skibidy — CS2 Stats
76561198109804959[U:1:149539231]✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 47.8% | 52.8% | 4.9% short |
| Shot accuracy | 16.9% | 13.7% | above |
| Kill/death ratio | 1.17 | 1.08 | above |
| Match win rate | 47.8% | 49.2% | 1.4% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower 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
Areas to improve
Reaction time. 616ms 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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| D | 33 | 10–23 | 30% | 0.02 | |
| A | 31 | 18–13 | 58% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.11 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| agency | — | 2 | 0–2 | 0% | 0.01 |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| grail | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 33). 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 |
|---|---|---|---|---|
| Mirage | 53 | 68% | 1.43 | 17.9 |
| Dust2 | 31 | 68% | 1.34 | 17.8 |
| Inferno | 24 | 62% | 1.17 | 17.0 |
| Ancient | 12 | 50% | 1.32 | 18.1 |
| Anubis | 8 | 75% | 1.72 | 20.9 |
| Overpass | 4 | 50% | 1.49 | 15.5 |
| Vertigo | 4 | 75% | 1.64 | 21.5 |
| Nuke | 2 | 50% | 0.88 | 17.0 |
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
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 33.0383% — 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.
30% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 9% | 15 Jul → | ||
| 13–8 | 0.01 | 31% | 15 Jul → | ||
| 4–13 | -0.03 | 30% | 15 Jul → | ||
| 13–6 | -0.03 | 35% | 15 Jul → | ||
| 15–15 | -0.03 | 11% | 6 Jul → | ||
| 13–5 | 0.04 | 37% | 6 Jul → | ||
| 13–10 | 0.04 | 14% | 6 Jul → | ||
| 16–14 | -0.01 | 22% | 5 Jul → | ||
| 10–13 | 0.03 | 18% | 4 Jul → | ||
| 0–7 | -0.12 | 18% | 1 Jul → | ||
| 10–13 | 0.05 | 27% | 1 Jul → | ||
| 13–7 | 0.10 | 18% | 27 Jun → | ||
| 13–11 | 0.05 | 17% | 27 Jun → | ||
| 13–4 | -0.03 | 19% | 27 Jun → | ||
| 7–13 | 0.00 | 17% | 27 Jun → | ||
| 5–13 | -0.01 | 30% | 27 Jun → | ||
| 11–13 | 0.01 | 24% | 26 Jun → | ||
| 2–13 | 0.03 | 26% | 26 Jun → | ||
| 13–9 | -0.01 | 16% | 25 Jun → | ||
| 7–13 | 0.01 | 27% | 24 Jun → | ||
| 13–11 | -0.01 | 22% | 24 Jun → | ||
| 13–8 | 0.02 | 15% | 23 Jun → | ||
| 14–16 | 0.01 | 16% | 16 Jun → | ||
| 13–10 | 0.09 | 22% | 16 Apr → | ||
| 6–13 | -0.03 | 25% | 11 Apr → | ||
| 8–13 | -0.03 | 23% | 1 Apr → | ||
| 1–13 | -0.04 | 42% | 1 Apr → | ||
| 13–6 | 0.01 | 26% | 1 Apr → | ||
| 12–1 | 0.03 | 14% | 1 Apr → | ||
| 10–13 | 0.05 | 25% | 31 Mar → | ||
| 8–13 | -0.04 | 19% | 31 Mar → | ||
