skipps — CS2 Stats
US76561198120627148[U:1:160361420]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Effective 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 88% 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. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 589ms 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 5.6/10 (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 | 31 | 18–13 | 58% | -0.00 | |
| B | 21 | 11–10 | 52% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| C | 16 | 6–10 | 38% | 0.00 | |
| S | 5 | 4–1 | 80% | 0.06 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 2 | 2–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 22 | 55% | 1.03 | 17.4 |
| Mirage | 15 | 60% | 0.91 | 13.9 |
| Anubis | 11 | 18% | 0.79 | 15.2 |
| Inferno | 9 | 44% | 1.19 | 14.4 |
| Vertigo | 8 | 62% | 1.21 | 19.3 |
| Ancient | 7 | 57% | 1.02 | 13.9 |
| Nuke | 6 | 33% | 1.03 | 14.0 |
| Overpass | 3 | 67% | 1.14 | 19.3 |
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 35.1478% — 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.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.07 | 17% | 31 Jul → | ||
| 10–13 | -0.04 | 24% | 26 Jun → | ||
| 13–1 | 0.06 | 32% | 21 Jun → | ||
| 7–13 | 0.02 | 33% | 2 Jun → | ||
| 13–9 | 0.11 | 26% | 11 May → | ||
| 13–9 | -0.02 | 11% | 7 May → | ||
| 13–5 | 0.05 | 25% | 7 May → | ||
| 8–13 | 0.10 | 25% | 7 May → | ||
| 13–16 | 0.03 | 21% | 2 May → | ||
| 13–4 | 0.08 | 30% | 29 Apr → | ||
| 13–4 | 0.10 | 30% | 29 Apr → | ||
| 13–11 | 0.04 | 20% | 19 Apr → | ||
| 7–13 | -0.00 | 15% | 19 Apr → | ||
| 6–13 | -0.06 | 10% | 5 Apr → | ||
| 6–13 | -0.06 | 26% | 5 Apr → | ||
| 7–13 | -0.04 | 15% | 5 Apr → | ||
| 13–9 | 0.12 | 17% | 4 Apr → | ||
| 5–13 | -0.02 | 27% | 27 Mar → | ||
| 16–13 | -0.02 | 22% | 26 Mar → | ||
| 13–10 | 0.02 | 25% | 26 Mar → | ||
| 13–8 | 0.06 | 32% | 25 Mar → | ||
| 6–13 | -0.04 | 18% | 25 Mar → | ||
| 13–10 | -0.00 | 21% | 25 Mar → | ||
| 3–13 | -0.08 | 6% | 21 Mar → | ||
| 13–10 | 0.02 | 27% | 21 Mar → | ||
| 13–4 | 0.05 | 30% | 21 Mar → | ||
| 2–13 | -0.03 | 40% | 21 Mar → | ||
| 13–11 | -0.01 | 31% | 19 Mar → | ||
| 13–7 | -0.04 | 17% | 19 Mar → | ||
| 13–7 | -0.03 | 16% | 19 Mar → | ||
| 10–13 | 0.03 | 17% | 18 Mar → | ||
| 16–14 | -0.02 | 15% | 18 Mar → | ||
| 13–11 | -0.02 | 19% | 17 Mar → | ||
| 16–14 | -0.01 | 23% | 17 Mar → | ||
| 8–13 | 0.01 | 21% | 17 Mar → | ||
