✪Gesca #Ilivenextdoor — CS2 Stats
76561198249452550[U:1:289186822]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 43.2% | 41.4% | 44.2% | 1.1% short |
| Shot accuracy | 14.4% | 9.0% | 11.6% | above |
| Kill/death ratio | 0.95 | 0.97 | 1.03 | 0.08 short |
| Match win rate | 40.2% | 43.7% | 45.2% | 5.0% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.04 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 ropz 92% 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
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. 594ms 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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 mirage | S | 17 | 11–6 | 65% | 0.03 |
 cache | D | 15 | 4–11 | 27% | 0.03 |
 dust2 | A | 15 | 9–6 | 60% | 0.03 |
 inferno | D | 12 | 4–8 | 33% | 0.05 |
 ancient | C | 10 | 4–6 | 40% | 0.05 |
 nuke | C | 8 | 3–5 | 38% | 0.03 |
 vertigo | C | 5 | 2–3 | 40% | 0.01 |
 train | C | 5 | 2–3 | 40% | 0.07 |
 overpass | — | 4 | 3–1 | 75% | 0.03 |
| office | — | 3 | 0–3 | 0% | 0.00 |
 anubis | — | 2 | 1–1 | 50% | 0.02 |
| italy | — | 2 | 1–1 | 50% | -0.01 |
| jura | — | 1 | 1–0 | 100% | -0.01 |
| grail | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
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 resultsLLLWL
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 39.1154% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 4–13 | -0.02 | 17% | 14 Aug → | |
| mirage | 16–12 | 0.04 | 19% | 14 Aug → | |
| ancient | 13–3 | 0.06 | 20% | 27 Jul → | |
| nuke | 9–13 | -0.03 | 19% | 27 Jul → | |
| cache | 10–13 | -0.01 | 30% | 27 Jul → | |
| dust2 | 13–6 | -0.01 | 31% | 27 Jul → | |
| dust2 | 13–6 | 0.04 | 34% | 23 Jul → | |
| ancient | 13–4 | 0.07 | 12% | 23 Jul → | |
| inferno | 11–13 | 0.05 | 21% | 23 Jul → | |
| mirage | 13–10 | 0.07 | 16% | 21 Jul → | |
| anubis | 13–11 | -0.00 | 16% | 12 Jun → | |
| cache | 11–13 | 0.02 | 20% | 12 Jun → | |
| inferno | 13–11 | 0.07 | 14% | 7 Jun → | |
| mirage | 16–14 | 0.08 | 20% | 6 Jun → | |
| nuke | 5–13 | 0.10 | 20% | 18 May → | |
| mirage | 13–7 | 0.10 | 21% | 18 May → | |
| cache | 7–13 | 0.14 | 28% | 15 May → | |
| cache | 13–5 | 0.06 | 32% | 15 May → | |
| cache | 10–13 | 0.06 | 22% | 13 May → | |
| dust2 | 12–12 | 0.05 | 28% | 13 May → | |
| office | 9–13 | 0.01 | 37% | 13 May → | |
| cache | 5–13 | 0.12 | 31% | 13 May → | |
| cache | 3–13 | -0.02 | 33% | 13 May → | |
| vertigo | 7–13 | -0.02 | 19% | 13 May → | |
| mirage | 7–13 | 0.04 | 21% | 11 May → | |
| mirage | 13–7 | 0.08 | 7% | 11 May → | |
| cache | 11–13 | -0.02 | 32% | 11 May → | |
| inferno | 13–9 | -0.01 | 31% | 10 May → | |
| cache | 13–11 | -0.02 | 24% | 10 May → | |
| vertigo | 5–13 | 0.02 | 16% | 9 May → | |
| cache | 13–9 | -0.02 | 43% | 4 May → | |
| cache | 12–12 | 0.06 | 29% | 4 May → | |
| cache | 7–13 | 0.07 | 30% | 4 May → | |
| cache | 5–13 | 0.01 | 25% | 1 May → | |
| cache | 13–0 | 0.08 | 30% | 1 May → | |
