elreese — CS2 Stats
76561198152955820[U:1:192690092]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 41.9% | 42.5% | 44.2% | 2.3% short |
| Shot accuracy | 8.9% | 10.9% | 11.2% | 2.3% short |
| Kill/death ratio | 0.92 | 0.99 | 1.04 | 0.11 short |
| Match win rate | 43.1% | 44.2% | 45.3% | 2.2% short |
This profile sits below the typical Level 5 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: -20pp win rate · -0.00 avg rating
Player DNA
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 NiKo 74% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; 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.
Reaction time. 745ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 15 | 7–8 | 47% | -0.01 |
 mirage | C | 14 | 5–9 | 36% | -0.02 |
 anubis | B | 13 | 6–7 | 46% | -0.02 |
 ancient | D | 9 | 1–8 | 11% | -0.03 |
 vertigo | S | 6 | 4–2 | 67% | 0.00 |
 cache | S | 6 | 4–2 | 67% | -0.01 |
 train | D | 6 | 2–4 | 33% | -0.02 |
 nuke | A | 5 | 3–2 | 60% | -0.01 |
 inferno | S | 5 | 5–0 | 100% | -0.02 |
 overpass | — | 4 | 3–1 | 75% | 0.01 |
| grail | — | 4 | 1–3 | 25% | -0.02 |
| office | — | 3 | 2–1 | 67% | 0.02 |
| jura | — | 3 | 3–0 | 100% | -0.02 |
| agency | — | 2 | 1–1 | 50% | 0.06 |
| fachwerk | — | 1 | 0–1 | 0% | -0.09 |
| shelter | — | 1 | 0–1 | 0% | -0.02 |
| boulder | — | 1 | 0–1 | 0% | -0.02 |
| warden | — | 1 | 1–0 | 100% | 0.03 |
| alpine | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (11% 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.76 | 9.5 |
| Dust2 | 2 | 50% | 0.89 | 14.0 |
| Ancient | 1 | 0% | 0.84 | 16.0 |
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.
- 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 14.4003% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 745.0541ms — above the 700ms 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 0.2504 — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 12–12 | -0.03 | 16% | 9 Jul → | |
| fachwerk | 3–13 | -0.09 | 21% | 9 Jul → | |
| shelter | 10–13 | -0.02 | 6% | 9 Jul → | |
| boulder | 6–13 | -0.02 | 7% | 9 Jul → | |
| dust2 | 12–12 | -0.10 | 12% | 20 Jun → | |
| dust2 | 13–4 | 0.03 | 10% | 20 Jun → | |
| vertigo | 9–13 | -0.02 | 12% | 8 Jun → | |
| vertigo | 13–8 | -0.02 | 18% | 8 Jun → | |
| office | 13–2 | 0.06 | 11% | 24 May → | |
| dust2 | 13–9 | -0.05 | 17% | 24 May → | |
| ancient | 7–13 | -0.03 | 16% | 24 May → | |
| cache | 13–6 | -0.02 | 23% | 24 May → | |
| anubis | 13–10 | -0.02 | 14% | 21 May → | |
| mirage | 9–13 | -0.07 | 11% | 20 May → | |
| cache | 9–13 | -0.06 | 10% | 11 May → | |
| cache | 13–10 | -0.01 | 13% | 3 May → | |
| cache | 13–3 | 0.03 | 19% | 30 Apr → | |
| cache | 13–5 | 0.03 | 18% | 30 Apr → | |
| cache | 12–12 | -0.06 | 22% | 30 Apr → | |
| anubis | 13–8 | -0.02 | 8% | 24 Apr → | |
| nuke | 13–2 | -0.05 | 16% | 22 Apr → | |
| dust2 | 10–13 | -0.00 | 17% | 21 Apr → | |
| overpass | 13–3 | -0.04 | 0% | 18 Apr → | |
| inferno | 13–10 | -0.02 | 17% | 18 Apr → | |
| ancient | 7–13 | -0.04 | 23% | 18 Apr → | |
| mirage | 6–13 | -0.07 | 11% | 10 Apr → | |
| vertigo | 13–7 | -0.04 | 12% | 10 Apr → | |
| dust2 | 13–7 | 0.03 | 15% | 8 Apr → | |
| nuke | 13–0 | 0.02 | 20% | 19 Mar → | |
