JBL (Wigger) — CS2 Stats
US76561198139852095[U:1:179586367]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 35.3% | 41.7% | 44.1% | 8.8% short |
| Shot accuracy | 7.1% | 8.8% | 11.4% | 4.3% short |
| Kill/death ratio | 0.67 | 0.97 | 1.03 | 0.36 short |
| Match win rate | 30.7% | 43.8% | 45.2% | 14.5% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +0pp win rate · +0.01 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 ropz 87% playstyle similarity
Most alike: utility contribution, 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. 646ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | -0.02 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| A | 16 | 10–6 | 63% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.00 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| B | 6 | 3–3 | 50% | 0.02 |
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.
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 11.5853% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4798 — below the 0.5 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 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.09 | 15% | 25 Aug → | ||
| 13–5 | 0.04 | 28% | 25 Aug → | ||
| 13–11 | 0.02 | 13% | 25 Aug → | ||
| 8–13 | -0.06 | 13% | 18 Aug → | ||
| 13–7 | -0.02 | 9% | 11 Aug → | ||
| 8–13 | -0.01 | 15% | 8 Aug → | ||
| 6–13 | -0.09 | 20% | 7 Aug → | ||
| 13–8 | -0.03 | 8% | 7 Aug → | ||
| 7–13 | -0.03 | 6% | 6 Aug → | ||
| 10–13 | 0.02 | 4% | 6 Aug → | ||
| 7–13 | -0.06 | 8% | 3 Aug → | ||
| 10–13 | -0.02 | 19% | 3 Aug → | ||
| 11–13 | -0.00 | 7% | 1 Aug → | ||
| 16–13 | 0.02 | 4% | 1 Aug → | ||
| 13–11 | -0.00 | 8% | 1 Aug → | ||
| 13–10 | 0.06 | 14% | 1 Aug → | ||
| 4–13 | -0.12 | 6% | 1 Aug → | ||
| 10–13 | -0.02 | 15% | 31 Jul → | ||
| 13–6 | -0.02 | 11% | 31 Jul → | ||
| 13–7 | 0.01 | 10% | 31 Jul → | ||
| 13–8 | 0.02 | 19% | 30 Jul → | ||
| 13–7 | -0.01 | 24% | 30 Jul → | ||
| 13–10 | -0.05 | 7% | 29 Jul → | ||
| 6–13 | 0.00 | 11% | 29 Jul → | ||
| 9–13 | 0.00 | 10% | 24 Jul → | ||
| 13–7 | 0.00 | 14% | 24 Jul → | ||
| 13–10 | -0.01 | 19% | 24 Jul → | ||
| 10–13 | -0.01 | 9% | 22 Jul → | ||
| 10–13 | -0.02 | 0% | 22 Jul → | ||
| 10–13 | -0.04 | 8% | 9 Jul → | ||
| 13–10 | 0.01 | 3% | 9 Jul → | ||
| 8–13 | 0.04 | 12% | 7 Jul → | ||
| 4–9 | -0.15 | 8% | 7 Jul → | ||
| 8–13 | -0.03 | 4% | 7 Jul → | ||
| 13–8 | 0.12 | 18% | 6 Jul → | ||
| 7–13 | -0.03 | 8% | 5 Jul → | ||
| 9–13 | -0.07 | 4% | 2 Jul → | ||
| 6–13 | -0.06 | 15% | 2 Jul → | ||
| 13–3 | -0.04 | 10% | 29 Jun → | ||
| 11–13 | -0.02 | 7% | 29 Jun → | ||
| 15–15 | 0.03 | 13% | 28 Jun → | ||
| 4–13 | -0.05 | 14% | 28 Jun → | ||
| 13–10 | -0.03 | 11% | 28 Jun → | ||
| 10–13 | 0.04 | 11% | 27 Jun → | ||
| 13–7 | -0.02 | 13% | 27 Jun → | ||
| 6–13 | -0.02 | 10% | 24 Jun → | ||
| 13–6 | -0.05 | 3% | 24 Jun → | ||
| 13–9 | -0.01 | 13% | 24 Jun → | ||
| 10–13 | -0.01 | 21% | 24 Jun → | ||
| 13–3 | -0.00 | 10% | 23 Jun → | ||
| 7–13 | -0.01 | 6% | 23 Jun → | ||
| 13–7 | 0.05 | 14% | 23 Jun → | ||
| 13–4 | 0.02 | 22% | 18 Jun → | ||
| 13–11 | 0.04 | 15% | 18 Jun → | ||
| 13–8 | -0.01 | 14% | 18 Jun → | ||
| 11–13 | -0.03 | 20% | 15 Jun → | ||
| 13–7 | -0.02 | 12% | 15 Jun → | ||
| 13–10 | -0.06 | 5% | 15 Jun → | ||
| 13–7 | 0.02 | 11% | 11 Jun → | ||
| 13–10 | 0.04 | 4% | 11 Jun → | ||
| 10–13 | 0.00 | 8% | 11 Jun → | ||
| 13–7 | 0.00 | 10% | 9 Jun → | ||
| 13–10 | 0.00 | 5% | 9 Jun → | ||
| 13–8 | -0.03 | 10% | 8 Jun → | ||
| 13–6 | 0.00 | 13% | 8 Jun → | ||
| 11–13 | 0.03 | 14% | 4 Jun → | ||
| 16–12 | -0.07 | 5% | 4 Jun → | ||
| 8–13 | 0.03 | 16% | 4 Jun → | ||
| 6–13 | 0.00 | 5% | 3 Jun → | ||
| 13–6 | 0.04 | 8% | 3 Jun → | ||
| 10–13 | -0.01 | 4% | 29 May → | ||
| 13–8 | 0.02 | 8% | 29 May → | ||
| 13–8 | 0.00 | 11% | 29 May → | ||
| 15–15 | 0.01 | 15% | 29 May → | ||
| 9–13 | -0.04 | 10% | 27 May → | ||
| 11–13 | -0.03 | 13% | 27 May → | ||
| 11–13 | 0.04 | 11% | 26 May → | ||
| 11–13 | -0.02 | 13% | 26 May → | ||
| 4–12 | -0.09 | 10% | 25 May → | ||
| 13–7 | 0.01 | 8% | 25 May → | ||
| 13–8 | 0.01 | 10% | 22 May → | ||
| 11–13 | -0.02 | 16% | 22 May → | ||
| 11–13 | 0.07 | 11% | 22 May → | ||
| 4–13 | -0.09 | 0% | 19 May → | ||
| 13–1 | 0.04 | 12% | 19 May → | ||
| 4–13 | 0.03 | 6% | 19 May → | ||
| 13–9 | -0.01 | 11% | 19 May → | ||
| 13–11 | -0.03 | 7% | 19 May → | ||
| 5–13 | -0.07 | 7% | 18 May → | ||
| 8–13 | -0.07 | 7% | 18 May → | ||
| 13–11 | -0.03 | 6% | 18 May → | ||
| 16–12 | -0.02 | 5% | 17 May → | ||
| 13–2 | -0.02 | 17% | 17 May → | ||
| 4–13 | -0.06 | 7% | 17 May → | ||
| 13–3 | -0.08 | 7% | 17 May → | ||
| 13–3 | -0.01 | 12% | 17 May → | ||
| 13–10 | -0.04 | 9% | 17 May → | ||
| 11–13 | 0.04 | 17% | 17 May → | ||
| 6–13 | -0.09 | 12% | 17 May → | ||
| 11–13 | -0.11 | 3% | 15 May → |
Match data via Leetify.