Mib — CS2 Stats
CA76561198214808813[U:1:254543085]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 94% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 26 | 15–11 | 58% | 0.05 | |
| C | 19 | 7–12 | 37% | 0.04 | |
| D | 19 | 6–13 | 32% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.09 | |
| boulder | — | 1 | 1–0 | 100% | 0.07 |
| shelter | — | 1 | 0–1 | 0% | -0.09 |
| fachwerk | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 50% | 1.23 | 17.9 |
| Anubis | 14 | 64% | 1.34 | 16.2 |
| Nuke | 13 | 77% | 1.40 | 17.0 |
| Ancient | 10 | 40% | 1.02 | 18.6 |
| Dust2 | 9 | 67% | 1.10 | 15.4 |
| Cache | 9 | 56% | 1.26 | 19.9 |
| Inferno | 1 | 0% | 1.20 | 24.0 |
| Train | 1 | 100% | 0.83 | 24.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.2826% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.03 | 25% | 26 Aug → | ||
| 13–4 | 0.15 | 7% | 26 Aug → | ||
| 2–13 | 0.03 | 21% | 22 Aug → | ||
| 13–9 | 0.06 | 11% | 21 Aug → | ||
| 13–5 | 0.17 | 11% | 21 Aug → | ||
| 9–1 | 0.19 | 8% | 19 Aug → | ||
| 7–13 | 0.01 | 5% | 19 Aug → | ||
| 3–13 | -0.04 | 7% | 18 Aug → | ||
| 1–13 | 0.02 | 15% | 17 Aug → | ||
| 3–13 | -0.02 | 11% | 17 Aug → | ||
| 13–10 | 0.15 | 19% | 17 Aug → | ||
| 13–7 | 0.10 | 13% | 17 Aug → | ||
| 13–2 | 0.14 | 17% | 16 Aug → | ||
| 13–7 | 0.05 | 6% | 16 Aug → | ||
| 9–13 | 0.07 | 13% | 16 Aug → | ||
| 1–8 | -0.06 | 7% | 15 Aug → | ||
| 13–9 | -0.00 | 12% | 15 Aug → | ||
| 8–13 | 0.00 | 10% | 15 Aug → | ||
| 6–9 | -0.09 | 8% | 13 Aug → | ||
| 9–5 | 0.21 | 13% | 13 Aug → | ||
| 9–6 | -0.01 | 7% | 13 Aug → | ||
| 5–13 | -0.02 | 8% | 13 Aug → | ||
| 13–3 | 0.00 | 11% | 12 Aug → | ||
| 10–3 | -0.07 | 11% | 12 Aug → | ||
| 8–13 | 0.01 | 10% | 12 Aug → | ||
| 13–9 | 0.02 | 6% | 11 Aug → | ||
| 12–12 | 0.07 | 11% | 11 Aug → | ||
| 12–12 | -0.01 | 14% | 11 Aug → | ||
| 5–13 | 0.04 | 8% | 11 Aug → | ||
| 13–3 | 0.02 | 2% | 9 Aug → | ||
| 3–6 | 0.21 | 16% | 9 Aug → | ||
| 11–13 | 0.03 | 15% | 9 Aug → | ||
| 13–9 | 0.07 | 11% | 7 Aug → | ||
| 9–13 | -0.05 | 4% | 6 Aug → | ||
| 2–13 | -0.00 | 10% | 5 Aug → | ||
| 12–12 | 0.04 | 9% | 5 Aug → | ||
| 10–13 | 0.09 | 11% | 4 Aug → | ||
| 12–12 | 0.02 | 11% | 4 Aug → | ||
| 13–9 | -0.00 | 7% | 4 Aug → | ||
| 13–5 | 0.03 | 3% | 3 Aug → | ||
