korgi — CS2 Stats
DE76561198011042657[U:1:50776929]Steam profile ↗
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 | 49.5% | 52.8% |
| Shot accuracy | 17.5% | 13.7% |
| Kill/death ratio | 1.33 | 1.08 |
| Match win rate | 44.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 95% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
CT openings. 62% 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 62% 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 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 |
|---|---|---|---|---|---|
| A | 30 | 18–12 | 60% | 0.03 | |
| S | 21 | 15–6 | 71% | 0.03 | |
| S | 16 | 12–4 | 75% | 0.05 | |
| S | 14 | 10–4 | 71% | 0.05 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| debris | — | 1 | 1–0 | 100% | 0.09 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 113 | 58% | 1.42 | 20.6 |
| Mirage | 99 | 59% | 1.31 | 20.5 |
| Ancient | 82 | 57% | 1.21 | 19.7 |
| Anubis | 64 | 56% | 1.23 | 19.9 |
| Dust2 | 23 | 61% | 1.42 | 20.4 |
| Overpass | 17 | 41% | 1.32 | 22.5 |
| Cache | 11 | 64% | 1.21 | 18.4 |
| Train | 9 | 56% | 1.38 | 19.0 |
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
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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.05 | 14% | 20 Aug → | ||
| 11–13 | 0.03 | 18% | 20 Aug → | ||
| 9–6 | 0.00 | 15% | 20 Aug → | ||
| 9–1 | 0.24 | 19% | 20 Aug → | ||
| 4–9 | 0.02 | 24% | 20 Aug → | ||
| 3–9 | -0.07 | 11% | 20 Aug → | ||
| debris | 9–5 | 0.09 | 22% | 20 Aug → | |
| 13–7 | 0.00 | 13% | 19 Aug → | ||
| 13–6 | 0.12 | 23% | 17 Aug → | ||
| 13–8 | 0.09 | 21% | 17 Aug → | ||
| 13–11 | 0.04 | 21% | 17 Aug → | ||
| 8–13 | 0.08 | 13% | 17 Aug → | ||
| 2–13 | -0.02 | 36% | 17 Aug → | ||
| 13–7 | 0.07 | 11% | 13 Aug → | ||
| 2–13 | 0.03 | 17% | 13 Aug → | ||
| 3–13 | 0.04 | 42% | 13 Aug → | ||
| 13–4 | 0.07 | 15% | 13 Aug → | ||
| 13–10 | 0.13 | 20% | 13 Aug → | ||
| 13–9 | 0.05 | 18% | 13 Aug → | ||
| 13–9 | 0.02 | 25% | 13 Aug → | ||
| 7–13 | -0.03 | 19% | 13 Aug → | ||
| 16–14 | -0.01 | 20% | 12 Aug → | ||
| 13–9 | 0.13 | 19% | 12 Aug → | ||
| 15–15 | -0.01 | 13% | 12 Aug → | ||
| 13–9 | 0.02 | 10% | 12 Aug → | ||
| 13–2 | 0.05 | 12% | 12 Aug → | ||
| 4–13 | -0.02 | 9% | 12 Aug → | ||
| 13–6 | 0.05 | 15% | 10 Aug → | ||
| 8–13 | 0.01 | 13% | 10 Aug → | ||
| 13–8 | 0.05 | 5% | 10 Aug → | ||
| 13–8 | 0.03 | 18% | 10 Aug → | ||
| 16–12 | 0.03 | 14% | 10 Aug → | ||
| 4–13 | 0.01 | 17% | 10 Aug → | ||
| 11–13 | 0.00 | 21% | 9 Aug → | ||
