jorgewtf — CS2 Stats
76561198193553427[U:1:233287699]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 26.7% | 44.1% | 47.2% | 20.6% short |
| Shot accuracy | 13.3% | 11.4% | 12.7% | above |
| Kill/death ratio | 0.95 | 1.03 | 1.09 | 0.14 short |
| Match win rate | 42.3% | 45.2% | 46.6% | 4.4% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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. 658ms 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 5.9/10 (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 |
|---|---|---|---|---|---|
| A | 30 | 17–13 | 57% | 0.03 | |
| A | 23 | 14–9 | 61% | 0.03 | |
| S | 12 | 9–3 | 75% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.09 | |
| D | 6 | 0–6 | 0% | -0.00 | |
| D | 6 | 1–5 | 17% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.07 |
Across the last 100 tracked matches.
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 resultsWWWLL
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 31.0828% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.13 | 45% | 17 Aug → | ||
| 5–13 | -0.01 | 50% | 15 Aug → | ||
| 16–12 | 0.01 | 29% | 12 Aug → | ||
| 11–13 | -0.07 | 26% | 9 Aug → | ||
| 13–5 | 0.02 | 32% | 3 Aug → | ||
| 13–11 | 0.06 | 29% | 3 Aug → | ||
| 11–13 | -0.03 | 34% | 3 Aug → | ||
| 6–13 | -0.02 | 33% | 3 Aug → | ||
| 13–8 | 0.11 | 36% | 3 Aug → | ||
| 13–6 | -0.02 | 36% | 2 Aug → | ||
| 13–9 | 0.00 | 31% | 27 Jul → | ||
| 10–13 | 0.16 | 33% | 27 Jul → | ||
| 8–13 | 0.04 | 27% | 27 Jul → | ||
| 13–7 | -0.04 | 34% | 27 Jul → | ||
| 13–5 | -0.03 | 33% | 26 Jul → | ||
| 6–13 | -0.04 | 22% | 24 Jul → | ||
| 13–3 | 0.08 | 30% | 24 Jul → | ||
| 11–13 | 0.01 | 33% | 20 Jul → | ||
| 11–13 | -0.07 | 14% | 20 Jul → | ||
| 6–13 | 0.11 | 32% | 20 Jul → | ||
| 13–9 | -0.02 | 24% | 20 Jul → | ||
| 9–13 | 0.01 | 29% | 19 Jul → | ||
| 13–5 | 0.04 | 30% | 19 Jul → | ||
| 6–13 | -0.04 | 59% | 19 Jul → | ||
| 13–2 | 0.10 | 35% | 19 Jul → | ||
| 13–7 | 0.04 | 29% | 18 Jul → | ||
| 13–8 | 0.07 | 36% | 18 Jul → | ||
| 13–7 | 0.06 | 32% | 17 Jul → | ||
| 13–8 | 0.00 | 16% | 17 Jul → | ||
| 15–15 | -0.06 | 24% | 15 Jul → | ||
| 12–16 | 0.02 | 35% | 15 Jul → | ||
| 9–13 | -0.03 | 49% | 13 Jul → | ||
| 12–16 | 0.06 | 33% | 13 Jul → | ||
| 6–13 | 0.03 | 34% | 13 Jul → | ||
| 10–13 | 0.12 | 38% | 13 Jul → | ||
| 7–13 | -0.02 | 32% | 13 Jul → | ||