| mirage | 6–6 | -0.01 | 21% | 19 Mar → | |
| dust2 | 13–1 | 0.05 | 28% | 19 Mar → | |
| office | 8–13 | -0.04 | 21% | 19 Mar → | |
| inferno | 13–6 | 0.01 | 30% | 14 Mar → | |
| nuke | 9–13 | -0.06 | 7% | 14 Mar → | |
| overpass | 13–8 | -0.01 | 18% | 11 Mar → | |
| anubis | 6–13 | -0.04 | 9% | 10 Mar → | |
| dust2 | 7–13 | -0.01 | 22% | 10 Mar → | |
| inferno | 8–2 | -0.01 | 38% | 10 Mar → | |
| ancient | 7–13 | -0.04 | 18% | 10 Mar → | |
| dust2 | 12–12 | -0.07 | 14% | 22 Feb → | |
| ancient | 12–12 | 0.02 | 17% | 22 Feb → | |
| vertigo | 13–2 | 0.06 | 9% | 15 Feb → | |
| warden | 13–4 | 0.03 | 24% | 24 Jan → | |
| alpine | 13–6 | 0.01 | 11% | 24 Jan → | |
| office | 13–9 | 0.03 | 16% | 24 Jan → | |
| overpass | 13–10 | 0.04 | 12% | 18 Jan → | |
| overpass | 7–13 | 0.06 | 6% | 18 Jan → | |
| nuke | 5–13 | 0.00 | 25% | 2 Jan → | |
| ancient | 8–13 | -0.08 | 4% | 2 Jan → | |
| dust2 | 8–13 | 0.01 | 31% | 1 Jan → | |
| mirage | 7–13 | -0.04 | 24% | 31 Dec → | |
| mirage | 11–13 | -0.02 | 2% | 25 Dec → | |
| nuke | 13–4 | 0.03 | 18% | 25 Dec → | |
| train | 4–13 | 0.00 | 12% | 25 Dec → | |
| anubis | 13–5 | 0.01 | 15% | 16 Dec → | |
| anubis | 12–12 | -0.01 | 13% | 16 Dec → | |
| anubis | 5–13 | -0.06 | 18% | 16 Dec → | |
| dust2 | 13–5 | -0.02 | 19% | 8 Dec → | |
| train | 13–7 | 0.00 | 17% | 7 Dec → | |
| ancient | 7–13 | 0.01 | 14% | 7 Dec → | |
| dust2 | 13–11 | 0.04 | 18% | 7 Dec → | |
| mirage | 13–4 | 0.01 | 16% | 23 Nov → | |
| mirage | 13–10 | -0.01 | 15% | 18 Nov → | |
| mirage | 0–11 | -0.08 | 12% | 18 Nov → | |
| dust2 | 13–5 | 0.01 | 16% | 18 Nov → | |
| anubis | 5–13 | -0.07 | 15% | 18 Nov → | |
| ancient | 4–13 | -0.08 | 20% | 18 Nov → | |
| mirage | 13–11 | 0.03 | 23% | 2 Nov → | |
| dust2 | 3–13 | -0.04 | 24% | 2 Nov → | |
| train | 9–13 | -0.04 | 15% | 1 Nov → | |
| mirage | 10–13 | -0.00 | 15% | 30 Aug → | |
| grail | 12–12 | -0.06 | 11% | 30 Aug → | |
| grail | 10–13 | -0.07 | 8% | 30 Aug → | |
| anubis | 13–11 | 0.03 | 14% | 26 Aug → | |
| anubis | 9–13 | 0.03 | 16% | 25 Aug → | |
| anubis | 3–13 | -0.04 | 17% | 25 Aug → | |
| inferno | 13–9 | 0.02 | 21% | 16 Aug → | |
| vertigo | 6–13 | -0.02 | 22% | 16 Aug → | |
| ancient | 13–4 | 0.03 | 11% | 16 Aug → | |
| ancient | 11–13 | -0.03 | 8% | 12 Aug → | |
| agency | 5–13 | 0.09 | 18% | 11 Aug → | |
| agency | 13–9 | 0.02 | 23% | 11 Aug → | |
| jura | 13–8 | -0.02 | 16% | 31 Jul → | |
| jura | 13–7 | 0.02 | 5% | 31 Jul → | |
| jura | 13–9 | -0.06 | 16% | 31 Jul → | |
| mirage | 11–13 | 0.06 | 19% | 27 Jul → | |
| mirage | 13–6 | -0.03 | 0% | 20 Jul → | |
| vertigo | 13–2 | 0.06 | 10% | 20 Jul → | |
| dust2 | 9–13 | -0.02 | 23% | 20 Jul → | |
| train | 13–9 | -0.05 | 10% | 20 Jul → | |
| train | 8–13 | -0.02 | 12% | 20 Jul → | |
| train | 3–13 | -0.02 | 10% | 20 Jul → | |
| inferno | 13–9 | -0.10 | 21% | 11 Jul → | |
| grail | 13–6 | 0.04 | 13% | 5 Jul → | |
| mirage | 9–13 | -0.06 | 38% | 2 Jul → | |
| grail | 12–12 | -0.01 | 7% | 2 Jul → | |
| dust2 | 12–12 | -0.03 | 19% | 29 Jun → | |
| anubis | 5–13 | -0.01 | 8% | 29 Jun → | |
| anubis | 13–11 | -0.05 | 11% | 29 Jun → | |
| anubis | 13–6 | -0.03 | 8% | 14 Jun → |
Match data via Leetify.