| 10–13 | -0.02 | 8% | 3 Aug → | ||
| 13–11 | 0.06 | 17% | 3 Aug → | ||
| 13–10 | 0.06 | 15% | 3 Aug → | ||
| 6–13 | 0.07 | 4% | 31 Jul → | ||
| 2–13 | 0.00 | 16% | 31 Jul → | ||
| 6–13 | -0.04 | 8% | 30 Jul → | ||
| 4–13 | 0.02 | 21% | 30 Jul → | ||
| 5–1 | 0.07 | 5% | 30 Jul → | ||
| 7–0 | 0.00 | 13% | 30 Jul → | ||
| 13–5 | 0.11 | 9% | 29 Jul → | ||
| 13–2 | 0.15 | 14% | 29 Jul → | ||
| 10–13 | 0.05 | 15% | 29 Jul → | ||
| 12–12 | 0.07 | 16% | 29 Jul → | ||
| 9–13 | -0.03 | 5% | 28 Jul → | ||
| 14–16 | 0.03 | 10% | 27 Jul → | ||
| 5–13 | 0.01 | 19% | 26 Jul → | ||
| 5–13 | 0.08 | 3% | 26 Jul → | ||
| 13–7 | 0.03 | 5% | 26 Jul → | ||
| 13–10 | 0.00 | 14% | 25 Jul → | ||
| 13–8 | -0.01 | 9% | 25 Jul → | ||
| 13–6 | 0.14 | 15% | 25 Jul → | ||
| 4–13 | 0.02 | 15% | 25 Jul → | ||
| 13–9 | 0.12 | 11% | 25 Jul → | ||
| 9–13 | -0.01 | 7% | 24 Jul → | ||
| 13–11 | -0.00 | 17% | 24 Jul → | ||
| 11–13 | 0.00 | 9% | 24 Jul → | ||
| 13–2 | 0.07 | 22% | 24 Jul → | ||
| 12–12 | -0.03 | 15% | 21 Jul → | ||
| 13–9 | 0.02 | 10% | 20 Jul → | ||
| 9–13 | 0.01 | 15% | 19 Jul → | ||
| 13–6 | 0.09 | 6% | 19 Jul → | ||
| 13–4 | 0.12 | 6% | 18 Jul → | ||
| 12–12 | -0.02 | 12% | 15 Jul → | ||
| 13–9 | -0.02 | 7% | 15 Jul → | ||
| 13–10 | -0.01 | 4% | 15 Jul → | ||
| 10–13 | 0.06 | 7% | 14 Jul → | ||
| 13–5 | 0.07 | 13% | 14 Jul → | ||
| 11–13 | -0.01 | 12% | 14 Jul → | ||
| 8–13 | -0.00 | 18% | 13 Jul → | ||
| 13–10 | 0.04 | 15% | 13 Jul → | ||
| 10–13 | 0.03 | 11% | 13 Jul → | ||
| 10–13 | -0.02 | 17% | 12 Jul → | ||
| 8–13 | 0.06 | 28% | 12 Jul → | ||
| 13–11 | 0.05 | 13% | 12 Jul → | ||
| 9–13 | -0.02 | 18% | 12 Jul → | ||
| 13–11 | 0.05 | 12% | 11 Jul → | ||
| 13–9 | 0.06 | 11% | 11 Jul → | ||
| 13–6 | 0.09 | 11% | 11 Jul → | ||
| 9–13 | -0.04 | 11% | 11 Jul → | ||
| 9–13 | -0.03 | 13% | 11 Jul → | ||
| 12–12 | -0.02 | 7% | 11 Jul → | ||
| 13–4 | 0.13 | 18% | 11 Jul → | ||
| boulder | 13–7 | 0.07 | 8% | 9 Jul → | |
| shelter | 3–13 | -0.09 | 0% | 9 Jul → | |
| 12–12 | 0.05 | 15% | 9 Jul → | ||
| fachwerk | 6–2 | 0.04 | 14% | 9 Jul → | |
| 13–8 | -0.00 | 12% | 8 Jul → | ||
| 6–13 | -0.04 | 12% | 8 Jul → | ||
| 13–2 | 0.08 | 9% | 6 Jul → | ||
| 6–13 | -0.11 | 16% | 5 Jul → |
Match data via Leetify.