jESSE — CS2 Stats
76561199480179087[U:1:1519913359]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 57.7% | 46.1% | 47.0% | above |
| Shot accuracy | 3.7% | 12.6% | 12.7% | 9.0% short |
| Kill/death ratio | 1.09 | 1.05 | 1.07 | meets |
| Match win rate | 45.9% | 45.7% | 46.4% | meets |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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 · -0.09 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 92 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 58% on CT to 40% 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 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 52 | 21–31 | 40% | 0.07 | |
| B | 21 | 10–11 | 48% | 0.11 | |
| A | 14 | 8–6 | 57% | 0.05 | |
| S | 8 | 6–2 | 75% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| poseidon | — | 1 | 0–1 | 0% | -0.11 |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 52). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 56% | 1.10 | 17.7 |
| Dust2 | 23 | 74% | 1.54 | 18.6 |
| Inferno | 10 | 60% | 1.15 | 16.4 |
| Ancient | 10 | 50% | 1.01 | 17.3 |
| Anubis | 6 | 33% | 1.16 | 16.8 |
| Nuke | 3 | 67% | 1.06 | 18.7 |
| Train | 1 | 0% | 0.63 | 12.0 |
| Overpass | 1 | 0% | 1.00 | 15.0 |
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.
40% win rate across 52 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–8 | -0.05 | 0% | 30 Jul → | ||
| 9–4 | 0.14 | 29% | 27 Jul → | ||
| poseidon | 8–8 | -0.11 | 39% | 26 Jul → | |
| 3–9 | -0.11 | 38% | 14 Jun → | ||
| 9–4 | 0.14 | 29% | 12 Jun → | ||
| 8–8 | 0.17 | 40% | 12 Jun → | ||
| 9–4 | 0.26 | 19% | 12 Jun → | ||
| 7–9 | 0.06 | 23% | 11 Jun → | ||
| 7–9 | -0.04 | 30% | 10 Jun → | ||
| 7–9 | -0.11 | 15% | 10 Jun → | ||
| 9–3 | 0.18 | 35% | 10 Jun → | ||
| 9–1 | 0.32 | 29% | 10 Jun → | ||
| 9–3 | 0.13 | 25% | 10 Jun → | ||
| 8–8 | 0.16 | 31% | 9 Jun → | ||
| 9–7 | 0.05 | 23% | 8 Jun → | ||
| 5–9 | -0.05 | 29% | 8 Jun → | ||
| 9–0 | 0.12 | 21% | 8 Jun → | ||
| 7–9 | 0.02 | 31% | 8 Jun → | ||
| 7–9 | 0.09 | 45% | 7 Jun → | ||
| 9–4 | 0.24 | 39% | 7 Jun → | ||
| 9–5 | 0.25 | 56% | 7 Jun → | ||
| 6–9 | -0.05 | 27% | 7 Jun → | ||
| 1–13 | -0.05 | 25% | 6 Jun → | ||
| 12–12 | 0.04 | 25% | 6 Jun → | ||
| 5–9 | -0.01 | 15% | 6 Jun → | ||
| 5–9 | 0.10 | 40% | 6 Jun → | ||
| 8–8 | 0.07 | 21% | 6 Jun → | ||
| 9–5 | 0.05 | 39% | 6 Jun → | ||
| 8–8 | 0.15 | 21% | 6 Jun → | ||
| 9–6 | 0.12 | 24% | 6 Jun → | ||
| 8–8 | 0.00 | 28% | 6 Jun → | ||
