–13 | 0.03 | 23% | 2 Aug → | |
| nuke | 13–4 | 0.15 | 15% | 1 Aug → | |
| inferno | 13–5 | 0.03 | 15% | 1 Aug → | |
| office | 13–10 | 0.06 | 38% | 1 Aug → | |
| ancient | 13–3 | 0.04 | 46% | 1 Aug → | |
| inferno | 11–13 | 0.08 | 40% | 1 Aug → | |
| vertigo | 10–13 | 0.12 | 11% | 1 Aug → | |
| mirage | 12–12 | 0.12 | 33% | 1 Aug → | |
| nuke | 13–5 | 0.23 | 22% | 1 Aug → | |
| dust2 | 13–3 | 0.04 | 14% | 1 Aug → | |
| dust2 | 5–13 | -0.05 | 14% | 31 Jul → | |
| mirage | 15–15 | -0.03 | 11% | 31 Jul → | |
| anubis | 13–5 | 0.02 | 14% | 31 Jul → | |
| mirage | 1–7 | -0.01 | 29% | 31 Jul → | |
| mirage | 15–15 | -0.02 | 14% | 31 Jul → | |
| dust2 | 7–13 | 0.01 | 37% | 31 Jul → | |
| cache | 5–13 | -0.08 | 14% | 31 Jul → | |
| dust2 | 2–13 | -0.04 | 25% | 31 Jul → | |
| ancient | 16–12 | 0.09 | 23% | 31 Jul → | |
| mirage | 13–10 | 0.03 | 8% | 31 Jul → | |
| cache | 13–11 | 0.07 | 29% | 29 Jul → | |
| dust2 | 2–13 | -0.02 | 21% | 25 Jul → | |
| nuke | 9–13 | 0.09 | 18% | 25 Jul → | |
| mirage | 13–1 | 0.04 | 19% | 25 Jul → | |
| cache | 8–13 | 0.03 | 22% | 24 Jul → | |
| mirage | 13–7 | 0.03 | 24% | 22 Jul → | |
| mirage | 13–5 | -0.00 | 18% | 22 Jul → | |
| mirage | 11–13 | 0.02 | 20% | 21 Jul → | |
| ancient | 12–16 | 0.01 | 4% | 21 Jul → | |
| ancient | 13–5 | 0.07 | 20% | 21 Jul → | |
| dust2 | 12–16 | 0.01 | 25% | 21 Jul → | |
| mirage | 8–13 | -0.02 | 22% | 21 Jul → | |
| nuke | 13–9 | 0.10 | 25% | 21 Jul → | |
| dust2 | 10–13 | 0.03 | 26% | 21 Jul → | |
| anubis | 13–8 | -0.05 | 24% | 20 Jul → | |
| inferno | 13–9 | -0.05 | 17% | 19 Jul → | |
| cache | 13–8 | -0.07 | 13% | 18 Jul → | |
| mirage | 13–9 | 0.07 | 29% | 18 Jul → | |
| ancient | 14–16 | 0.04 | 25% | 18 Jul → | |
| mirage | 5–13 | -0.02 | 43% | 18 Jul → | |
| cache | 5–13 | -0.07 | 29% | 17 Jul → | |
| dust2 | 13–3 | 0.11 | 51% | 17 Jul → | |
| nuke | 10–13 | 0.01 | 20% | 17 Jul → | |
| dust2 | 12–12 | 0.11 | 18% | 15 Jul → | |
| mirage | 13–2 | 0.09 | 41% | 15 Jul → | |
| cache | 2–13 | -0.01 | 20% | 15 Jul → | |
| nuke | 11–13 | -0.01 | 30% | 15 Jul → | |
| ancient | 8–13 | -0.03 | 24% | 13 Jul → | |
| dust2 | 8–3 | -0.05 | 25% | 13 Jul → | |
| cache | 7–13 | -0.01 | 19% | 12 Jul → | |
| nuke | 10–1 | 0.00 | 70% | 12 Jul → |
Match data via Leetify.