Gretel78797926 — CS2 Stats
76561198263594562[U:1:303328834]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 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 92% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 641ms 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 6.5/10 (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 | 27 | 16–11 | 59% | 0.02 | |
| C | 20 | 7–13 | 35% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| D | 15 | 4–11 | 27% | 0.01 | |
| D | 10 | 3–7 | 30% | 0.03 | |
| S | 10 | 8–2 | 80% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 48 | 40% | 0.91 | 13.3 |
| Anubis | 42 | 45% | 0.92 | 13.8 |
| Vertigo | 39 | 62% | 0.89 | 13.3 |
| Ancient | 39 | 59% | 0.90 | 14.5 |
| Inferno | 35 | 46% | 0.88 | 13.4 |
| Overpass | 24 | 58% | 0.98 | 15.3 |
| Nuke | 6 | 0% | 0.78 | 15.2 |
| Dust2 | 2 | 0% | 0.89 | 13.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.02 | 23% | 19 Apr → | ||
| 7–13 | -0.02 | 22% | 13 Apr → | ||
| 3–13 | 0.00 | 18% | 12 Apr → | ||
| 13–6 | -0.04 | 9% | 7 Apr → | ||
| 13–11 | 0.03 | 13% | 7 Apr → | ||
| 13–4 | 0.09 | 25% | 6 Apr → | ||
| 13–2 | 0.03 | 22% | 6 Apr → | ||
| 7–13 | -0.00 | 12% | 6 Apr → | ||
| 7–13 | 0.00 | 16% | 5 Apr → | ||
| 13–10 | 0.14 | 10% | 5 Apr → | ||
| 4–13 | -0.08 | 22% | 5 Apr → | ||
| 13–16 | 0.10 | 10% | 5 Apr → | ||
| 10–13 | -0.02 | 23% | 5 Apr → | ||
| 15–15 | 0.01 | 13% | 5 Apr → | ||
| 11–13 | -0.04 | 16% | 5 Apr → | ||
| 13–8 | 0.04 | 16% | 5 Apr → | ||
| 13–8 | 0.01 | 15% | 4 Apr → | ||
| 13–7 | -0.01 | 11% | 4 Apr → | ||
| 7–13 | -0.06 | 13% | 4 Apr → | ||
| 13–4 | 0.07 | 31% | 3 Apr → | ||
| 6–13 | -0.02 | 26% | 3 Apr → | ||
| 13–2 | 0.08 | 7% | 3 Apr → | ||
| 13–4 | 0.09 | 32% | 3 Apr → | ||
| 13–8 | 0.02 | 19% | 3 Apr → | ||
| 13–10 | 0.05 | 23% | 3 Apr → | ||
| 13–4 | 0.05 | 14% | 3 Apr → | ||
| 13–10 | 0.12 | 18% | 3 Apr → | ||
| 13–1 | 0.14 | 27% | 3 Apr → | ||
| 13–6 | 0.07 | 15% | 3 Apr → | ||
| 11–13 | 0.06 | 19% | 3 Apr → | ||
| 11–13 | 0.06 | 17% | 3 Apr → | ||
| 10–13 | 0.08 | 26% | 3 Apr → | ||
| 13–6 | 0.08 | 20% | 3 Apr → | ||
| 13–5 | 0.14 | 28% | 3 Apr → | ||
| 9–13 | 0.02 | 16% | 2 Apr → | ||
| 13–9 | -0.00 | 24% | 2 Apr → | ||
| 7–13 | -0.01 | 17% | 1 Apr → | ||
| 13–11 | -0.01 | 20% | 31 Mar → | ||
| 9–13 | -0.01 | 17% | 31 Mar → | ||
