Jelly — CS2 Stats
76561198391240294[U:1:430974566]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 53.2% | 52.8% |
| Shot accuracy | 17.3% | 13.7% |
| Kill/death ratio | 1.17 | 1.08 |
| Match win rate | 59.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 Twistzz 93% playstyle similarity
Most alike: utility contribution, positioning 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.94 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 62% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
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 7.1/10 (Strong), 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 | 25 | 14–11 | 56% | 0.01 | |
| S | 21 | 14–7 | 67% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 4 | 4–0 | 100% | 0.00 | |
| office | — | 1 | 1–0 | 100% | 0.06 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (54% over 13). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 79 | 47% | 1.13 | 16.4 |
| Dust2 | 77 | 58% | 1.18 | 16.3 |
| Ancient | 50 | 52% | 1.23 | 17.0 |
| Nuke | 46 | 48% | 1.17 | 16.2 |
| Inferno | 42 | 52% | 1.06 | 15.2 |
| Anubis | 21 | 48% | 1.08 | 16.6 |
| Overpass | 10 | 40% | 0.94 | 13.9 |
| Train | 8 | 50% | 1.50 | 22.0 |
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
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 26.8248% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.05 | 30% | 26 Aug → | ||
| 24–28 | -0.04 | 17% | 20 Aug → | ||
| 13–11 | 0.02 | 19% | 19 Aug → | ||
| 13–11 | 0.09 | 29% | 18 Aug → | ||
| 13–8 | -0.05 | 15% | 17 Aug → | ||
| 13–5 | 0.04 | 30% | 16 Aug → | ||
| 8–1 | 0.01 | 6% | 16 Aug → | ||
| 11–13 | -0.02 | 26% | 16 Aug → | ||
| 13–9 | 0.08 | 18% | 12 Aug → | ||
| office | 13–10 | 0.06 | 31% | 9 Aug → | |
| 13–7 | -0.02 | 21% | 9 Aug → | ||
| 6–2 | -0.06 | 0% | 9 Aug → | ||
| 4–13 | 0.05 | 24% | 9 Aug → | ||
| 13–5 | 0.03 | 24% | 9 Aug → | ||
| 12–12 | 0.05 | 17% | 9 Aug → | ||
| 13–11 | -0.01 | 14% | 9 Aug → | ||
| 9–1 | 0.10 | 25% | 9 Aug → | ||
| 11–13 | -0.04 | 12% | 9 Aug → | ||
| 10–13 | 0.03 | 22% | 8 Aug → | ||
| 13–6 | 0.02 | 19% | 7 Aug → | ||
| 10–13 | -0.01 | 18% | 31 Jul → | ||
| 9–13 | -0.04 | 21% | 29 Jul → | ||
| 13–6 | 0.04 | 20% | 24 Jul → | ||
| 11–13 | 0.06 | 32% | 17 Jul → | ||
| 9–13 | -0.05 | 50% | 15 Jul → | ||
| 13–4 | 0.06 | 22% | 15 Jul → | ||
| 13–11 | 0.02 | 15% | 15 Jul → | ||
| 8–13 | 0.08 | 16% | 11 Jul → | ||
| 4–13 | 0.00 | 20% | 11 Jul → | ||
| 13–6 | 0.04 | 13% | 11 Jul → | ||
| 7–13 | -0.04 | 6% | 11 Jul → | ||