| 7–9 | 0.21 | 35% | 5 Jun → | ||
| 9–4 | 0.29 | 31% | 4 Jun → | ||
| 8–8 | 0.04 | 27% | 4 Jun → | ||
| 9–5 | 0.19 | 28% | 4 Jun → | ||
| 13–11 | -0.01 | 17% | 4 Jun → | ||
| 9–3 | 0.20 | 33% | 4 Jun → | ||
| 9–6 | 0.19 | 37% | 4 Jun → | ||
| 9–5 | 0.15 | 22% | 4 Jun → | ||
| 9–6 | 0.04 | 12% | 3 Jun → | ||
| 9–2 | 0.28 | 33% | 3 Jun → | ||
| 3–9 | -0.14 | 29% | 3 Jun → | ||
| 9–7 | 0.11 | 15% | 3 Jun → | ||
| 7–9 | 0.04 | 30% | 3 Jun → | ||
| 13–5 | 0.02 | 29% | 3 Jun → | ||
| 4–9 | -0.09 | 45% | 3 Jun → | ||
| 9–1 | 0.51 | 50% | 3 Jun → | ||
| 5–9 | -0.03 | 28% | 3 Jun → | ||
| 4–9 | 0.06 | 35% | 3 Jun → | ||
| 13–11 | 0.12 | 28% | 2 Jun → | ||
| 13–8 | 0.01 | 38% | 2 Jun → | ||
| 5–9 | 0.02 | 41% | 31 May → | ||
| 2–9 | -0.17 | 50% | 31 May → | ||
| 9–5 | 0.30 | 26% | 31 May → | ||
| 13–5 | -0.00 | 47% | 31 May → | ||
| 8–12 | 0.08 | 48% | 30 May → | ||
| 1–13 | -0.03 | 27% | 30 May → | ||
| 8–8 | 0.15 | 17% | 30 May → | ||
| 8–8 | -0.03 | 35% | 30 May → | ||
| 13–11 | 0.05 | 31% | 30 May → | ||
| 8–13 | 0.01 | 24% | 30 May → | ||
| 13–3 | -0.03 | 17% | 29 May → | ||
| 13–10 | 0.07 | 33% | 29 May → | ||
| 13–8 | 0.05 | 35% | 29 May → | ||
| 13–3 | 0.12 | 31% | 29 May → | ||
| 8–8 | 0.01 | 21% | 29 May → | ||
| 9–6 | 0.12 | 35% | 29 May → | ||
| 2–9 | 0.01 | 14% | 29 May → | ||
| 13–9 | 0.06 | 34% | 28 May → | ||
| 9–13 | 0.17 | 26% | 28 May → | ||
| 11–13 | 0.08 | 35% | 28 May → | ||
| 10–13 | 0.07 | 35% | 28 May → | ||
| 6–9 | 0.06 | 15% | 28 May → | ||
| 13–10 | -0.04 | 25% | 27 May → | ||
| 13–10 | 0.11 | 38% | 27 May → | ||
| 9–5 | 0.02 | 36% | 27 May → | ||
| 13–6 | 0.20 | 27% | 27 May → | ||
| 13–6 | 0.06 | 36% | 27 May → | ||
| 3–9 | 0.10 | 16% | 27 May → | ||
| 1–9 | -0.12 | 38% | 27 May → | ||
| 11–13 | 0.08 | 31% | 26 May → | ||
| 2–9 | -0.16 | 17% | 26 May → | ||
| 1–10 | -0.00 | 41% | 26 May → | ||
| 4–9 | 0.01 | 50% | 26 May → | ||
| 9–6 | 0.22 | 34% | 26 May → | ||
| 5–9 | 0.01 | 38% | 26 May → | ||
| 6–9 | 0.01 | 33% | 26 May → | ||
| 4–9 | 0.05 | 39% | 26 May → | ||
| 13–4 | 0.01 | 26% | 26 May → | ||
| 13–3 | 0.09 | 29% | 25 May → | ||
| 8–8 | 0.19 | 21% | 25 May → | ||
| 8–8 | 0.04 | 23% | 25 May → | ||
| 9–6 | 0.08 | 24% | 25 May → | ||
| 8–8 | 0.10 | 28% | 25 May → | ||
| 10–13 | 0.08 | 31% | 25 May → | ||
| 9–2 | -0.03 | 14% | 25 May → | ||
| 13–9 | -0.03 | 15% | 25 May → | ||
| 8–8 | 0.13 | 33% | 25 May → | ||
| 13–5 | -0.02 | 29% | 24 May → | ||
| 11–13 | 0.02 | 18% | 24 May → |
Match data via Leetify.