| 10–13 | 0.01 | 16% | 16 Mar → | ||
| 16–12 | -0.01 | 28% | 16 Mar → | ||
| 13–5 | 0.06 | 27% | 16 Mar → | ||
| 13–9 | 0.04 | 31% | 16 Mar → | ||
| 13–3 | 0.02 | 28% | 15 Mar → | ||
| 2–13 | -0.09 | 17% | 15 Mar → | ||
| 11–13 | 0.04 | 33% | 15 Mar → | ||
| 15–15 | -0.03 | 29% | 14 Mar → | ||
| 13–10 | 0.05 | 24% | 14 Mar → | ||
| 5–13 | 0.00 | 17% | 14 Mar → | ||
| 13–6 | -0.02 | 22% | 13 Mar → | ||
| 9–13 | -0.00 | 34% | 13 Mar → | ||
| 7–13 | -0.01 | 13% | 13 Mar → | ||
| 16–13 | -0.02 | 19% | 13 Mar → | ||
| 13–6 | 0.00 | 13% | 13 Mar → | ||
| 13–10 | -0.00 | 19% | 12 Mar → | ||
| 13–11 | -0.00 | 23% | 12 Mar → | ||
| 13–9 | -0.05 | 17% | 12 Mar → | ||
| 11–13 | -0.02 | 15% | 12 Mar → | ||
| 13–5 | 0.08 | 30% | 12 Mar → | ||
| 14–16 | -0.04 | 21% | 12 Mar → | ||
| 11–13 | 0.05 | 16% | 12 Mar → | ||
| 15–15 | -0.01 | 25% | 11 Mar → | ||
| 8–13 | 0.05 | 17% | 11 Mar → | ||
| 13–4 | 0.00 | 18% | 11 Mar → | ||
| 15–15 | 0.05 | 29% | 10 Mar → | ||
| 13–8 | 0.06 | 31% | 10 Mar → | ||
| 13–0 | 0.02 | 47% | 10 Mar → | ||
| 5–13 | -0.02 | 29% | 10 Mar → | ||
| 12–16 | 0.03 | 34% | 9 Mar → | ||
| 8–13 | 0.01 | 30% | 9 Mar → | ||
| 8–13 | -0.01 | 18% | 8 Mar → | ||
| 13–10 | 0.10 | 20% | 8 Mar → | ||
| 16–13 | -0.04 | 20% | 8 Mar → | ||
| 11–13 | -0.05 | 25% | 7 Mar → | ||
| 5–13 | -0.04 | 30% | 7 Mar → | ||
| 13–11 | -0.03 | 20% | 3 Mar → | ||
| 15–15 | -0.02 | 11% | 3 Mar → | ||
| 13–2 | -0.05 | 20% | 3 Mar → | ||
| 12–16 | -0.01 | 31% | 3 Mar → | ||
| 13–5 | -0.02 | 30% | 3 Mar → | ||
| 13–7 | 0.04 | 11% | 3 Mar → | ||
| 13–4 | 0.02 | 26% | 2 Mar → | ||
| 13–6 | 0.10 | 16% | 2 Mar → | ||
| 15–15 | -0.01 | 23% | 2 Mar → | ||
| 7–13 | -0.00 | 21% | 2 Mar → | ||
| 13–6 | -0.05 | 19% | 2 Mar → | ||
| 3–13 | -0.13 | 19% | 2 Mar → | ||
| 13–8 | 0.04 | 19% | 1 Mar → | ||
| 5–13 | -0.06 | 19% | 1 Mar → | ||
| 13–5 | 0.01 | 29% | 1 Mar → | ||
| 15–15 | 0.06 | 16% | 1 Mar → | ||
| 13–11 | 0.07 | 35% | 1 Mar → | ||
| 13–10 | 0.08 | 19% | 1 Mar → | ||
| 13–10 | 0.06 | 11% | 1 Mar → | ||
| 13–10 | 0.04 | 27% | 1 Mar → | ||
| 10–13 | 0.08 | 33% | 27 Feb → | ||
| 13–11 | 0.05 | 20% | 27 Feb → | ||
| 2–13 | 0.01 | 25% | 27 Feb → | ||
| 7–13 | 0.05 | 14% | 25 Feb → | ||
| 15–15 | -0.01 | 30% | 25 Feb → | ||
| 5–13 | -0.00 | 31% | 25 Feb → | ||
| 16–13 | 0.02 | 26% | 24 Feb → | ||
| 16–14 | 0.01 | 17% | 24 Feb → | ||
| 10–13 | -0.07 | 19% | 24 Feb → |
Match data via Leetify.