| 10–13 | -0.02 | 11% | 31 Mar → | ||
| 5–13 | -0.05 | 13% | 31 Mar → | ||
| 14–16 | -0.05 | 12% | 30 Mar → | ||
| 15–15 | 0.06 | 13% | 30 Mar → | ||
| 11–13 | -0.00 | 13% | 30 Mar → | ||
| 13–10 | 0.01 | 11% | 30 Mar → | ||
| 10–13 | 0.04 | 19% | 29 Mar → | ||
| 4–13 | -0.05 | 14% | 29 Mar → | ||
| 13–6 | 0.08 | 13% | 29 Mar → | ||
| 11–7 | -0.01 | 7% | 29 Mar → | ||
| 4–13 | -0.01 | 15% | 29 Mar → | ||
| 15–15 | 0.04 | 12% | 29 Mar → | ||
| 13–11 | 0.09 | 13% | 29 Mar → | ||
| 7–13 | -0.00 | 19% | 29 Mar → | ||
| 13–7 | 0.02 | 13% | 29 Mar → | ||
| 13–5 | 0.07 | 8% | 29 Mar → | ||
| 6–13 | -0.09 | 17% | 29 Mar → | ||
| 13–6 | 0.04 | 16% | 29 Mar → | ||
| 10–13 | 0.07 | 17% | 27 Mar → | ||
| 10–13 | -0.02 | 4% | 27 Mar → | ||
| 13–11 | -0.05 | 11% | 26 Mar → | ||
| 13–9 | -0.07 | 17% | 26 Mar → | ||
| 10–13 | 0.01 | 16% | 26 Mar → | ||
| 8–13 | 0.02 | 22% | 25 Mar → | ||
| 11–13 | 0.01 | 12% | 25 Mar → | ||
| 13–8 | -0.00 | 10% | 25 Mar → | ||
| 13–10 | 0.05 | 13% | 25 Mar → | ||
| 16–14 | 0.01 | 6% | 24 Mar → | ||
| 13–8 | 0.00 | 21% | 24 Mar → | ||
| 16–12 | -0.00 | 23% | 24 Mar → | ||
| 13–8 | -0.02 | 30% | 24 Mar → | ||
| 13–5 | 0.01 | 16% | 24 Mar → | ||
| 13–16 | -0.00 | 13% | 24 Mar → | ||
| 11–13 | -0.03 | 18% | 22 Mar → | ||
| 16–14 | 0.01 | 17% | 22 Mar → | ||
| 9–13 | 0.05 | 24% | 22 Mar → | ||
| 10–13 | -0.01 | 24% | 22 Mar → | ||
| 11–13 | -0.03 | 7% | 22 Mar → | ||
| 13–10 | 0.04 | 10% | 22 Mar → | ||
| 13–4 | 0.02 | 13% | 22 Mar → | ||
| 13–5 | 0.07 | 17% | 22 Mar → | ||
| 14–16 | 0.01 | 20% | 21 Mar → | ||
| 13–9 | 0.02 | 19% | 21 Mar → | ||
| 13–16 | -0.06 | 17% | 21 Mar → | ||
| 11–13 | 0.07 | 37% | 20 Mar → | ||
| 1–13 | -0.04 | 9% | 20 Mar → | ||
| 13–16 | 0.01 | 25% | 20 Mar → | ||
| 13–11 | 0.09 | 17% | 19 Mar → | ||
| 15–15 | 0.11 | 18% | 18 Mar → | ||
| 2–13 | -0.09 | 17% | 18 Mar → | ||
| 6–13 | 0.05 | 19% | 17 Mar → | ||
| 4–13 | -0.01 | 14% | 17 Mar → | ||
| 6–13 | -0.06 | 27% | 17 Mar → | ||
| 3–13 | -0.04 | 14% | 17 Mar → | ||
| 13–2 | 0.02 | 20% | 17 Mar → | ||
| 10–13 | -0.03 | 17% | 17 Mar → | ||
| 7–13 | -0.01 | 28% | 17 Mar → | ||
| 7–13 | 0.04 | 22% | 17 Mar → | ||
| 4–13 | 0.03 | 18% | 17 Mar → | ||
| 13–11 | -0.03 | 15% | 17 Mar → | ||
| 13–6 | 0.06 | 17% | 17 Mar → |
Match data via Leetify.