gloop — CS2 Stats
76561198126363127[U:1:166097399]VAC banned
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 42.3% | 52.0% |
| Shot accuracy | 15.7% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 44.9% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 m0NESY 95% playstyle similarity
Most alike: opening-fight frequency, 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 89 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 8.5/10 (Elite), 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 | 36 | 18–18 | 50% | 0.11 | |
| A | 31 | 18–13 | 58% | 0.09 | |
| S | 10 | 8–2 | 80% | 0.09 | |
| D | 9 | 3–6 | 33% | 0.10 | |
| D | 7 | 2–5 | 29% | 0.09 | |
| — | 4 | 0–4 | 0% | 0.08 | |
| — | 1 | 0–1 | 0% | 0.07 | |
| — | 1 | 0–1 | 0% | 0.10 | |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 61 | 52% | 1.22 | 17.1 |
| Anubis | 37 | 59% | 1.19 | 16.2 |
| Dust2 | 32 | 47% | 1.15 | 16.3 |
| Ancient | 23 | 70% | 1.18 | 18.5 |
| Inferno | 16 | 56% | 1.27 | 18.3 |
| Vertigo | 14 | 57% | 1.10 | 17.1 |
| Nuke | 3 | 67% | 0.86 | 13.0 |
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.
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 | |
|---|---|---|---|---|---|
| 13–9 | 0.05 | 21% | 27 Aug → | ||
| 13–3 | 0.14 | 25% | 27 Aug → | ||
| 13–6 | 0.15 | 23% | 26 Aug → | ||
| 11–13 | 0.13 | 21% | 26 Aug → | ||
| 13–6 | 0.04 | 26% | 26 Aug → | ||
| 7–2 | 0.22 | 41% | 26 Aug → | ||
| 12–12 | -0.01 | 21% | 25 Aug → | ||
| 9–13 | 0.11 | 20% | 25 Aug → | ||
| 6–13 | 0.07 | 23% | 23 Aug → | ||
| 13–11 | 0.01 | 14% | 23 Aug → | ||
| 8–13 | 0.07 | 22% | 22 Aug → | ||
| 13–5 | 0.14 | 23% | 19 Aug → | ||
| 10–13 | 0.08 | 24% | 19 Aug → | ||
| 13–3 | 0.09 | 39% | 19 Aug → | ||
| 13–8 | 0.08 | 26% | 18 Aug → | ||
| 4–13 | 0.06 | 16% | 17 Aug → | ||
| 13–10 | 0.09 | 22% | 17 Aug → | ||
| 4–13 | -0.00 | 14% | 17 Aug → | ||
| 13–5 | 0.16 | 16% | 15 Aug → | ||
| 11–13 | 0.10 | 22% | 15 Aug → | ||
| 13–1 | 0.18 | 36% | 15 Aug → | ||
| 13–6 | 0.07 | 16% | 12 Aug → | ||
| 8–13 | 0.11 | 17% | 12 Aug → | ||
| 13–4 | 0.09 | 25% | 11 Aug → | ||
| 7–13 | 0.08 | 24% | 10 Aug → | ||
| 8–13 | 0.06 | 16% | 10 Aug → | ||
| 13–7 | 0.14 | 26% | 9 Aug → | ||
| 13–3 | 0.14 | 33% | 9 Aug → | ||
| 8–13 | 0.10 | 23% | 5 Aug → | ||
| 16–13 | 0.06 | 19% | 4 Aug → | ||
| 13–4 | 0.15 | 20% | 4 Aug → | ||
| 11–13 | 0.06 | 17% | 4 Aug → | ||
| 13–5 | 0.15 | 19% | 3 Aug → | ||
| 13–4 | 0.07 | 20% | 2 Aug → | ||
