Cloggs — CS2 Stats
76561198247624070[U:1:287358342]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 59.3% | 47.2% | 49.9% | above |
| Shot accuracy | 16.7% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.19 | 1.09 | 1.12 | above |
| Match win rate | 56.3% | 46.6% | 48.4% | above |
Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerEffective 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 Twistzz 95% playstyle similarity
Most alike: utility contribution, 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 85 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Reaction time. 600ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
| A | 32 | 20–12 | 63% | 0.02 | |
| C | 28 | 12–16 | 43% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Mirage 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 71% | 1.15 | 16.9 |
| Anubis | 7 | 71% | 1.13 | 20.7 |
| Overpass | 5 | 80% | 1.39 | 18.4 |
| Ancient | 5 | 60% | 1.52 | 16.4 |
| Dust2 | 5 | 100% | 1.25 | 23.8 |
| Nuke | 3 | 67% | 0.80 | 14.7 |
| Vertigo | 2 | 50% | 0.94 | 19.5 |
| Inferno | 2 | 50% | 1.32 | 17.5 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.5008% — 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.
43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 20% | 29 Aug → | ||
| 13–11 | 0.18 | 20% | 29 Aug → | ||
| 13–4 | 0.04 | 26% | 29 Aug → | ||
| 13–4 | 0.12 | 34% | 21 Aug → | ||
| 5–13 | 0.05 | 30% | 11 Aug → | ||
| 7–13 | -0.04 | 24% | 11 Aug → | ||
| 13–8 | 0.10 | 33% | 7 Aug → | ||
| 8–13 | -0.06 | 16% | 7 Aug → | ||
| 3–13 | -0.07 | 17% | 2 Aug → | ||
| 13–4 | 0.04 | 23% | 2 Aug → | ||
| 13–6 | -0.02 | 26% | 2 Aug → | ||
| 8–13 | -0.01 | 24% | 2 Aug → | ||
| 8–13 | 0.03 | 28% | 31 Jul → | ||
| 15–15 | 0.02 | 37% | 31 Jul → | ||
| 13–9 | 0.14 | 44% | 31 Jul → | ||
| 12–16 | 0.01 | 31% | 30 Jul → | ||
| 1–7 | -0.05 | 24% | 30 Jul → | ||
| 13–8 | -0.04 | 18% | 29 Jul → | ||
| 13–6 | 0.07 | 31% | 29 Jul → | ||
| 13–4 | -0.04 | 35% | 29 Jul → | ||
| 16–12 | 0.01 | 27% | 28 Jul → | ||
| 11–13 | 0.03 | 33% | 28 Jul → | ||
| 13–4 | 0.05 | 40% | 28 Jul → | ||
| 8–13 | -0.02 | 39% | 27 Jul → | ||
| 13–9 | 0.05 | 28% | 27 Jul → | ||
| 6–13 | -0.06 | 30% | 27 Jul → | ||
| 7–13 | -0.01 | 35% | 26 Jul → | ||
| 13–11 | -0.01 | 24% | 26 Jul → | ||
| 8–13 | -0.02 | 27% | 26 Jul → | ||
| 13–7 | 0.01 | 21% | 26 Jul → | ||
| 13–10 | 0.05 | 28% | 25 Jul → | ||
| 7–13 | 0.08 | 32% | 25 Jul → | ||
| 9–13 | 0.05 | 22% | 25 Jul → | ||
| 7–13 | -0.04 | 28% | 25 Jul → | ||