| 10–13 | 0.04 | 24% | 11 Jul → | ||
| 11–13 | -0.08 | 24% | 10 Jul → | ||
| 13–4 | 0.00 | 14% | 10 Jul → | ||
| 13–8 | 0.08 | 8% | 10 Jul → | ||
| 13–11 | 0.01 | 27% | 10 Jul → | ||
| 13–10 | -0.02 | 21% | 9 Jul → | ||
| 4–13 | 0.05 | 32% | 9 Jul → | ||
| 13–8 | 0.02 | 26% | 9 Jul → | ||
| 13–6 | 0.02 | 26% | 9 Jul → | ||
| 13–7 | 0.04 | 28% | 26 Jun → | ||
| 13–6 | 0.00 | 19% | 26 Jun → | ||
| 13–4 | 0.03 | 54% | 26 Jun → | ||
| 13–6 | -0.03 | 12% | 3 Jun → | ||
| 13–7 | 0.00 | 33% | 3 Jun → | ||
| 13–5 | 0.04 | 14% | 3 Jun → | ||
| 12–12 | 0.04 | 35% | 3 Jun → | ||
| 13–2 | 0.03 | 21% | 3 Jun → | ||
| 13–8 | 0.02 | 34% | 3 Jun → | ||
| 13–11 | 0.00 | 22% | 22 May → | ||
| 13–4 | 0.10 | 24% | 22 May → | ||
| 13–6 | 0.05 | 19% | 20 May → | ||
| 9–13 | 0.05 | 33% | 15 May → | ||
| 13–6 | 0.02 | 4% | 14 May → | ||
| 9–13 | -0.04 | 27% | 14 May → | ||
| 13–8 | 0.05 | 11% | 11 May → | ||
| 8–13 | 0.04 | 17% | 11 May → | ||
| 11–13 | -0.02 | 12% | 6 May → | ||
| 16–14 | 0.00 | 14% | 29 Apr → | ||
| 13–6 | -0.00 | 26% | 24 Apr → | ||
| 7–13 | -0.05 | 27% | 22 Apr → | ||
| 13–4 | -0.03 | 20% | 22 Apr → | ||
| 13–9 | -0.02 | 17% | 22 Apr → | ||
| 13–7 | 0.09 | 19% | 22 Apr → | ||
| 12–12 | -0.02 | 20% | 19 Apr → | ||
| 13–9 | 0.01 | 20% | 19 Apr → | ||
| 13–11 | -0.01 | 23% | 19 Apr → | ||
| 12–12 | -0.02 | 12% | 19 Apr → | ||
| 13–11 | -0.03 | 23% | 19 Apr → | ||
| 13–4 | -0.01 | 29% | 19 Apr → | ||
| 13–9 | 0.04 | 23% | 17 Apr → | ||
| 5–13 | -0.01 | 17% | 17 Apr → | ||
| 11–13 | -0.09 | 13% | 16 Apr → | ||
| 13–11 | 0.03 | 14% | 15 Apr → | ||
| 13–9 | 0.08 | 16% | 12 Apr → | ||
| 13–2 | 0.14 | 29% | 12 Apr → | ||
| 8–13 | 0.04 | 17% | 12 Apr → | ||
| 13–10 | 0.02 | 27% | 12 Apr → | ||
| 7–13 | -0.04 | 4% | 10 Apr → | ||
| 13–9 | 0.05 | 23% | 9 Apr → | ||
| 4–9 | -0.05 | 13% | 8 Apr → | ||
| 9–4 | 0.12 | 27% | 8 Apr → | ||
| 2–13 | -0.04 | 9% | 8 Apr → | ||
| 13–2 | 0.10 | 26% | 8 Apr → | ||
| 13–10 | 0.03 | 15% | 8 Apr → | ||
| 8–13 | -0.01 | 14% | 3 Apr → | ||
| 4–13 | 0.00 | 11% | 3 Apr → | ||
| 5–13 | 0.06 | 18% | 3 Apr → | ||
| 6–13 | 0.01 | 23% | 2 Apr → | ||
| 14–16 | -0.06 | 9% | 29 Mar → | ||
| 10–13 | -0.04 | 17% | 29 Mar → | ||
| 9–13 | 0.03 | 18% | 29 Mar → | ||
| 13–6 | -0.04 | 25% | 28 Mar → | ||
| 13–8 | 0.10 | 29% | 28 Mar → | ||
| 13–5 | 0.04 | 20% | 28 Mar → | ||
| 13–2 | 0.04 | 14% | 28 Mar → | ||
| 13–5 | 0.05 | 26% | 26 Mar → | ||
| 16–12 | 0.05 | 20% | 26 Mar → | ||
| 13–10 | 0.04 | 14% | 25 Mar → | ||
| 5–13 | -0.05 | 11% | 22 Mar → |
Match data via Leetify.