Garry/k/ ;. — CS2 Stats
76561198040833206[U:1:80567478]Steam profile ↗
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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
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side openerEffective flashes
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
Strengths
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 46% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 567ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 30 | 14–16 | 47% | -0.00 | |
| B | 15 | 7–8 | 47% | -0.03 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| B | 12 | 6–6 | 50% | -0.02 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| debris | — | 2 | 2–0 | 100% | 0.09 |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 17 | 53% | 1.33 | 17.4 |
| Ancient | 15 | 27% | 1.29 | 17.4 |
| Dust2 | 9 | 44% | 1.51 | 18.2 |
| Vertigo | 6 | 83% | 1.65 | 17.8 |
| Nuke | 2 | 50% | 1.00 | 16.0 |
| Overpass | 2 | 50% | 1.24 | 16.5 |
| Inferno | 2 | 50% | 1.29 | 15.5 |
| Anubis | 2 | 100% | 1.34 | 14.5 |
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 15.1641% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–2 | -0.01 | 26% | 28 Aug → | ||
| 0–4 | -0.08 | 50% | 28 Aug → | ||
| 4–13 | 0.08 | 33% | 27 Aug → | ||
| debris | 9–2 | 0.10 | 13% | 26 Aug → | |
| 6–9 | -0.04 | 17% | 26 Aug → | ||
| 2–9 | -0.14 | 9% | 26 Aug → | ||
| 6–9 | -0.03 | 22% | 26 Aug → | ||
| 3–9 | -0.16 | 17% | 26 Aug → | ||
| 13–6 | 0.02 | 18% | 26 Aug → | ||
| 13–4 | 0.09 | 25% | 25 Aug → | ||
| 11–13 | -0.05 | 10% | 24 Aug → | ||
| 7–13 | -0.02 | 16% | 23 Aug → | ||
| 2–13 | -0.08 | 33% | 21 Aug → | ||
| 13–7 | 0.10 | 17% | 20 Aug → | ||
| 9–6 | 0.08 | 20% | 19 Aug → | ||
| 8–8 | -0.10 | 19% | 19 Aug → | ||
| 7–11 | 0.02 | 24% | 19 Aug → | ||
| 13–11 | -0.02 | 12% | 18 Aug → | ||
| 13–2 | 0.02 | 19% | 16 Aug → | ||
| 13–5 | -0.03 | 11% | 15 Aug → | ||
| 13–10 | 0.02 | 11% | 14 Aug → | ||
| 10–13 | 0.02 | 12% | 14 Aug → | ||
| 13–10 | -0.03 | 29% | 14 Aug → | ||
| 13–3 | 0.06 | 14% | 14 Aug → | ||
| 10–13 | -0.04 | 20% | 14 Aug → | ||
| 13–3 | 0.08 | 16% | 13 Aug → | ||
| 13–4 | 0.12 | 20% | 13 Aug → | ||
| 0–9 | -0.03 | 0% | 13 Aug → | ||
| 2–13 | -0.00 | 14% | 12 Aug → | ||
| 3–13 | -0.04 | 26% | 12 Aug → | ||
| 6–13 | -0.07 | 3% | 11 Aug → | ||
| 13–4 | -0.04 | 19% | 10 Aug → | ||
| 13–11 | -0.04 | 18% | 9 Aug → | ||
| 0–2 | 0.01 | 25% | 9 Aug → | ||
