YourJellyKiid — CS2 Stats
US76561199543973571[U:1:1583707843]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 56.4% | 47.2% | 49.9% | above |
| Shot accuracy | 1.0% | 12.7% | 13.4% | 12.3% short |
| Kill/death ratio | 0.87 | 1.09 | 1.12 | 0.25 short |
| Match win rate | 43.7% | 46.6% | 48.4% | 4.7% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: higher opening-duel success; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 28 | 19–9 | 68% | 0.01 | |
| B | 21 | 11–10 | 52% | -0.00 | |
| S | 14 | 11–3 | 79% | 0.03 | |
| S | 11 | 9–2 | 82% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 25 | 52% | 0.70 | 11.0 |
| Ancient | 9 | 33% | 0.79 | 11.8 |
| Anubis | 7 | 57% | 0.81 | 12.7 |
| Cache | 2 | 50% | 0.60 | 6.5 |
| Dust2 | 1 | 0% | 0.59 | 10.0 |
| Inferno | 1 | 0% | 0.20 | 4.0 |
| Vertigo | 1 | 100% | 0.92 | 11.0 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.12 | 22% | 29 Aug → | ||
| 3–13 | -0.04 | 24% | 29 Aug → | ||
| 13–3 | 0.07 | 44% | 28 Aug → | ||
| 3–13 | -0.02 | 38% | 28 Aug → | ||
| 7–13 | -0.05 | 30% | 28 Aug → | ||
| 13–7 | 0.13 | 28% | 28 Aug → | ||
| 14–16 | 0.03 | 35% | 28 Aug → | ||
| 9–7 | 0.00 | 19% | 27 Aug → | ||
| 8–8 | 0.10 | 34% | 27 Aug → | ||
| 13–10 | 0.10 | 30% | 27 Aug → | ||
| 13–5 | 0.06 | 42% | 27 Aug → | ||
| 7–13 | 0.03 | 36% | 27 Aug → | ||
| 8–13 | -0.02 | 35% | 27 Aug → | ||
| 13–8 | 0.05 | 26% | 27 Aug → | ||
| 8–13 | 0.02 | 53% | 27 Aug → | ||
| 13–11 | 0.03 | 24% | 27 Aug → | ||
| 13–3 | 0.10 | 35% | 27 Aug → | ||
| 13–8 | 0.04 | 18% | 27 Aug → | ||
| 16–13 | 0.05 | 34% | 27 Aug → | ||
| 13–9 | 0.03 | 36% | 27 Aug → | ||
| 4–9 | -0.04 | 33% | 27 Aug → | ||
| 9–4 | -0.01 | 35% | 26 Aug → | ||
| 8–8 | 0.10 | 39% | 26 Aug → | ||
| 9–5 | 0.14 | 26% | 26 Aug → | ||
| 9–4 | 0.07 | 43% | 26 Aug → | ||
| 8–8 | -0.03 | 32% | 26 Aug → | ||
| 9–3 | 0.13 | 26% | 26 Aug → | ||
| 9–6 | 0.08 | 39% | 26 Aug → | ||
| 9–5 | -0.01 | 17% | 26 Aug → | ||
| 9–4 | 0.09 | 37% | 26 Aug → | ||
| 7–9 | 0.04 | 21% | 26 Aug → | ||
| 3–9 | -0.23 | 13% | 26 Aug → | ||
| 7–9 | 0.12 | 20% | 26 Aug → | ||
| 9–4 | 0.11 | 45% | 26 Aug → | ||
| 9–4 | -0.00 | 24% | 26 Aug → | ||
| 13–8 | -0.05 | 19% | 26 Aug → | ||
| 13–9 | -0.03 | 26% | 26 Aug → | ||
| 13–11 | 0.02 | 29% | 26 Aug → | ||
| 13–9 | -0.00 | 24% | 26 Aug → | ||
