mkv______ — CS2 Stats
76561198993270875[U:1:1033005147]
Rating over time
Premier CS Rating
- At peak — 28,259
- Next: Gold band at 30,000 — 1,741 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
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: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 91% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: lower positioning profile; lower 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 100 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 24 | 16–8 | 67% | 0.02 | |
| A | 20 | 11–9 | 55% | 0.03 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| A | 10 | 6–4 | 60% | -0.03 | |
| S | 6 | 5–1 | 83% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.10 | |
| italy | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 16 | 56% | 1.26 | 19.3 |
| Ancient | 8 | 75% | 1.43 | 21.0 |
| Mirage | 6 | 100% | 1.54 | 21.0 |
| Inferno | 2 | 100% | 2.07 | 22.0 |
| Nuke | 1 | 100% | 2.18 | 24.0 |
| Cache | 1 | 100% | 1.79 | 25.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.142 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–13 | -0.01 | 27% | 27 Aug → | ||
| 13–3 | 0.08 | 56% | 27 Aug → | ||
| 13–7 | 0.12 | 60% | 27 Aug → | ||
| 13–0 | 0.27 | 46% | 27 Aug → | ||
| 13–3 | 0.01 | 70% | 26 Aug → | ||
| 13–0 | 0.00 | 0% | 26 Aug → | ||
| 13–4 | 0.07 | 54% | 26 Aug → | ||
| 13–4 | 0.13 | 43% | 25 Aug → | ||
| 10–13 | 0.04 | 50% | 24 Aug → | ||
| 13–5 | 0.06 | 44% | 23 Aug → | ||
| 13–7 | 0.10 | 48% | 23 Aug → | ||
| 13–4 | 0.08 | 34% | 23 Aug → | ||
| 5–13 | -0.03 | 34% | 23 Aug → | ||
| 8–7 | 0.05 | 43% | 23 Aug → | ||
| 8–13 | 0.03 | 26% | 21 Aug → | ||
| 13–8 | 0.08 | 44% | 21 Aug → | ||
| 11–13 | -0.00 | 50% | 20 Aug → | ||
| 9–13 | -0.01 | 60% | 20 Aug → | ||
| 13–3 | -0.02 | 30% | 20 Aug → | ||
| 10–13 | 0.11 | 33% | 20 Aug → | ||
| 13–4 | 0.01 | 26% | 20 Aug → | ||
| 13–6 | 0.03 | 41% | 19 Aug → | ||
| 13–5 | 0.04 | 70% | 18 Aug → | ||
| 13–3 | -0.05 | 23% | 18 Aug → | ||
| 10–13 | 0.04 | 61% | 17 Aug → | ||
| 1–1 | 0.03 | 100% | 17 Aug → | ||
| 13–4 | -0.01 | 47% | 17 Aug → | ||
| 13–6 | -0.06 | 24% | 17 Aug → | ||
| 13–2 | 0.12 | 47% | 17 Aug → | ||
| 0–13 | -0.09 | 31% | 16 Aug → | ||
| 13–3 | -0.05 | 36% | 16 Aug → | ||
| 8–13 | 0.07 | 27% | 16 Aug → | ||
| 13–7 | 0.11 | 32% | 16 Aug → | ||
| 13–8 | 0.08 | 28% | 16 Aug → | ||
| 13–4 | 0.00 | 40% | 16 Aug → | ||