| 11–13 | -0.05 | 14% | 7 Aug → | ||
| 13–11 | 0.07 | 26% | 6 Aug → | ||
| 10–13 | -0.03 | 19% | 5 Aug → | ||
| 13–16 | -0.06 | 12% | 5 Aug → | ||
| 12–3 | -0.08 | 25% | 4 Aug → | ||
| 13–7 | 0.07 | 24% | 3 Aug → | ||
| 13–9 | 0.06 | 26% | 3 Aug → | ||
| 5–13 | -0.06 | 16% | 2 Aug → | ||
| 11–13 | -0.01 | 20% | 31 Jul → | ||
| 16–13 | 0.02 | 17% | 30 Jul → | ||
| 16–12 | 0.01 | 14% | 30 Jul → | ||
| 10–13 | 0.00 | 12% | 29 Jul → | ||
| 3–8 | -0.06 | 33% | 29 Jul → | ||
| 1–13 | -0.06 | 12% | 28 Jul → | ||
| 9–13 | 0.01 | 17% | 27 Jul → | ||
| 13–5 | -0.07 | 23% | 27 Jul → | ||
| 13–10 | -0.10 | 19% | 25 Jul → | ||
| 13–11 | -0.10 | 24% | 23 Jul → | ||
| 9–13 | 0.02 | 28% | 22 Jul → | ||
| 13–5 | -0.05 | 3% | 22 Jul → | ||
| 13–5 | 0.10 | 21% | 22 Jul → | ||
| 13–3 | 0.10 | 17% | 22 Jul → | ||
| 5–13 | -0.03 | 22% | 21 Jul → | ||
| 13–3 | 0.03 | 20% | 20 Jul → | ||
| 5–13 | 0.01 | 20% | 20 Jul → | ||
| 10–13 | -0.05 | 26% | 20 Jul → | ||
| 13–4 | 0.15 | 19% | 18 Jul → | ||
| 13–11 | -0.03 | 15% | 17 Jul → | ||
| 13–3 | -0.01 | 5% | 16 Jul → | ||
| 3–13 | -0.03 | 13% | 15 Jul → | ||
| 11–13 | -0.06 | 13% | 15 Jul → | ||
| 13–4 | 0.06 | 22% | 14 Jul → | ||
| 4–13 | -0.06 | 42% | 14 Jul → | ||
| 6–13 | -0.06 | 13% | 14 Jul → | ||
| 13–2 | 0.02 | 14% | 14 Jul → | ||
| 9–13 | -0.02 | 21% | 13 Jul → | ||
| 13–5 | -0.03 | 23% | 13 Jul → | ||
| 9–13 | 0.02 | 13% | 12 Jul → | ||
| 10–13 | -0.04 | 29% | 12 Jul → | ||
| 13–7 | 0.08 | 18% | 12 Jul → | ||
| debris | 9–3 | 0.08 | 10% | 12 Jul → | |
| 13–9 | -0.03 | 12% | 11 Jul → | ||
| 13–10 | 0.03 | 18% | 11 Jul → | ||
| 16–13 | -0.01 | 26% | 10 Jul → | ||
| 3–13 | 0.01 | 21% | 9 Jul → | ||
| 13–7 | 0.08 | 18% | 8 Jul → | ||
| 13–11 | 0.08 | 11% | 7 Jul → | ||
| 9–13 | -0.08 | 10% | 6 Jul → | ||
| 10–13 | -0.04 | 28% | 5 Jul → | ||
| 8–13 | 0.03 | 17% | 4 Jul → | ||
| 13–9 | -0.00 | 11% | 4 Jul → | ||
| 14–16 | 0.02 | 12% | 3 Jul → | ||
| 4–13 | -0.03 | 9% | 3 Jul → | ||
| 2–9 | -0.17 | 27% | 3 Jul → | ||
| 9–7 | 0.02 | 21% | 3 Jul → | ||
| 9–6 | 0.01 | 15% | 3 Jul → | ||
| 9–1 | 0.38 | 26% | 3 Jul → | ||
| 13–3 | 0.07 | 24% | 3 Jul → | ||
| 8–13 | -0.03 | 24% | 2 Jul → | ||
| 10–13 | -0.04 | 31% | 2 Jul → | ||
| 13–9 | -0.03 | 20% | 1 Jul → | ||
| 6–0 | 0.23 | 41% | 1 Jul → | ||
| 13–9 | 0.02 | 12% | 30 Jun → | ||
| 3–13 | -0.07 | 14% | 30 Jun → | ||
| 13–4 | 0.05 | 34% | 30 Jun → | ||
| 6–9 | 0.03 | 14% | 29 Jun → |
Match data via Leetify.