mikl — CS2 Stats
76561198062853821[U:1:102588093]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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. 633ms 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 4.5/10 (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 | 12 | 11–1 | 92% | 0.01 |
 inferno | B | 10 | 5–5 | 50% | -0.01 |
 dust2 | C | 9 | 4–5 | 44% | -0.03 |
 ancient | D | 6 | 1–5 | 17% | -0.02 |
 cache | S | 5 | 4–1 | 80% | 0.00 |
| agency | S | 5 | 4–1 | 80% | -0.01 |
| sanctum | — | 4 | 1–3 | 25% | 0.02 |
 vertigo | — | 4 | 2–2 | 50% | -0.03 |
 anubis | — | 4 | 2–2 | 50% | 0.02 |
| grail | — | 4 | 3–1 | 75% | 0.06 |
| fachwerk | — | 3 | 2–1 | 67% | 0.04 |
| boulder | — | 3 | 2–1 | 67% | -0.05 |
| poseidon | — | 3 | 0–3 | 0% | -0.07 |
 overpass | — | 3 | 2–1 | 67% | 0.05 |
 train | — | 3 | 2–1 | 67% | -0.03 |
| brewery | — | 3 | 1–2 | 33% | 0.02 |
| eldorado | — | 2 | 1–1 | 50% | 0.03 |
| debris | — | 2 | 1–1 | 50% | 0.01 |
| warden | — | 2 | 0–2 | 0% | -0.01 |
| golden | — | 2 | 1–1 | 50% | -0.00 |
| rooftop | — | 2 | 1–1 | 50% | -0.01 |
 mirage | — | 2 | 2–0 | 100% | 0.04 |
| palais | — | 2 | 2–0 | 100% | 0.07 |
| shelter | — | 1 | 1–0 | 100% | 0.03 |
| alpine | — | 1 | 0–1 | 0% | -0.06 |
| palacio | — | 1 | 1–0 | 100% | 0.07 |
| jura | — | 1 | 1–0 | 100% | 0.00 |
| dogtown | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 12.0779° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% 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 | 13–8 | 0.00 | 14% | 26 Jul → | |
| fachwerk | 13–6 | 0.09 | 28% | 26 Jul → | |
| cache | 13–11 | 0.04 | 25% | 26 Jul → | |
| eldorado | 6–9 | -0.01 | 14% | 23 Jul → | |
| debris | 9–3 | 0.13 | 35% | 23 Jul → | |
| boulder | 13–8 | -0.03 | 17% | 20 Jul → | |
| debris | 6–9 | -0.11 | 25% | 19 Jul → | |
| fachwerk | 9–13 | -0.01 | 17% | 19 Jul → | |
| boulder | 8–13 | -0.06 | 11% | 19 Jul → | |
| eldorado | 9–7 | 0.06 | 30% | 19 Jul → | |
| fachwerk | 13–11 | 0.05 | 26% | 12 Jul → | |
| shelter | 13–5 | 0.03 | 26% | 12 Jul → | |
| boulder | 4–1 | -0.05 | 40% | 12 Jul → | |
| nuke | 13–7 | 0.05 | 23% | 1 Jun → | |
| dust2 | 13–7 | 0.01 | 17% | 1 Jun → | |
| alpine | 7–13 | -0.06 | 9% | 28 May → | |
| sanctum | 6–9 | 0.05 | 34% | 17 May → | |
| nuke | 13–7 | 0.03 | 19% | 16 May → | |
| cache | 9–3 | -0.02 | 21% | 16 May → | |
| vertigo | 3–7 | -0.04 | 31% | 10 May → | |
| cache | 13–7 | -0.06 | 11% | 10 May → | |
| cache | 13–8 | 0.03 | 25% | 10 May → | |
| cache | 11–13 | 0.01 | 22% | 1 May → | |
| sanctum | 9–3 | 0.14 | 12% | 1 May → | |
| sanctum | 4–9 | -0.06 | 7% | 1 May → | |
| poseidon | 6–9 | -0.03 | 25% | 27 Apr → | |
| inferno | 8–8 | -0.06 | 11% | 27 Apr → | |
| ancient | 7–13 | -0.07 | 28% | 11 Apr → | |
| anubis | 9–13 | 0.01 | 14% | 11 Apr → | |
| inferno | 1–13 | -0.02 | 7% | 11 Apr → | |
| ancient | 11–13 | -0.03 | 19% | 11 Apr → | |
| nuke | 13–8 | -0.06 | 17% | 11 Apr → | |
| inferno | 13–10 | -0.06 | 16% | 5 Apr → | |
