Jaben — CS2 Stats
76561198352886854[U:1:392621126]
Rating over time
Premier CS Rating
- At peak — 18,062
- Next: Pink band at 20,000 — 1,938 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 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 | 45.9% | 44.1% | 47.2% | 1.3% short |
| Shot accuracy | 4.5% | 11.4% | 12.7% | 8.2% short |
| Kill/death ratio | 0.75 | 1.03 | 1.09 | 0.34 short |
| Match win rate | 31.1% | 45.2% | 46.6% | 15.6% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. 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: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 ropz 88% playstyle similarity
Most alike: positioning profile, utility contribution.
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. 651ms 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 6.1/10 (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 | 33 | 18–15 | 55% | 0.00 | |
| B | 17 | 9–8 | 53% | 0.00 | |
| C | 15 | 6–9 | 40% | 0.00 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| S | 12 | 9–3 | 75% | 0.01 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| — | 4 | 1–3 | 25% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 7). 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.
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 39.7369% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.08 | 15% | 29 Aug → | ||
| 13–5 | 0.01 | 7% | 27 Aug → | ||
| 13–10 | -0.03 | 40% | 27 Aug → | ||
| 7–13 | -0.07 | 11% | 21 Jul → | ||
| 13–11 | 0.03 | 17% | 17 Jul → | ||
| 4–13 | -0.12 | 3% | 17 Jul → | ||
| 6–13 | 0.07 | 25% | 12 Jul → | ||
| 6–13 | -0.07 | 33% | 6 Jul → | ||
| 8–13 | -0.03 | 16% | 6 Jul → | ||
| 7–13 | -0.07 | 17% | 6 Jul → | ||
| 7–13 | 0.01 | 30% | 5 Jul → | ||
| 13–11 | -0.04 | 17% | 2 Jul → | ||
| 13–5 | 0.01 | 17% | 2 Jul → | ||
| 11–13 | -0.04 | 18% | 28 Jun → | ||
| 5–13 | -0.10 | 15% | 28 Jun → | ||
| 13–10 | 0.02 | 9% | 26 Jun → | ||
| 13–8 | -0.01 | 15% | 26 Jun → | ||
| 13–8 | 0.02 | 24% | 20 Jun → | ||
| 13–3 | 0.05 | 15% | 20 Jun → | ||
| 16–12 | 0.02 | 17% | 17 Jun → | ||
| 10–13 | -0.01 | 23% | 14 Jun → | ||
| 13–7 | 0.12 | 12% | 14 Jun → | ||
| 9–13 | -0.01 | 15% | 14 Jun → | ||
| 13–9 | 0.00 | 24% | 12 Jun → | ||
| 13–10 | 0.04 | 16% | 12 Jun → | ||
| 13–10 | 0.06 | 19% | 7 Jun → | ||
| 8–13 | -0.03 | 26% | 7 Jun → | ||
| 13–7 | -0.06 | 17% | 7 Jun → | ||
| 10–13 | 0.02 | 17% | 7 Jun → | ||
| 15–15 | -0.03 | 22% | 5 Jun → | ||
| 10–3 | -0.02 | 4% | 5 Jun → | ||
| 13–3 | 0.10 | 33% | 5 Jun → | ||
| 14–16 | -0.06 | 17% | 1 Jun → | ||
| 2–13 | -0.06 | 10% | 1 Jun → | ||
| 7–13 | -0.03 | 12% | 1 Jun → | ||
| 13–8 | 0.03 | 6% | 1 Jun → | ||
| 8–13 | -0.04 | 7% | 1 Jun → | ||
| 13–10 | 0.02 | 13% | 31 May → | ||
| 4–13 | -0.06 | 27% | 31 May → | ||
| 3–9 | -0.05 | 13% | 31 May → | ||
| 13–10 | 0.04 | 16% | 31 May → | ||
| 9–13 | 0.01 | 24% | 31 May → | ||
| 5–0 | -0.01 | 20% | 31 May → | ||
| 13–6 | -0.00 | 13% | 31 May → | ||
| 8–13 | 0.01 | 20% | 31 May → | ||
| 13–5 | 0.06 | 15% | 31 May → | ||
| 16–13 | 0.05 | 11% | 30 May → | ||
| 3–13 | -0.03 | 18% | 30 May → | ||
| 16–13 | 0.00 | 25% | 29 May → | ||
| 13–7 | 0.04 | 12% | 29 May → | ||
| 13–8 | -0.06 | 9% | 29 May → | ||
| 13–7 | 0.06 | 12% | 29 May → | ||
| 11–13 | -0.00 | 11% | 27 May → | ||
| 13–8 | 0.05 | 14% | 27 May → | ||
| 13–4 | -0.00 | 12% | 27 May → | ||
| 3–13 | -0.02 | 26% | 27 May → | ||
| 13–9 | 0.01 | 10% | 26 May → | ||
| 13–1 | 0.06 | 27% | 26 May → | ||
| 13–11 | 0.04 | 11% | 26 May → | ||
| 8–13 | 0.02 | 19% | 25 May → | ||
| 13–16 | -0.03 | 17% | 25 May → | ||
| 13–4 | -0.05 | 13% | 25 May → | ||
| 11–13 | -0.02 | 15% | 25 May → | ||
| 13–9 | 0.08 | 16% | 24 May → | ||
| 13–3 | 0.04 | 16% | 24 May → | ||
| 13–10 | 0.10 | 18% | 22 May → | ||
| 12–4 | 0.03 | 22% | 22 May → | ||
| 13–10 | 0.03 | 16% | 22 May → | ||
| 15–15 | 0.02 | 13% | 22 May → | ||
| 13–9 | 0.01 | 16% | 21 May → | ||
| 11–13 | 0.03 | 4% | 19 May → | ||
| 1–13 | -0.09 | 10% | 17 May → | ||
| 13–6 | 0.03 | 23% | 17 May → | ||
| 8–13 | -0.02 | 19% | 17 May → | ||
| 6–13 | -0.05 | 2% | 13 May → | ||
| 13–8 | 0.02 | 6% | 13 May → | ||
| 13–2 | 0.15 | 23% | 13 May → | ||
| 11–13 | -0.02 | 21% | 12 May → | ||
| 13–6 | 0.02 | 14% | 12 May → | ||
| 6–13 | -0.03 | 28% | 12 May → | ||
| 4–13 | -0.02 | 26% | 11 May → | ||
| 13–10 | 0.02 | 22% | 11 May → | ||
| 8–13 | -0.04 | 15% | 9 May → | ||
| 15–15 | 0.03 | 20% | 9 May → | ||
| 10–13 | -0.04 | 23% | 8 May → | ||
| 13–1 | 0.03 | 18% | 8 May → | ||
| 13–7 | 0.03 | 13% | 7 May → | ||
| 8–13 | -0.08 | 15% | 7 May → | ||
| 11–13 | 0.01 | 12% | 7 May → | ||
| 11–13 | -0.04 | 10% | 7 May → | ||
| 9–13 | -0.03 | 17% | 5 May → | ||
| 13–7 | -0.01 | 4% | 5 May → | ||
| 4–13 | -0.07 | 5% | 5 May → | ||
| 4–13 | -0.06 | 19% | 4 May → | ||
| 8–13 | -0.03 | 5% | 4 May → | ||
| 9–13 | -0.04 | 18% | 4 May → | ||
| 8–13 | 0.04 | 19% | 4 May → | ||
| 2–13 | 0.03 | 16% | 4 May → | ||
| 16–13 | -0.01 | 14% | 4 May → | ||
| 0–2 | -0.07 | 0% | 4 May → |
Match data via Leetify.