jump — CS2 Stats
76561198094610402[U:1:134344674]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 38.8% | 48.1% | 9.2% short |
| Shot accuracy | 17.3% | 12.9% | above |
| Kill/death ratio | 0.99 | 1.08 | 0.09 short |
| Match win rate | 40.0% | 46.5% | 6.5% 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: -40pp 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 b1t 88% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 673ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
| B | 35 | 17–18 | 49% | -0.00 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| boulder | C | 5 | 2–3 | 40% | 0.01 |
| fachwerk | — | 2 | 1–1 | 50% | -0.04 |
| — | 2 | 1–1 | 50% | 0.04 | |
| italy | — | 1 | 0–1 | 0% | -0.07 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 14 | 50% | 1.13 | 16.6 |
| Mirage | 14 | 57% | 0.96 | 14.9 |
| Ancient | 12 | 58% | 1.14 | 18.8 |
| Dust2 | 8 | 38% | 1.28 | 16.9 |
| Train | 6 | 33% | 0.96 | 16.0 |
| Nuke | 5 | 60% | 1.07 | 16.8 |
| Inferno | 5 | 80% | 1.20 | 14.8 |
| Cache | 3 | 67% | 0.70 | 10.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.03 | 19% | 19 Aug → | ||
| 12–12 | 0.04 | 20% | 19 Aug → | ||
| 6–13 | -0.03 | 23% | 18 Aug → | ||
| 2–13 | -0.02 | 12% | 18 Aug → | ||
| 13–7 | -0.00 | 11% | 18 Aug → | ||
| 2–9 | -0.12 | 8% | 18 Aug → | ||
| 5–9 | -0.01 | 19% | 18 Aug → | ||
| 9–13 | 0.01 | 16% | 14 Aug → | ||
| 10–13 | -0.03 | 14% | 14 Aug → | ||
| 2–13 | -0.03 | 14% | 14 Aug → | ||
| 2–13 | -0.02 | 17% | 12 Aug → | ||
| 13–6 | 0.00 | 23% | 11 Aug → | ||
| boulder | 6–13 | 0.03 | 25% | 11 Aug → | |
| 13–2 | -0.01 | 17% | 11 Aug → | ||
| 12–12 | 0.03 | 7% | 11 Aug → | ||
| 4–13 | -0.09 | 13% | 11 Aug → | ||
| 12–12 | -0.02 | 18% | 10 Aug → | ||
| 9–7 | -0.01 | 23% | 9 Aug → | ||
| 10–1 | 0.00 | 9% | 9 Aug → | ||
| 13–9 | 0.04 | 14% | 7 Aug → | ||
| 13–10 | -0.02 | 21% | 7 Aug → | ||
| 2–8 | 0.02 | 15% | 6 Aug → | ||
| 12–12 | -0.04 | 9% | 6 Aug → | ||
| 13–11 | 0.05 | 16% | 6 Aug → | ||
| 13–0 | 0.13 | 18% | 5 Aug → | ||
| 9–13 | -0.01 | 13% | 4 Aug → | ||
| 9–13 | 0.01 | 20% | 4 Aug → | ||
| 10–13 | -0.09 | 24% | 3 Aug → | ||
| 7–13 | -0.05 | 21% | 3 Aug → | ||
| 13–9 | -0.06 | 26% | 3 Aug → | ||
| 8–13 | -0.04 | 21% | 3 Aug → | ||
| 7–13 | -0.02 | 29% | 2 Aug → | ||
| 11–13 | -0.05 | 13% | 1 Aug → | ||
| 13–6 | -0.03 | 18% | 1 Aug → | ||
| 7–13 | -0.03 | 39% | 1 Aug → | ||
| fachwerk | 12–12 | -0.08 | 23% | 1 Aug → | |
