Don_Mika — CS2 Stats
76561199029805628[U:1:1069539900]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 56.7% | 52.8% |
| Shot accuracy | 0.0% | 13.7% |
| Kill/death ratio | 1.15 | 1.08 |
| Match win rate | 48.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 97% playstyle similarity
Most alike: aim profile, utility contribution.
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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
Reaction time. 572ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 24 | 12–12 | 50% | 0.03 |
 anubis | C | 20 | 7–13 | 35% | 0.03 |
 dust2 | B | 19 | 10–9 | 53% | 0.03 |
 nuke | A | 11 | 6–5 | 55% | 0.02 |
 ancient | C | 11 | 4–7 | 36% | -0.00 |
 mirage | C | 8 | 3–5 | 38% | 0.02 |
 overpass | — | 3 | 1–2 | 33% | -0.02 |
 cache | — | 2 | 1–1 | 50% | 0.04 |
| warden | — | 1 | 1–0 | 100% | 0.14 |
| poseidon | — | 1 | 1–0 | 100% | 0.21 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (35% over 20). 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.
- 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 37.1375% — 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.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | 0.01 | 15% | 13 Jul → | |
| inferno | 5–13 | 0.04 | 44% | 13 Jul → | |
| dust2 | 5–13 | -0.03 | 26% | 13 Jul → | |
| dust2 | 13–3 | 0.09 | 23% | 13 Jul → | |
| cache | 6–13 | 0.07 | 18% | 13 Jul → | |
| inferno | 16–14 | 0.05 | 23% | 12 Jul → | |
| dust2 | 13–3 | 0.28 | 27% | 12 Jul → | |
| nuke | 13–11 | 0.01 | 14% | 12 Jul → | |
| warden | 13–8 | 0.14 | 31% | 25 Jun → | |
| anubis | 8–13 | 0.07 | 34% | 25 Jun → | |
| dust2 | 13–16 | -0.02 | 28% | 25 Jun → | |
| anubis | 2–13 | -0.01 | 19% | 22 Jun → | |
| inferno | 5–13 | -0.07 | 13% | 21 Jun → | |
| mirage | 13–11 | 0.06 | 25% | 20 Jun → | |
| anubis | 13–4 | 0.24 | 27% | 19 Jun → | |
| mirage | 3–13 | 0.02 | 25% | 19 Jun → | |
| anubis | 12–16 | 0.07 | 21% | 14 Jun → | |
| nuke | 7–13 | 0.03 | 26% | 14 Jun → | |
| nuke | 3–13 | 0.03 | 39% | 14 Jun → | |
| inferno | 13–6 | 0.06 | 25% | 13 Jun → | |
| anubis | 13–6 | -0.05 | 18% | 13 Jun → | |
| inferno | 1–13 | 0.01 | 17% | 31 May → | |
| inferno | 10–13 | -0.02 | 16% | 29 May → | |
| ancient | 13–10 | 0.04 | 17% | 29 May → | |
| dust2 | 13–7 | 0.07 | 20% | 28 May → | |
| overpass | 13–10 | 0.01 | 6% | 27 May → | |
| dust2 | 5–13 | -0.02 | 20% | 26 May → | |
| dust2 | 11–13 | -0.02 | 20% | 26 May → | |
| dust2 | 13–11 | 0.03 | 22% | 26 May → | |
| anubis | 13–4 | 0.07 | 12% | 25 May → | |
| nuke | 10–1 | -0.02 | 13% | 25 May → | |
| nuke | 13–10 | 0.05 | 25% | 24 May → | |
| dust2 | 13–5 | 0.15 | 23% | 24 May → | |
| anubis | 13–9 | 0.09 | 20% | 23 May → | |
| dust2 | 13–10 | 0.01 | 19% | 21 May → | |
| ancient | 9–13 | -0.00 | 19% | 21 May → | |
| anubis | 13–10 | 0.06 | 17% | 21 May → | |