| nuke | 13–6 | -0.02 | 5% | 5 Apr → | |
| dust2 | 7–13 | -0.08 | 12% | 5 Apr → | |
| inferno | 10–13 | -0.04 | 14% | 15 Mar → | |
| ancient | 3–13 | -0.07 | 0% | 15 Mar → | |
| dust2 | 2–13 | -0.04 | 20% | 15 Mar → | |
| warden | 10–13 | -0.05 | 27% | 15 Mar → | |
| sanctum | 3–9 | -0.05 | 32% | 29 Jan → | |
| poseidon | 1–9 | -0.18 | 23% | 29 Jan → | |
| warden | 12–12 | 0.04 | 19% | 25 Jan → | |
| poseidon | 4–9 | -0.00 | 21% | 25 Jan → | |
| golden | 6–13 | -0.01 | 23% | 23 Dec → | |
| nuke | 9–5 | 0.10 | 26% | 22 Dec → | |
| overpass | 11–13 | 0.01 | 13% | 22 Dec → | |
| anubis | 12–12 | 0.00 | 19% | 22 Dec → | |
| overpass | 13–4 | 0.02 | 14% | 20 Dec → | |
| rooftop | 9–6 | 0.07 | 21% | 20 Dec → | |
| inferno | 9–4 | 0.12 | 15% | 20 Dec → | |
| dust2 | 11–13 | -0.05 | 16% | 11 Dec → | |
| vertigo | 6–9 | 0.03 | 15% | 11 Dec → | |
| nuke | 13–11 | 0.03 | 24% | 3 Dec → | |
| train | 11–13 | -0.03 | 18% | 1 Dec → | |
| ancient | 12–12 | 0.10 | 14% | 1 Dec → | |
| dust2 | 6–13 | -0.06 | 7% | 1 Dec → | |
| vertigo | 13–11 | -0.03 | 15% | 30 Nov → | |
| nuke | 13–3 | -0.04 | 10% | 26 Nov → | |
| dust2 | 13–9 | -0.02 | 35% | 26 Nov → | |
| mirage | 13–6 | 0.05 | 24% | 26 Nov → | |
| rooftop | 6–9 | -0.08 | 13% | 15 Nov → | |
| inferno | 13–7 | -0.02 | 15% | 15 Nov → | |
| dust2 | 13–6 | -0.04 | 26% | 13 Nov → | |
| ancient | 13–8 | -0.03 | 11% | 3 Nov → | |
| palacio | 13–8 | 0.07 | 22% | 19 Oct → | |
| golden | 13–5 | 0.01 | 12% | 19 Oct → | |
| anubis | 13–3 | 0.06 | 32% | 19 Oct → | |
| anubis | 13–2 | 0.03 | 17% | 19 Oct → | |
| inferno | 11–13 | -0.02 | 26% | 23 Sept → | |
| mirage | 13–3 | 0.03 | 35% | 3 Aug → | |
| train | 13–7 | -0.04 | 23% | 3 Aug → | |
| jura | 13–2 | 0.00 | 19% | 3 Aug → | |
| dust2 | 12–12 | 0.04 | 21% | 31 Jul → | |
| overpass | 9–4 | 0.11 | 11% | 30 Jul → | |
| nuke | 9–7 | 0.02 | 33% | 30 Jul → | |
| agency | 7–13 | -0.03 | 19% | 27 Jul → | |
| grail | 13–8 | 0.01 | 17% | 27 Jul → | |
| grail | 13–4 | 0.12 | 20% | 6 Jul → | |
| vertigo | 9–7 | -0.08 | 16% | 6 Jul → | |
| brewery | 8–8 | -0.03 | 11% | 6 Jul → | |
| grail | 13–7 | 0.04 | 19% | 2 Jul → | |
| nuke | 8–8 | 0.01 | 13% | 2 Jul → | |
| agency | 13–11 | -0.02 | 30% | 1 Jul → | |
| inferno | 7–0 | 0.04 | 60% | 1 Jul → | |
| grail | 12–12 | 0.06 | 35% | 1 Jul → | |
| agency | 13–4 | -0.02 | 6% | 15 Jun → | |
| agency | 13–6 | 0.01 | 23% | 15 Jun → | |
| nuke | 9–6 | 0.01 | 14% | 4 Jun → | |
| inferno | 9–2 | 0.01 | 25% | 4 Jun → | |
| brewery | 6–9 | -0.06 | 19% | 4 Jun → | |
| agency | 13–8 | 0.03 | 27% | 18 May → | |
| dogtown | 9–1 | 0.07 | 17% | 13 May → | |
| brewery | 9–2 | 0.14 | 20% | 13 May → | |
| ancient | 11–13 | -0.02 | 22% | 6 May → | |
| train | 13–11 | -0.02 | 18% | 14 Apr → | |
| inferno | 7–9 | -0.06 | 13% | 12 Apr → | |
| palais | 9–7 | 0.05 | 19% | 12 Apr → | |
| dust2 | 13–10 | -0.03 | 21% | 12 Apr → | |
| nuke | 9–6 | -0.03 | 12% | 23 Mar → | |
| palais | 9–2 | 0.09 | 22% | 23 Mar → |
Match data via Leetify.
