mKa — CS2 Stats
FI76561197977337101[U:1:17071373]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 1,158
- Next: Level 6 at 1,201 — 43 to go
- Reached: Level 5 · Level 4 · Level 3 · Level 2
- Level 5 first seen 2026-08-31
- Level 4 first seen 2026-08-31
Premier CS Rating
- At peak — 18,485
- Next: Pink band at 20,000 — 1,515 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-31
- Blue band first seen 2026-08-31
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 jL 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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. 586ms 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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | 0.00 | |
| S | 17 | 11–6 | 65% | 0.02 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| C | 16 | 6–10 | 38% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.00 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 48 | 56% | 0.96 | 13.9 |
| Mirage | 39 | 46% | 0.95 | 14.6 |
| Ancient | 38 | 63% | 1.12 | 14.9 |
| Overpass | 37 | 70% | 1.28 | 15.7 |
| Dust2 | 33 | 48% | 1.06 | 16.1 |
| Nuke | 32 | 50% | 1.28 | 15.2 |
| Anubis | 23 | 52% | 1.05 | 15.0 |
| Train | 8 | 100% | 1.68 | 17.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 18% | 28 Aug → | ||
| 13–8 | 0.06 | 27% | 28 Aug → | ||
| 11–13 | 0.01 | 17% | 21 Aug → | ||
| 13–5 | 0.07 | 24% | 21 Aug → | ||
| 9–13 | -0.01 | 17% | 21 Aug → | ||
| 9–13 | 0.00 | 23% | 21 Aug → | ||
| 13–8 | -0.04 | 13% | 14 Aug → | ||
| 11–13 | 0.00 | 28% | 14 Aug → | ||
| 13–9 | 0.02 | 20% | 14 Aug → | ||
| 13–5 | 0.02 | 14% | 14 Aug → | ||
| 13–7 | -0.02 | 32% | 14 Aug → | ||
| 13–9 | -0.06 | 13% | 14 Aug → | ||
| 13–7 | 0.01 | 18% | 8 Aug → | ||
| 13–11 | 0.03 | 23% | 8 Aug → | ||
| 13–10 | 0.03 | 21% | 8 Aug → | ||
| 6–13 | -0.04 | 23% | 8 Aug → | ||
| 13–7 | -0.02 | 39% | 8 Aug → | ||
| 13–11 | -0.00 | 24% | 7 Aug → | ||
| 13–6 | 0.01 | 0% | 7 Aug → | ||
| 10–13 | 0.02 | 29% | 7 Aug → | ||
| 13–3 | 0.06 | 61% | 7 Aug → | ||
| 3–13 | -0.01 | 36% | 7 Aug → | ||
| 14–16 | -0.05 | 12% | 7 Aug → | ||
| 1–2 | 0.00 | 67% | 7 Aug → | ||
| 13–6 | 0.05 | 18% | 31 Jul → | ||
| 13–10 | 0.03 | 35% | 31 Jul → | ||
| 13–11 | 0.02 | 20% | 31 Jul → | ||
| 13–7 | -0.02 | 37% | 25 Jul → | ||
| 10–13 | -0.03 | 33% | 25 Jul → | ||
| 13–5 | 0.13 | 26% | 25 Jul → | ||
| 2–13 | -0.04 | 25% | 25 Jul → | ||
| 10–13 | 0.08 | 27% | 25 Jul → | ||
| 2–13 | -0.05 | 22% | 25 Jul → | ||