| 13–10 | 0.07 | 20% | 2 Aug → | ||
| 13–5 | -0.02 | 11% | 30 Jul → | ||
| 13–9 | 0.10 | 35% | 29 Jul → | ||
| 3–13 | 0.01 | 22% | 29 Jul → | ||
| 15–15 | 0.09 | 21% | 29 Jul → | ||
| 13–5 | 0.06 | 8% | 29 Jul → | ||
| 5–13 | 0.02 | 34% | 27 Jul → | ||
| 7–13 | -0.05 | 39% | 27 Jul → | ||
| 10–13 | 0.06 | 15% | 26 Jul → | ||
| 13–3 | 0.23 | 25% | 26 Jul → | ||
| 13–7 | 0.12 | 16% | 26 Jul → | ||
| 15–15 | 0.09 | 19% | 25 Jul → | ||
| 7–13 | -0.03 | 27% | 25 Jul → | ||
| 13–10 | 0.11 | 16% | 25 Jul → | ||
| 4–13 | 0.07 | 31% | 24 Jul → | ||
| 5–13 | 0.07 | 38% | 24 Jul → | ||
| 13–5 | 0.10 | 18% | 23 Jul → | ||
| 13–4 | 0.28 | 28% | 23 Jul → | ||
| 13–3 | 0.29 | 27% | 23 Jul → | ||
| 6–13 | 0.02 | 13% | 23 Jul → | ||
| 8–13 | 0.13 | 23% | 22 Jul → | ||
| 13–2 | 0.18 | 25% | 20 Jul → | ||
| 13–5 | 0.26 | 25% | 20 Jul → | ||
| 5–13 | 0.09 | 23% | 20 Jul → | ||
| 13–7 | 0.11 | 36% | 20 Jul → | ||
| 1–13 | 0.04 | 24% | 16 Jul → | ||
| 13–9 | 0.13 | 36% | 16 Jul → | ||
| 7–13 | 0.07 | 10% | 16 Jul → | ||
| 8–13 | 0.10 | 18% | 15 Jul → | ||
| 13–6 | 0.05 | 27% | 15 Jul → | ||
| 13–6 | 0.08 | 19% | 15 Jul → | ||
| 14–16 | 0.05 | 14% | 14 Jul → | ||
| 10–13 | 0.18 | 30% | 14 Jul → | ||
| 7–13 | 0.06 | 24% | 14 Jul → | ||
| 13–5 | 0.07 | 17% | 12 Jul → | ||
| 13–9 | -0.01 | 29% | 11 Jul → | ||
| 9–13 | -0.05 | 37% | 11 Jul → | ||
| 6–13 | 0.07 | 19% | 9 Jul → | ||
| 13–10 | 0.24 | 37% | 9 Jul → | ||
| 11–13 | 0.18 | 28% | 28 Jun → | ||
| 13–9 | 0.11 | 22% | 20 Jun → | ||
| 11–13 | 0.04 | 21% | 20 Jun → | ||
| 5–13 | 0.09 | 21% | 20 Jun → | ||
| 13–5 | 0.04 | 19% | 20 Jun → | ||
| 6–13 | 0.04 | 19% | 7 Jun → | ||
| 11–13 | 0.07 | 22% | 7 Jun → | ||
| 13–4 | 0.18 | 30% | 7 Jun → | ||
| 2–13 | 0.07 | 24% | 31 May → | ||
| 3–13 | 0.13 | 26% | 31 May → | ||
| 6–13 | 0.02 | 22% | 29 May → | ||
| 12–12 | 0.15 | 15% | 28 May → | ||
| 8–13 | 0.05 | 25% | 20 May → | ||
| 7–13 | 0.10 | 13% | 20 May → | ||
| 13–9 | 0.25 | 24% | 19 May → | ||
| 13–11 | 0.08 | 29% | 15 May → | ||
| 13–7 | 0.15 | 18% | 15 May → | ||
| 12–12 | 0.02 | 20% | 15 May → | ||
| 13–7 | 0.14 | 20% | 15 May → | ||
| 4–13 | 0.07 | 18% | 14 May → | ||
| 10–13 | 0.10 | 30% | 29 Apr → | ||
| 10–13 | 0.05 | 25% | 6 Apr → | ||
| 13–7 | 0.12 | 28% | 31 Mar → | ||
| 12–12 | 0.13 | 18% | 8 Mar → | ||
| 13–11 | 0.12 | 20% | 6 Mar → | ||
| 12–12 | 0.14 | 24% | 6 Mar → | ||
| 13–8 | 0.18 | 32% | 6 Mar → |
Match data via Leetify.