| 13–5 | 0.05 | 35% | 25 Jul → | ||
| 11–13 | -0.02 | 25% | 25 Jul → | ||
| 10–5 | 0.07 | 20% | 25 Jul → | ||
| 13–9 | 0.09 | 34% | 22 Jul → | ||
| 13–8 | 0.02 | 20% | 20 Jul → | ||
| 13–4 | -0.04 | 18% | 20 Jul → | ||
| 11–13 | 0.06 | 29% | 20 Jul → | ||
| 13–10 | 0.01 | 19% | 20 Jul → | ||
| 4–13 | -0.07 | 21% | 20 Jul → | ||
| 13–5 | 0.08 | 23% | 17 Jul → | ||
| 13–3 | 0.07 | 26% | 17 Jul → | ||
| 13–3 | -0.02 | 39% | 17 Jul → | ||
| 2–13 | -0.07 | 15% | 17 Jul → | ||
| 15–15 | 0.05 | 31% | 17 Jul → | ||
| 4–13 | -0.03 | 22% | 16 Jul → | ||
| 13–7 | 0.09 | 23% | 16 Jul → | ||
| 11–13 | -0.02 | 23% | 15 Jul → | ||
| 13–9 | 0.04 | 27% | 12 Jul → | ||
| 6–13 | -0.06 | 31% | 12 Jul → | ||
| 13–10 | 0.02 | 25% | 12 Jul → | ||
| 9–13 | -0.04 | 33% | 12 Jul → | ||
| 4–13 | 0.10 | 43% | 10 Jul → | ||
| 8–13 | -0.03 | 34% | 10 Jul → | ||
| 2–13 | -0.06 | 24% | 10 Jul → | ||
| 13–7 | 0.03 | 35% | 9 Jul → | ||
| 13–8 | 0.05 | 23% | 9 Jul → | ||
| 13–10 | 0.08 | 31% | 9 Jul → | ||
| 13–7 | 0.06 | 24% | 9 Jul → | ||
| 13–7 | 0.02 | 31% | 7 Jul → | ||
| 13–11 | -0.00 | 25% | 7 Jul → | ||
| 1–13 | -0.04 | 31% | 6 Jul → | ||
| 16–13 | 0.04 | 26% | 6 Jul → | ||
| 13–1 | -0.04 | 26% | 6 Jul → | ||
| 5–13 | -0.04 | 28% | 6 Jul → | ||
| 10–13 | 0.03 | 18% | 5 Jul → | ||
| 12–16 | 0.03 | 30% | 5 Jul → | ||
| 13–11 | 0.03 | 30% | 4 Jul → | ||
| 11–13 | 0.04 | 31% | 4 Jul → | ||
| 13–7 | 0.04 | 22% | 4 Jul → | ||
| 11–13 | -0.05 | 24% | 4 Jul → | ||
| 9–13 | -0.06 | 16% | 4 Jul → | ||
| 8–13 | 0.04 | 27% | 4 Jul → | ||
| 13–6 | 0.01 | 30% | 4 Jul → | ||
| 16–13 | 0.07 | 28% | 4 Jul → | ||
| 7–13 | 0.02 | 15% | 4 Jul → | ||
| 10–13 | 0.01 | 15% | 29 Jun → | ||
| 13–5 | 0.08 | 35% | 29 Jun → | ||
| 10–13 | -0.03 | 12% | 26 Jun → | ||
| 13–8 | -0.02 | 22% | 26 Jun → | ||
| 13–11 | 0.06 | 20% | 26 Jun → | ||
| 13–11 | 0.00 | 32% | 26 Jun → | ||
| 11–13 | -0.01 | 23% | 26 Jun → | ||
| 11–13 | 0.09 | 31% | 24 Jun → | ||
| 13–3 | 0.01 | 27% | 24 Jun → | ||
| 13–7 | 0.08 | 32% | 24 Jun → | ||
| 6–13 | 0.02 | 17% | 24 Jun → | ||
| 14–16 | -0.02 | 28% | 24 Jun → | ||
| 10–13 | -0.00 | 34% | 24 Jun → | ||
| 13–11 | 0.01 | 33% | 24 Jun → | ||
| 6–13 | -0.02 | 35% | 23 Jun → | ||
| 13–10 | 0.09 | 30% | 23 Jun → | ||
| 16–13 | -0.01 | 31% | 23 Jun → | ||
| 16–14 | 0.01 | 28% | 18 Jun → | ||
| 13–11 | 0.05 | 33% | 14 Jun → | ||
| 13–11 | 0.02 | 13% | 14 Jun → | ||
| 16–14 | -0.03 | 16% | 14 Jun → |
Match data via Leetify.
Recent teammates
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