| vertigo | 13–11 | 0.03 | 22% | 1 May → | |
| dust2 | 14–16 | 0.01 | 32% | 28 Apr → | |
| dust2 | 1–13 | 0.00 | 13% | 24 Apr → | |
| inferno | 8–13 | 0.14 | 19% | 24 Apr → | |
| nuke | 13–3 | 0.06 | 28% | 24 Apr → | |
| mirage | 13–11 | 0.10 | 20% | 24 Apr → | |
| dust2 | 13–8 | -0.04 | 14% | 22 Apr → | |
| dust2 | 13–7 | 0.11 | 20% | 22 Apr → | |
| dust2 | 10–13 | 0.05 | 19% | 18 Apr → | |
| inferno | 6–13 | 0.13 | 22% | 18 Apr → | |
| mirage | 13–9 | 0.05 | 18% | 17 Apr → | |
| inferno | 12–16 | 0.06 | 20% | 17 Apr → | |
| overpass | 13–9 | 0.06 | 25% | 17 Apr → | |
| dust2 | 13–10 | 0.02 | 14% | 17 Apr → | |
| nuke | 9–13 | -0.02 | 15% | 17 Apr → | |
| mirage | 9–13 | 0.01 | 36% | 17 Apr → | |
| mirage | 7–13 | -0.00 | 21% | 17 Apr → | |
| ancient | 13–6 | 0.01 | 21% | 14 Apr → | |
| anubis | 9–13 | 0.04 | 30% | 28 Feb → | |
| nuke | 13–5 | 0.06 | 20% | 24 Feb → | |
| mirage | 13–7 | 0.04 | 26% | 14 Feb → | |
| ancient | 5–13 | 0.02 | 23% | 8 Feb → | |
| train | 12–12 | 0.09 | 18% | 8 Feb → | |
| vertigo | 13–8 | -0.03 | 18% | 5 Feb → | |
| ancient | 5–13 | 0.13 | 17% | 4 Feb → | |
| nuke | 12–12 | -0.02 | 16% | 27 Jan → | |
| mirage | 13–11 | -0.03 | 12% | 12 Jan → | |
| nuke | 12–12 | 0.06 | 31% | 3 Jan → | |
| ancient | 12–12 | 0.11 | 23% | 29 Nov → | |
| vertigo | 11–13 | 0.06 | 27% | 31 Oct → | |
| mirage | 13–3 | 0.00 | 29% | 23 Oct → | |
| inferno | 9–13 | -0.04 | 9% | 23 Oct → | |
| overpass | 13–6 | 0.01 | 19% | 23 Oct → | |
| italy | 12–12 | -0.05 | 17% | 23 Oct → | |
| overpass | 13–3 | 0.03 | 15% | 17 Oct → | |
| inferno | 6–13 | 0.03 | 41% | 3 Oct → | |
| ancient | 13–3 | 0.06 | 24% | 3 Oct → | |
| inferno | 6–13 | 0.00 | 18% | 2 Oct → | |
| jura | 13–9 | -0.01 | 26% | 19 Sept → | |
| italy | 13–3 | 0.03 | 27% | 19 Sept → | |
| mirage | 4–13 | 0.03 | 23% | 18 Sept → | |
| dust2 | 13–7 | 0.09 | 41% | 18 Sept → | |
| inferno | 13–2 | 0.16 | 13% | 18 Sept → | |
| train | 13–11 | 0.06 | 29% | 10 Sept → | |
| nuke | 13–6 | 0.05 | 27% | 9 Sept → | |
| dust2 | 13–9 | 0.06 | 20% | 23 Aug → | |
| train | 0–11 | -0.05 | 38% | 23 Aug → | |
| mirage | 13–7 | -0.01 | 15% | 22 Aug → | |
| grail | 11–13 | -0.02 | 19% | 22 Aug → | |
| dust2 | 13–10 | 0.05 | 17% | 20 Aug → | |
| ancient | 8–13 | -0.03 | 13% | 20 Aug → | |
| train | 7–13 | 0.06 | 24% | 16 Aug → | |
| overpass | 7–13 | 0.01 | 29% | 15 Aug → | |
| mirage | 3–13 | 0.00 | 18% | 15 Aug → | |
| office | 10–13 | -0.01 | 19% | 13 Aug → | |
| dust2 | 5–13 | 0.03 | 39% | 13 Aug → | |
| inferno | 2–13 | -0.05 | 26% | 12 Aug → | |
| office | 5–13 | 0.01 | 20% | 12 Aug → | |
| ancient | 11–13 | 0.00 | 22% | 12 Aug → | |
| train | 13–0 | 0.21 | 11% | 11 Aug → | |
| inferno | 13–7 | 0.08 | 24% | 6 Aug → | |
| dust2 | 13–2 | 0.02 | 21% | 6 Aug → | |
| mirage | 3–13 | -0.05 | 16% | 5 Aug → | |
| ancient | 15–15 | 0.05 | 22% | 4 Aug → | |
| dust2 | 7–13 | -0.00 | 44% | 3 Aug → |
Match data via Leetify.