| ancient | 13–11 | -0.02 | 11% | 18 May → | |
| poseidon | 9–3 | 0.21 | 32% | 18 May → | |
| anubis | 10–13 | 0.01 | 18% | 18 May → | |
| ancient | 9–13 | 0.05 | 11% | 17 May → | |
| dust2 | 13–11 | 0.07 | 18% | 17 May → | |
| nuke | 13–6 | 0.01 | 44% | 17 May → | |
| dust2 | 7–13 | 0.00 | 17% | 16 May → | |
| dust2 | 15–15 | 0.00 | 16% | 15 May → | |
| nuke | 9–4 | -0.02 | 25% | 15 May → | |
| inferno | 9–3 | 0.26 | 22% | 13 May → | |
| ancient | 11–13 | -0.03 | 22% | 11 May → | |
| inferno | 13–10 | 0.01 | 21% | 10 May → | |
| ancient | 13–8 | -0.02 | 14% | 10 May → | |
| nuke | 9–13 | -0.05 | 16% | 7 May → | |
| mirage | 13–5 | 0.05 | 20% | 4 May → | |
| nuke | 9–13 | -0.06 | 13% | 3 May → | |
| mirage | 11–13 | 0.06 | 21% | 2 May → | |
| dust2 | 14–16 | -0.00 | 24% | 1 May → | |
| nuke | 9–3 | 0.21 | 22% | 29 Apr → | |
| overpass | 10–13 | -0.03 | 25% | 27 Apr → | |
| inferno | 13–9 | 0.12 | 13% | 27 Apr → | |
| inferno | 13–11 | 0.05 | 20% | 27 Apr → | |
| inferno | 13–9 | 0.14 | 20% | 27 Apr → | |
| ancient | 12–16 | 0.00 | 21% | 25 Apr → | |
| inferno | 7–13 | -0.02 | 29% | 25 Apr → | |
| anubis | 13–16 | 0.02 | 17% | 25 Apr → | |
| anubis | 13–4 | -0.03 | 16% | 25 Apr → | |
| inferno | 13–9 | 0.02 | 23% | 25 Apr → | |
| cache | 16–14 | 0.01 | 18% | 25 Apr → | |
| inferno | 13–9 | -0.01 | 21% | 25 Apr → | |
| ancient | 13–9 | 0.06 | 15% | 24 Apr → | |
| mirage | 9–13 | -0.04 | 7% | 24 Apr → | |
| inferno | 9–13 | 0.03 | 24% | 24 Apr → | |
| nuke | 11–13 | 0.01 | 21% | 24 Apr → | |
| inferno | 13–11 | -0.04 | 17% | 24 Apr → | |
| inferno | 13–6 | 0.05 | 23% | 23 Apr → | |
| inferno | 11–13 | 0.04 | 16% | 22 Apr → | |
| dust2 | 16–14 | 0.12 | 21% | 21 Apr → | |
| anubis | 0–13 | -0.04 | 12% | 20 Apr → | |
| ancient | 21–25 | -0.02 | 18% | 20 Apr → | |
| inferno | 7–13 | -0.01 | 24% | 20 Apr → | |
| anubis | 13–16 | 0.05 | 17% | 20 Apr → | |
| dust2 | 13–9 | -0.01 | 13% | 20 Apr → | |
| mirage | 12–16 | -0.00 | 11% | 20 Apr → | |
| anubis | 9–13 | -0.01 | 19% | 20 Apr → | |
| mirage | 13–11 | -0.02 | 16% | 16 Apr → | |
| anubis | 13–16 | 0.00 | 10% | 16 Apr → | |
| anubis | 13–4 | 0.08 | 17% | 16 Apr → | |
| anubis | 7–13 | -0.06 | 24% | 15 Apr → | |
| mirage | 11–13 | 0.03 | 30% | 14 Apr → | |
| dust2 | 13–11 | -0.04 | 28% | 14 Apr → | |
| dust2 | 5–13 | -0.06 | 17% | 14 Apr → | |
| ancient | 13–16 | -0.05 | 6% | 13 Apr → | |
| inferno | 11–13 | 0.04 | 17% | 13 Apr → | |
| inferno | 9–4 | 0.19 | 24% | 13 Apr → | |
| inferno | 2–9 | -0.19 | 33% | 13 Apr → | |
| inferno | 10–13 | 0.01 | 25% | 12 Apr → | |
| overpass | 7–13 | -0.05 | 22% | 9 Apr → | |
| anubis | 11–13 | -0.02 | 14% | 9 Apr → | |
| anubis | 10–13 | -0.00 | 27% | 8 Apr → | |
| anubis | 10–13 | 0.01 | 11% | 8 Apr → | |
| ancient | 6–13 | -0.02 | 9% | 8 Apr → | |
| inferno | 7–13 | 0.00 | 9% | 7 Apr → |
Match data via Leetify.