| 13–0 | -0.01 | 43% | 15 Aug → | ||
| 4–13 | 0.13 | 72% | 15 Aug → | ||
| 13–4 | 0.19 | 22% | 15 Aug → | ||
| 13–10 | 0.03 | 29% | 15 Aug → | ||
| 13–10 | 0.00 | 27% | 15 Aug → | ||
| 0–2 | -0.01 | 33% | 15 Aug → | ||
| italy | 9–13 | 0.07 | 35% | 15 Aug → | |
| 11–5 | -0.01 | 26% | 15 Aug → | ||
| 13–9 | -0.05 | 31% | 15 Aug → | ||
| 13–7 | -0.06 | 22% | 15 Aug → | ||
| 13–4 | -0.01 | 25% | 15 Aug → | ||
| 8–13 | -0.00 | 21% | 14 Aug → | ||
| 13–8 | 0.03 | 27% | 14 Aug → | ||
| 7–13 | -0.03 | 30% | 14 Aug → | ||
| 13–7 | 0.05 | 40% | 14 Aug → | ||
| 16–13 | 0.03 | 47% | 14 Aug → | ||
| 13–2 | 0.04 | 31% | 14 Aug → | ||
| 10–13 | 0.02 | 29% | 14 Aug → | ||
| 11–13 | -0.08 | 26% | 13 Aug → | ||
| 13–3 | 0.02 | 24% | 13 Aug → | ||
| 13–7 | -0.01 | 46% | 13 Aug → | ||
| 13–4 | 0.06 | 19% | 13 Aug → | ||
| 5–13 | -0.04 | 13% | 12 Aug → | ||
| 0–7 | -0.09 | 33% | 12 Aug → | ||
| 11–13 | -0.08 | 37% | 11 Aug → | ||
| 13–9 | 0.02 | 28% | 11 Aug → | ||
| 13–11 | -0.04 | 30% | 10 Aug → | ||
| 13–6 | -0.02 | 33% | 10 Aug → | ||
| 13–8 | 0.02 | 38% | 10 Aug → | ||
| 13–10 | -0.02 | 28% | 9 Aug → | ||
| 7–13 | 0.02 | 28% | 9 Aug → | ||
| 13–7 | -0.01 | 38% | 9 Aug → | ||
| 13–8 | -0.01 | 26% | 9 Aug → | ||
| 13–6 | -0.04 | 33% | 8 Aug → | ||
| 13–5 | -0.01 | 28% | 8 Aug → | ||
| 8–13 | -0.00 | 21% | 8 Aug → | ||
| 11–13 | 0.05 | 30% | 8 Aug → | ||
| 7–13 | 0.01 | 35% | 8 Aug → | ||
| 4–13 | -0.06 | 25% | 8 Aug → | ||
| 13–6 | 0.06 | 43% | 8 Aug → | ||
| 13–9 | 0.08 | 26% | 8 Aug → | ||
| 13–6 | 0.04 | 37% | 8 Aug → | ||
| 11–13 | 0.02 | 28% | 8 Aug → | ||
| 8–13 | -0.05 | 24% | 7 Aug → | ||
| 2–13 | -0.06 | 11% | 7 Aug → | ||
| 13–7 | 0.11 | 33% | 7 Aug → | ||
| 11–13 | 0.02 | 28% | 6 Aug → | ||
| 13–10 | 0.02 | 41% | 6 Aug → | ||
| 13–8 | -0.00 | 29% | 6 Aug → | ||
| 11–13 | -0.04 | 21% | 5 Aug → | ||
| 13–3 | 0.15 | 24% | 5 Aug → | ||
| 3–13 | -0.01 | 39% | 4 Aug → | ||
| 13–7 | 0.02 | 41% | 4 Aug → | ||
| 11–13 | -0.01 | 27% | 4 Aug → | ||
| 13–9 | 0.00 | 30% | 4 Aug → | ||
| 9–13 | -0.02 | 26% | 4 Aug → | ||
| 5–13 | -0.10 | 35% | 3 Aug → | ||
| 11–13 | 0.03 | 23% | 3 Aug → | ||
| 11–13 | -0.02 | 14% | 2 Aug → | ||
| 1–13 | -0.06 | 13% | 2 Aug → | ||
| 10–13 | 0.05 | 44% | 2 Aug → | ||
| 13–1 | 0.11 | 28% | 2 Aug → | ||
| 7–13 | -0.01 | 37% | 2 Aug → | ||
| 9–13 | -0.01 | 41% | 2 Aug → | ||
| 6–13 | 0.02 | 35% | 2 Aug → |
Match data via Leetify.