| 13–9 | 0.01 | 20% | 31 Mar → | ||
| 13–8 | 0.04 | 12% | 17 Mar → | ||
| 7–13 | -0.01 | 18% | 17 Mar → | ||
| 9–13 | 0.00 | 26% | 16 Mar → | ||
| 13–4 | 0.16 | 49% | 16 Mar → | ||
| 13–9 | 0.07 | 27% | 16 Mar → | ||
| 8–13 | 0.01 | 30% | 10 Mar → | ||
| 16–13 | 0.04 | 21% | 10 Mar → | ||
| 10–13 | 0.02 | 12% | 5 Mar → | ||
| 13–3 | 0.02 | 26% | 5 Mar → | ||
| 13–5 | 0.09 | 17% | 27 Jan → | ||
| 13–7 | -0.05 | 17% | 23 Jan → | ||
| 7–7 | 0.04 | 16% | 15 Jan → | ||
| 13–11 | 0.01 | 26% | 15 Jan → | ||
| 13–10 | 0.00 | 21% | 15 Jan → | ||
| 9–13 | -0.00 | 25% | 15 Jan → | ||
| 13–11 | -0.02 | 19% | 7 Dec → | ||
| 13–10 | 0.03 | 24% | 7 Dec → | ||
| 4–13 | -0.07 | 16% | 23 Oct → | ||
| 13–9 | -0.01 | 20% | 23 Oct → | ||
| 6–13 | -0.00 | 23% | 19 Oct → | ||
| 9–13 | -0.00 | 21% | 9 Sept → | ||
| 8–8 | -0.10 | 3% | 30 Aug → | ||
| 9–2 | 0.01 | 30% | 30 Aug → | ||
| 5–13 | -0.00 | 33% | 30 Aug → | ||
| 11–13 | 0.04 | 24% | 22 Aug → | ||
| 5–13 | 0.01 | 39% | 16 Aug → | ||
| 12–12 | 0.08 | 32% | 13 Aug → | ||
| 8–13 | 0.01 | 25% | 5 Jul → | ||
| 11–13 | 0.03 | 18% | 1 Jul → | ||
| 13–10 | 0.14 | 20% | 28 Jun → | ||
| 19–17 | 0.02 | 19% | 24 Jun → | ||
| 8–13 | 0.05 | 26% | 24 Jun → | ||
| 12–12 | 0.10 | 29% | 23 Jun → | ||
| 9–13 | 0.06 | 32% | 23 Jun → | ||
| 13–3 | 0.04 | 32% | 23 Jun → | ||
| 3–9 | -0.13 | 12% | 23 Jun → | ||
| 5–9 | 0.01 | 39% | 22 Jun → | ||
| 7–0 | 0.07 | 6% | 22 Jun → | ||
| 6–3 | -0.02 | 14% | 22 Jun → | ||
| 9–3 | 0.19 | 43% | 22 Jun → | ||
| 13–2 | -0.01 | 18% | 21 Jun → | ||
| 5–13 | -0.01 | 32% | 16 Jun → | ||
| 13–10 | 0.08 | 23% | 7 Jun → | ||
| 12–12 | 0.01 | 21% | 6 Jun → | ||
| 12–12 | 0.06 | 27% | 5 Jun → | ||
| 9–13 | 0.08 | 23% | 3 Jun → | ||
| 13–7 | -0.04 | 17% | 2 Jun → | ||
| 12–12 | 0.02 | 27% | 28 May → | ||
| 1–13 | -0.07 | 23% | 28 May → | ||
| 9–13 | 0.03 | 14% | 27 May → | ||
| 13–9 | 0.07 | 18% | 20 May → | ||
| 13–1 | 0.10 | 30% | 20 May → | ||
| 7–13 | 0.06 | 43% | 20 May → | ||
| 1–13 | -0.04 | 35% | 17 May → | ||
| agency | 12–12 | 0.04 | 17% | 15 May → | |
| 11–13 | -0.00 | 24% | 15 May → | ||
| 13–11 | 0.06 | 26% | 15 May → | ||
| 1–13 | -0.06 | 20% | 11 May → | ||
| 3–13 | -0.07 | 14% | 10 May → | ||
| 10–13 | 0.01 | 29% | 10 May → | ||
| 8–13 | -0.03 | 14% | 10 May → | ||
| 12–12 | 0.12 | 17% | 9 May → | ||
| agency | 2–13 | -0.02 | 64% | 9 May → | |
| grail | 13–3 | 0.04 | 20% | 9 May → | |
| 11–13 | 0.02 | 23% | 7 May → | ||
| 13–8 | 0.06 | 23% | 7 May → | ||
| 16–13 | 0.04 | 24% | 26 Apr → | ||
| 13–8 | 0.01 | 30% | 26 Apr → |
Match data via Leetify.