Skunkenxd — CS2 Stats
76561198107983502[U:1:147717774]
Rating over time
Faceit ELO
- At peak — 1,130
- Next: Level 6 at 1,201 — 71 to go
- Reached: Level 5 · Level 4 · Level 3 · Level 2
- Level 5 first seen 2026-08-29
- Level 4 first seen 2026-08-29
Premier CS Rating
- At peak — 18,001
- Next: Pink band at 20,000 — 1,999 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-29
- Blue band first seen 2026-08-29
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 39.2% | 44.2% | 44.9% | 5.7% short |
| Shot accuracy | 13.7% | 11.2% | 11.8% | above |
| Kill/death ratio | 0.90 | 1.04 | 1.04 | 0.14 short |
| Match win rate | 48.7% | 45.3% | 45.3% | above |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
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 80% 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
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 4.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 44 | 19–25 | 43% | -0.03 | |
| C | 15 | 6–9 | 40% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.04 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| S | 7 | 5–2 | 71% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 39 | 56% | 0.85 | 13.3 |
| Anubis | 18 | 50% | 0.90 | 12.3 |
| Inferno | 16 | 50% | 0.72 | 13.8 |
| Dust2 | 12 | 67% | 0.96 | 13.6 |
| Nuke | 8 | 38% | 0.87 | 12.3 |
| Overpass | 8 | 100% | 0.76 | 14.1 |
| Train | 7 | 43% | 0.78 | 11.4 |
| Cache | 5 | 60% | 1.01 | 13.4 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.0647% — below the 15% mark we flag
- 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 24.4861% — 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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | -0.01 | 16% | 5 Jul → | ||
| 13–8 | 0.00 | 5% | 5 Jul → | ||
| 11–13 | -0.05 | 13% | 13 Jun → | ||
| 4–13 | -0.03 | 20% | 13 Jun → | ||
| 9–13 | -0.04 | 15% | 3 Jun → | ||
| 10–13 | -0.02 | 7% | 24 May → | ||
| 9–13 | -0.05 | 3% | 20 May → | ||
| 14–16 | -0.07 | 11% | 9 May → | ||
| 3–13 | -0.05 | 16% | 9 May → | ||
| 13–16 | -0.03 | 16% | 8 May → | ||
| 13–3 | -0.09 | 8% | 8 May → | ||
| 19–17 | -0.04 | 18% | 4 May → | ||
| 16–13 | -0.02 | 9% | 4 May → | ||
| 11–13 | 0.01 | 11% | 4 May → | ||
| 9–13 | -0.05 | 3% | 3 May → | ||
| 17–19 | -0.05 | 17% | 3 May → | ||
| 14–16 | -0.07 | 8% | 3 May → | ||
| 10–13 | -0.02 | 8% | 1 May → | ||
| 13–11 | 0.01 | 17% | 27 Apr → | ||
| 11–13 | 0.01 | 11% | 27 Apr → | ||
| 9–13 | -0.03 | 17% | 27 Apr → | ||
| 10–13 | -0.06 | 15% | 27 Apr → | ||
| 10–13 | -0.01 | 8% | 27 Apr → | ||
| 10–13 | 0.04 | 18% | 27 Apr → | ||
| 8–13 | -0.02 | 12% | 27 Apr → | ||
| 13–7 | -0.10 | 3% | 24 Apr → | ||
| 13–3 | 0.06 | 15% | 24 Apr → | ||