| 13–3 | 0.12 | 25% | 26 Aug → | ||
| 13–4 | 0.03 | 15% | 26 Aug → | ||
| 16–12 | 0.01 | 32% | 26 Aug → | ||
| 16–14 | 0.04 | 32% | 25 Aug → | ||
| 13–4 | 0.03 | 20% | 25 Aug → | ||
| 13–9 | 0.00 | 25% | 25 Aug → | ||
| 13–6 | -0.04 | 30% | 25 Aug → | ||
| 7–13 | -0.08 | 9% | 25 Aug → | ||
| 11–13 | -0.03 | 26% | 25 Aug → | ||
| 13–10 | 0.01 | 43% | 25 Aug → | ||
| 13–7 | 0.04 | 35% | 25 Aug → | ||
| 5–13 | -0.02 | 38% | 25 Aug → | ||
| 4–13 | 0.01 | 30% | 25 Aug → | ||
| 13–5 | 0.03 | 22% | 25 Aug → | ||
| 13–11 | 0.05 | 28% | 25 Aug → | ||
| 6–13 | -0.03 | 22% | 24 Aug → | ||
| 13–16 | -0.00 | 21% | 24 Aug → | ||
| 13–6 | 0.04 | 59% | 24 Aug → | ||
| 5–13 | 0.01 | 34% | 24 Aug → | ||
| 13–4 | 0.01 | 36% | 24 Aug → | ||
| 13–4 | 0.04 | 50% | 24 Aug → | ||
| 13–6 | -0.02 | 30% | 24 Aug → | ||
| 10–13 | 0.02 | 25% | 24 Aug → | ||
| 7–13 | -0.03 | 13% | 24 Aug → | ||
| 13–9 | -0.02 | 16% | 24 Aug → | ||
| 13–8 | -0.03 | 25% | 24 Aug → | ||
| 13–9 | -0.04 | 46% | 23 Aug → | ||
| 11–13 | -0.03 | 23% | 23 Aug → | ||
| 5–13 | 0.01 | 22% | 22 Aug → | ||
| 7–13 | 0.04 | 42% | 22 Aug → | ||
| 13–6 | -0.04 | 38% | 22 Aug → | ||
| 9–13 | -0.06 | 41% | 21 Aug → | ||
| 13–7 | -0.01 | 30% | 21 Aug → | ||
| 13–4 | 0.04 | 21% | 21 Aug → | ||
| 13–8 | -0.01 | 30% | 21 Aug → | ||
| 7–13 | -0.01 | 9% | 21 Aug → | ||
| 13–7 | -0.05 | 36% | 21 Aug → | ||
| 13–3 | -0.02 | 30% | 21 Aug → | ||
| 13–6 | -0.02 | 21% | 21 Aug → | ||
| 4–13 | -0.04 | 24% | 21 Aug → | ||
| 13–10 | 0.09 | 28% | 21 Aug → | ||
| 10–13 | -0.03 | 20% | 21 Aug → | ||
| 13–9 | 0.03 | 41% | 21 Aug → | ||
| 13–7 | -0.07 | 50% | 21 Aug → | ||
| 13–6 | 0.00 | 22% | 20 Aug → | ||
| 13–10 | 0.00 | 24% | 20 Aug → | ||
| 13–3 | 0.02 | 15% | 20 Aug → | ||
| 9–4 | 0.00 | 88% | 20 Aug → | ||
| 9–5 | -0.06 | 15% | 20 Aug → | ||
| 9–6 | -0.12 | 11% | 20 Aug → | ||
| 4–9 | -0.06 | 21% | 20 Aug → | ||
| 9–4 | -0.03 | 42% | 20 Aug → | ||
| 12–16 | 0.05 | 24% | 20 Aug → | ||
| 13–3 | 0.08 | 31% | 20 Aug → | ||
| 13–16 | 0.04 | 27% | 20 Aug → | ||
| 10–13 | 0.01 | 32% | 19 Aug → | ||
| 3–13 | 0.01 | 38% | 19 Aug → | ||
| 13–11 | 0.08 | 25% | 19 Aug → | ||
| 13–10 | -0.01 | 36% | 19 Aug → | ||
| 4–13 | -0.03 | 42% | 19 Aug → | ||
| 3–13 | 0.02 | 21% | 19 Aug → |
Match data via Leetify.