| 13–10 | 0.05 | 21% | 8 Aug → | ||
| 13–11 | 0.08 | 21% | 8 Aug → | ||
| 7–13 | -0.04 | 22% | 5 Aug → | ||
| 13–7 | 0.06 | 17% | 5 Aug → | ||
| 13–10 | 0.03 | 17% | 3 Aug → | ||
| 13–11 | 0.05 | 15% | 31 Jul → | ||
| 16–13 | -0.03 | 19% | 31 Jul → | ||
| 10–13 | 0.10 | 20% | 31 Jul → | ||
| 6–13 | -0.01 | 14% | 31 Jul → | ||
| 13–6 | 0.04 | 21% | 30 Jul → | ||
| 8–13 | 0.04 | 10% | 30 Jul → | ||
| 13–3 | 0.09 | 15% | 30 Jul → | ||
| 13–6 | 0.07 | 19% | 29 Jul → | ||
| 13–9 | -0.06 | 9% | 29 Jul → | ||
| 13–10 | 0.03 | 32% | 28 Jul → | ||
| 13–8 | 0.15 | 16% | 28 Jul → | ||
| 11–13 | 0.01 | 27% | 28 Jul → | ||
| 13–9 | -0.05 | 11% | 28 Jul → | ||
| 13–10 | 0.02 | 25% | 28 Jul → | ||
| 13–2 | 0.09 | 19% | 28 Jul → | ||
| 13–7 | 0.01 | 17% | 27 Jul → | ||
| 13–8 | -0.00 | 11% | 27 Jul → | ||
| 13–4 | 0.01 | 24% | 27 Jul → | ||
| 13–7 | 0.22 | 25% | 27 Jul → | ||
| 13–11 | 0.01 | 17% | 23 Jul → | ||
| 10–13 | 0.00 | 18% | 23 Jul → | ||
| 13–11 | -0.04 | 17% | 22 Jul → | ||
| 13–5 | 0.00 | 13% | 20 Jul → | ||
| 22–18 | -0.02 | 14% | 15 Jul → | ||
| 13–4 | 0.06 | 19% | 14 Jul → | ||
| 13–10 | -0.02 | 30% | 14 Jul → | ||
| 13–1 | 0.05 | 16% | 13 Jul → | ||
| 7–13 | 0.02 | 16% | 13 Jul → | ||
| 8–13 | 0.03 | 11% | 13 Jul → | ||
| 13–6 | 0.00 | 16% | 13 Jul → | ||
| 9–13 | 0.02 | 11% | 13 Jul → | ||
| 13–11 | -0.03 | 8% | 13 Jul → | ||
| 13–7 | 0.07 | 16% | 13 Jul → | ||
| 13–5 | 0.02 | 14% | 12 Jul → | ||
| 7–13 | -0.00 | 12% | 12 Jul → | ||
| 3–13 | -0.11 | 17% | 12 Jul → | ||
| 13–8 | 0.05 | 18% | 11 Jul → | ||
| 13–6 | 0.04 | 23% | 10 Jul → | ||
| 8–13 | -0.04 | 11% | 10 Jul → | ||
| 19–15 | 0.04 | 21% | 9 Jul → | ||
| 3–13 | 0.00 | 28% | 9 Jul → | ||
| 2–13 | -0.01 | 15% | 9 Jul → | ||
| 13–8 | 0.02 | 20% | 9 Jul → | ||
| 13–7 | 0.01 | 23% | 9 Jul → | ||
| 13–2 | 0.13 | 14% | 9 Jul → | ||
| 13–2 | 0.08 | 12% | 9 Jul → | ||
| 9–13 | 0.10 | 30% | 9 Jul → | ||
| 13–11 | 0.06 | 17% | 8 Jul → | ||
| 13–6 | 0.08 | 29% | 8 Jul → | ||
| 9–13 | -0.08 | 13% | 8 Jul → | ||
| 11–13 | -0.01 | 19% | 8 Jul → | ||
| 13–9 | 0.04 | 17% | 8 Jul → | ||
| 7–13 | 0.01 | 18% | 8 Jul → | ||
| 13–4 | 0.02 | 21% | 8 Jul → | ||
| 7–13 | 0.09 | 12% | 7 Jul → | ||
| 5–13 | -0.00 | 8% | 7 Jul → | ||
| 13–5 | 0.05 | 13% | 7 Jul → | ||
| 13–2 | 0.09 | 33% | 6 Jul → | ||
| 13–10 | 0.03 | 13% | 6 Jul → | ||
| 16–13 | 0.06 | 28% | 6 Jul → | ||
| 5–13 | 0.00 | 22% | 6 Jul → |
Match data via Leetify.
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