| 13–11 | -0.09 | 8% | 22 Apr → | ||
| 11–13 | -0.04 | 13% | 22 Apr → | ||
| 16–12 | -0.00 | 14% | 18 Apr → | ||
| 13–4 | -0.02 | 10% | 18 Apr → | ||
| 11–13 | -0.01 | 17% | 17 Apr → | ||
| 13–10 | 0.09 | 15% | 17 Apr → | ||
| 16–13 | -0.03 | 10% | 16 Apr → | ||
| 13–11 | -0.09 | 16% | 16 Apr → | ||
| 10–13 | 0.05 | 15% | 15 Apr → | ||
| 13–3 | -0.04 | 8% | 15 Apr → | ||
| 5–13 | -0.04 | 13% | 15 Apr → | ||
| 6–13 | -0.04 | 15% | 15 Apr → | ||
| 13–16 | -0.03 | 6% | 13 Apr → | ||
| 9–13 | -0.06 | 8% | 13 Apr → | ||
| 16–14 | -0.01 | 8% | 13 Apr → | ||
| 3–13 | -0.08 | 0% | 3 Apr → | ||
| 9–13 | -0.02 | 13% | 3 Apr → | ||
| 13–5 | -0.06 | 4% | 3 Apr → | ||
| 4–13 | -0.04 | 16% | 3 Apr → | ||
| 6–13 | -0.02 | 19% | 3 Apr → | ||
| 6–13 | -0.05 | 11% | 1 Apr → | ||
| 13–10 | 0.00 | 14% | 1 Apr → | ||
| 13–11 | -0.04 | 18% | 1 Apr → | ||
| 7–13 | -0.09 | 3% | 17 Mar → | ||
| 13–9 | -0.03 | 31% | 17 Mar → | ||
| 13–9 | 0.02 | 14% | 17 Mar → | ||
| 10–13 | -0.05 | 14% | 17 Mar → | ||
| 11–13 | -0.02 | 20% | 17 Mar → | ||
| 15–15 | -0.08 | 17% | 14 Mar → | ||
| 16–12 | -0.03 | 5% | 14 Mar → | ||
| 13–9 | -0.00 | 9% | 14 Mar → | ||
| 10–13 | -0.02 | 7% | 14 Mar → | ||
| 13–8 | -0.02 | 12% | 13 Mar → | ||
| 13–6 | -0.01 | 17% | 13 Mar → | ||
| 7–13 | -0.01 | 27% | 12 Mar → | ||
| 16–13 | -0.01 | 15% | 12 Mar → | ||
| 3–13 | -0.02 | 19% | 12 Mar → | ||
| 11–13 | -0.03 | 12% | 12 Mar → | ||
| 13–7 | -0.01 | 12% | 11 Mar → | ||
| 13–9 | -0.03 | 10% | 11 Mar → | ||
| 13–11 | -0.03 | 15% | 11 Mar → | ||
| 13–5 | -0.05 | 18% | 6 Mar → | ||
| 13–2 | -0.04 | 9% | 6 Mar → | ||
| 2–13 | -0.09 | 8% | 6 Mar → | ||
| 7–13 | -0.03 | 12% | 5 Mar → | ||
| 16–14 | -0.00 | 14% | 5 Mar → | ||
| 5–13 | -0.06 | 11% | 5 Mar → | ||
| 7–13 | -0.01 | 14% | 5 Mar → | ||
| 13–5 | 0.08 | 14% | 4 Mar → | ||
| 2–13 | -0.09 | 15% | 4 Mar → | ||
| 11–13 | 0.02 | 7% | 4 Mar → | ||
| 13–8 | -0.06 | 8% | 4 Mar → | ||
| 10–13 | -0.07 | 15% | 3 Mar → | ||
| 13–7 | 0.01 | 8% | 3 Mar → | ||
| 6–13 | -0.10 | 17% | 3 Mar → | ||
| 13–11 | 0.01 | 6% | 2 Mar → | ||
| 10–13 | -0.10 | 10% | 2 Mar → | ||
| 11–13 | -0.02 | 10% | 2 Mar → | ||
| 13–8 | 0.04 | 16% | 2 Mar → | ||
| 7–13 | -0.05 | 16% | 2 Mar → | ||
| 13–5 | 0.04 | 22% | 2 Mar → | ||
| 5–13 | -0.03 | 8% | 2 Mar → | ||
| 7–13 | 0.02 | 11% | 1 Mar → | ||
| 13–7 | -0.00 | 11% | 1 Mar → | ||
| 11–13 | -0.04 | 4% | 1 Mar → | ||
| 8–13 | -0.03 | 13% | 1 Mar → | ||
| 13–2 | -0.01 | 7% | 1 Mar → | ||
| 13–3 | -0.01 | 18% | 1 Mar → | ||
| 11–13 | -0.08 | 14% | 1 Mar → | ||
| 13–10 | -0.05 | 11% | 1 Mar → | ||
| 13–8 | 0.06 | 11% | 1 Mar → | ||
| 13–6 | -0.06 | 7% | 1 Mar → | ||
| 13–5 | 0.02 | 18% | 28 Feb → |
Match data via Leetify.