| 12–12 | 0.04 | 13% | 1 Aug → | ||
| 7–13 | -0.04 | 19% | 1 Aug → | ||
| 4–13 | 0.00 | 31% | 31 Jul → | ||
| 13–0 | 0.00 | 27% | 31 Jul → | ||
| 12–12 | -0.01 | 20% | 31 Jul → | ||
| 13–11 | 0.00 | 15% | 30 Jul → | ||
| 8–13 | -0.03 | 21% | 30 Jul → | ||
| 7–13 | 0.00 | 16% | 30 Jul → | ||
| boulder | 3–13 | 0.02 | 15% | 30 Jul → | |
| 13–4 | 0.08 | 9% | 30 Jul → | ||
| 13–9 | 0.01 | 8% | 29 Jul → | ||
| 13–10 | -0.02 | 25% | 29 Jul → | ||
| 11–13 | -0.04 | 11% | 29 Jul → | ||
| 13–5 | -0.02 | 16% | 29 Jul → | ||
| fachwerk | 13–4 | 0.00 | 17% | 29 Jul → | |
| 4–13 | -0.04 | 21% | 29 Jul → | ||
| 11–13 | -0.03 | 20% | 29 Jul → | ||
| 13–10 | 0.07 | 17% | 29 Jul → | ||
| 13–5 | -0.00 | 29% | 28 Jul → | ||
| 7–13 | -0.02 | 16% | 28 Jul → | ||
| 9–13 | 0.00 | 30% | 28 Jul → | ||
| 3–13 | -0.08 | 14% | 28 Jul → | ||
| 10–13 | -0.04 | 15% | 28 Jul → | ||
| 13–8 | 0.03 | 15% | 28 Jul → | ||
| 4–13 | -0.05 | 17% | 28 Jul → | ||
| 4–13 | -0.03 | 12% | 28 Jul → | ||
| boulder | 13–7 | -0.00 | 22% | 27 Jul → | |
| 0–8 | -0.03 | 30% | 27 Jul → | ||
| 13–5 | -0.02 | 22% | 27 Jul → | ||
| 12–12 | -0.03 | 13% | 27 Jul → | ||
| 4–13 | -0.03 | 22% | 27 Jul → | ||
| 13–9 | 0.01 | 15% | 27 Jul → | ||
| 13–4 | -0.02 | 24% | 27 Jul → | ||
| 13–11 | -0.05 | 16% | 27 Jul → | ||
| 13–4 | -0.02 | 3% | 27 Jul → | ||
| 13–11 | 0.02 | 24% | 27 Jul → | ||
| italy | 3–13 | -0.07 | 20% | 27 Jul → | |
| 13–7 | 0.05 | 29% | 27 Jul → | ||
| 13–10 | 0.08 | 17% | 25 Jul → | ||
| 12–12 | 0.03 | 22% | 25 Jul → | ||
| 13–9 | -0.01 | 22% | 25 Jul → | ||
| 13–5 | 0.03 | 15% | 25 Jul → | ||
| 8–13 | 0.00 | 19% | 25 Jul → | ||
| 13–4 | 0.03 | 20% | 25 Jul → | ||
| 13–5 | 0.06 | 13% | 25 Jul → | ||
| 8–13 | 0.01 | 17% | 24 Jul → | ||
| 9–13 | -0.04 | 6% | 24 Jul → | ||
| 12–12 | 0.02 | 23% | 24 Jul → | ||
| 8–13 | -0.01 | 17% | 24 Jul → | ||
| 12–12 | -0.00 | 29% | 24 Jul → | ||
| boulder | 13–6 | -0.01 | 11% | 23 Jul → | |
| 13–4 | -0.03 | 10% | 23 Jul → | ||
| 9–13 | 0.02 | 27% | 23 Jul → | ||
| 8–13 | -0.01 | 29% | 23 Jul → | ||
| 4–13 | -0.04 | 19% | 22 Jul → | ||
| 4–13 | -0.06 | 14% | 22 Jul → | ||
| 13–11 | -0.02 | 16% | 22 Jul → | ||
| 11–13 | -0.05 | 22% | 22 Jul → | ||
| 13–6 | 0.07 | 15% | 22 Jul → | ||
| 4–13 | 0.02 | 33% | 22 Jul → | ||
| 13–9 | -0.02 | 21% | 21 Jul → | ||
| 15–15 | 0.01 | 16% | 21 Jul → | ||
| 10–13 | 0.06 | 13% | 21 Jul → | ||
| boulder | 6–13 | -0.01 | 21% | 21 Jul → |
Match data via Leetify.