| 10–13 | 0.04 | 48% | 13 Jul → | ||
| 13–8 | -0.00 | 31% | 13 Jul → | ||
| 10–13 | 0.02 | 45% | 12 Jul → | ||
| 13–11 | -0.04 | 19% | 12 Jul → | ||
| 2–13 | -0.03 | 37% | 12 Jul → | ||
| 6–13 | 0.01 | 30% | 12 Jul → | ||
| 7–13 | 0.10 | 25% | 12 Jul → | ||
| 13–6 | -0.00 | 44% | 12 Jul → | ||
| 0–13 | -0.15 | 23% | 11 Jul → | ||
| 9–13 | -0.00 | 34% | 11 Jul → | ||
| 13–7 | -0.04 | 26% | 11 Jul → | ||
| 13–6 | 0.00 | 33% | 10 Jul → | ||
| 13–3 | 0.03 | 31% | 10 Jul → | ||
| 8–13 | -0.05 | 23% | 10 Jul → | ||
| 8–13 | 0.05 | 24% | 10 Jul → | ||
| 15–15 | -0.03 | 39% | 9 Jul → | ||
| 11–13 | 0.00 | 28% | 9 Jul → | ||
| 13–4 | 0.07 | 41% | 9 Jul → | ||
| 13–11 | 0.06 | 26% | 7 Jul → | ||
| 13–5 | 0.08 | 27% | 1 Jul → | ||
| 4–13 | 0.07 | 33% | 1 Jul → | ||
| 13–10 | 0.00 | 32% | 1 Jul → | ||
| 6–13 | -0.04 | 23% | 1 Jul → | ||
| 13–8 | -0.01 | 29% | 1 Jul → | ||
| 14–16 | 0.02 | 15% | 30 Jun → | ||
| 13–3 | 0.09 | 38% | 30 Jun → | ||
| 16–14 | -0.03 | 25% | 30 Jun → | ||
| 13–4 | 0.09 | 28% | 30 Jun → | ||
| 13–9 | -0.00 | 35% | 29 Jun → | ||
| 6–13 | 0.08 | 32% | 29 Jun → | ||
| 5–11 | -0.01 | 16% | 29 Jun → | ||
| 13–10 | 0.12 | 24% | 29 Jun → | ||
| 6–9 | 0.01 | 25% | 29 Jun → | ||
| 9–4 | 0.22 | 27% | 29 Jun → | ||
| 4–9 | -0.10 | 16% | 29 Jun → | ||
| 9–3 | 0.15 | 46% | 29 Jun → | ||
| 13–8 | -0.04 | 24% | 28 Jun → | ||
| 15–15 | -0.03 | 18% | 28 Jun → | ||
| 13–9 | 0.02 | 41% | 28 Jun → | ||
| 11–13 | -0.01 | 24% | 28 Jun → | ||
| 9–3 | 0.02 | 35% | 28 Jun → | ||
| 9–0 | 0.34 | 37% | 28 Jun → | ||
| 13–10 | 0.13 | 30% | 28 Jun → | ||
| 11–13 | 0.09 | 34% | 28 Jun → | ||
| 9–5 | 0.13 | 39% | 27 Jun → | ||
| 9–2 | 0.26 | 30% | 27 Jun → | ||
| 8–8 | -0.03 | 67% | 27 Jun → | ||
| 9–13 | 0.01 | 27% | 26 Jun → | ||
| 13–5 | 0.01 | 26% | 24 Jun → | ||
| 13–3 | -0.00 | 44% | 23 Jun → | ||
| 13–11 | -0.03 | 34% | 23 Jun → | ||
| 13–3 | 0.06 | 49% | 23 Jun → | ||
| 10–13 | 0.03 | 26% | 22 Jun → | ||
| 16–13 | 0.01 | 35% | 22 Jun → | ||
| 13–11 | 0.03 | 30% | 22 Jun → | ||
| 6–13 | 0.01 | 35% | 22 Jun → | ||
| 9–3 | 0.15 | 41% | 22 Jun → | ||
| 13–10 | 0.10 | 26% | 22 Jun → | ||
| 6–13 | 0.01 | 39% | 22 Jun → | ||
| 13–11 | -0.03 | 45% | 21 Jun → | ||
| 13–10 | 0.03 | 36% | 21 Jun → | ||
| 13–9 | 0.03 | 42% | 21 Jun → | ||
| 13–10 | -0.02 | 27% | 21 Jun → | ||
| 13–9 | 0.06 | 38% | 21 Jun → |
Match data via Leetify.