| 10–13 | 0.04 | 17% | 24 Jul → | ||
| 9–13 | 0.03 | 11% | 24 Jul → | ||
| 13–11 | 0.05 | 32% | 24 Jul → | ||
| 13–10 | 0.05 | 18% | 23 Jul → | ||
| 9–13 | -0.06 | 17% | 23 Jul → | ||
| 10–13 | 0.08 | 24% | 17 Jul → | ||
| 10–13 | 0.04 | 29% | 17 Jul → | ||
| 13–6 | 0.06 | 15% | 17 Jul → | ||
| 11–13 | 0.05 | 29% | 17 Jul → | ||
| 16–13 | -0.01 | 32% | 11 Jul → | ||
| 13–3 | 0.02 | 14% | 11 Jul → | ||
| 9–13 | -0.04 | 24% | 11 Jul → | ||
| 4–6 | -0.06 | 0% | 11 Jul → | ||
| 13–10 | 0.01 | 18% | 3 Jul → | ||
| 11–13 | 0.05 | 25% | 3 Jul → | ||
| 11–13 | 0.11 | 31% | 3 Jul → | ||
| 5–13 | 0.06 | 38% | 3 Jul → | ||
| 16–12 | 0.03 | 17% | 27 Jun → | ||
| 15–15 | 0.07 | 21% | 27 Jun → | ||
| 13–10 | 0.05 | 33% | 26 Jun → | ||
| 13–8 | 0.05 | 32% | 26 Jun → | ||
| 5–13 | 0.02 | 14% | 26 Jun → | ||
| 13–16 | -0.04 | 20% | 18 Jun → | ||
| 15–15 | -0.09 | 6% | 17 Jun → | ||
| 4–13 | 0.01 | 33% | 17 Jun → | ||
| 13–8 | 0.07 | 15% | 11 Jun → | ||
| 8–13 | 0.06 | 13% | 11 Jun → | ||
| 13–10 | -0.02 | 25% | 11 Jun → | ||
| 9–13 | -0.03 | 21% | 29 May → | ||
| 11–13 | -0.06 | 11% | 29 May → | ||
| 10–13 | -0.04 | 36% | 29 May → | ||
| 15–15 | -0.03 | 8% | 29 May → | ||
| 3–13 | -0.09 | 18% | 17 May → | ||
| 7–13 | -0.06 | 13% | 17 May → | ||
| 16–14 | -0.04 | 22% | 13 May → | ||
| 10–13 | -0.00 | 9% | 13 May → | ||
| 13–7 | 0.04 | 23% | 13 May → | ||
| 13–11 | -0.05 | 21% | 10 May → | ||
| 13–5 | 0.03 | 19% | 10 May → | ||
| 13–4 | -0.00 | 23% | 10 May → | ||
| 11–13 | -0.06 | 21% | 9 May → | ||
| 13–3 | 0.08 | 13% | 9 May → | ||
| 9–13 | 0.05 | 16% | 9 May → | ||
| 13–6 | 0.05 | 16% | 9 May → | ||
| 13–2 | 0.09 | 21% | 8 May → | ||
| 13–11 | -0.02 | 24% | 8 May → | ||
| 13–11 | 0.03 | 20% | 8 May → | ||
| 8–13 | -0.05 | 25% | 8 May → | ||
| 13–16 | 0.06 | 13% | 8 May → | ||
| 3–13 | -0.08 | 26% | 8 May → | ||
| 13–2 | 0.03 | 37% | 7 May → | ||
| 3–13 | -0.07 | 20% | 7 May → | ||
| 13–4 | 0.06 | 31% | 7 May → | ||
| 12–12 | -0.04 | 10% | 7 May → | ||
| 11–13 | 0.00 | 34% | 7 May → | ||
| 16–13 | -0.01 | 10% | 6 May → | ||
| 13–2 | -0.03 | 4% | 6 May → | ||
| 3–13 | -0.06 | 30% | 6 May → | ||
| 9–13 | 0.08 | 17% | 6 May → | ||
| 5–13 | -0.01 | 19% | 3 May → | ||
| 13–6 | -0.05 | 16% | 3 May → | ||
| 8–13 | -0.03 | 28% | 3 May → | ||
| 9–13 | -0.03 | 22% | 3 May → | ||
| 15–15 | 0.01 | 19% | 1 May → | ||
| 8–13 | -0.05 | 13% | 1 May → | ||
| 11–13 | -0.03 | 21% | 1 May → | ||
| 16–13 | 0.04 | 27% | 1 May → |
Match data via Leetify.