☠ SCR4PP3R ☠ — CS2 Stats
76561198077585188[U:1:117319460]Steam profile ↗✓ No bans
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: -30pp win rate · -0.01 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 72% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; lower aim 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
Reaction time. 684ms 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 3.3/10 (Learning), 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 |
|---|---|---|---|---|---|
 inferno | S | 24 | 17–7 | 71% | -0.02 |
 nuke | A | 13 | 8–5 | 62% | -0.01 |
 dust2 | S | 13 | 10–3 | 77% | -0.01 |
| office | A | 10 | 6–4 | 60% | -0.04 |
 ancient | B | 10 | 5–5 | 50% | -0.02 |
 mirage | D | 10 | 3–7 | 30% | -0.02 |
 anubis | D | 9 | 3–6 | 33% | -0.03 |
 overpass | D | 5 | 1–4 | 20% | -0.02 |
 cache | — | 3 | 2–1 | 67% | -0.05 |
 train | — | 1 | 0–1 | 0% | -0.15 |
| boulder | — | 1 | 0–1 | 0% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 11 | 45% | 0.58 | 10.6 |
| Mirage | 10 | 50% | 0.95 | 9.5 |
| Inferno | 5 | 40% | 0.73 | 13.2 |
| Ancient | 3 | 33% | 0.87 | 13.7 |
| Nuke | 1 | 100% | 1.00 | 15.0 |
| Overpass | 1 | 100% | 0.79 | 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
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9578° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | 0.01 | 31% | 20 Jul → | |
| office | 11–7 | -0.02 | 14% | 20 Jul → | |
| ancient | 7–13 | -0.13 | 17% | 20 Jul → | |
| train | 0–6 | -0.15 | 50% | 19 Jul → | |
| boulder | 8–13 | 0.01 | 33% | 19 Jul → | |
| mirage | 10–13 | -0.05 | 26% | 19 Jul → | |
| nuke | 9–13 | -0.08 | 4% | 18 Jul → | |
| inferno | 10–13 | -0.06 | 20% | 18 Jul → | |
| nuke | 7–13 | -0.02 | 17% | 18 Jul → | |
| ancient | 4–13 | -0.07 | 14% | 18 Jul → | |
| anubis | 10–13 | -0.03 | 25% | 18 Jul → | |
| mirage | 13–2 | 0.04 | 8% | 18 Jul → | |
| dust2 | 13–5 | 0.00 | 31% | 18 Jul → | |
| inferno | 13–11 | -0.07 | 20% | 18 Jul → | |
| mirage | 6–13 | -0.08 | 3% | 18 Jul → | |
| nuke | 8–13 | -0.07 | 13% | 7 May → | |
| inferno | 7–13 | -0.06 | 21% | 7 May → | |
| nuke | 13–11 | -0.05 | 33% | 7 May → | |
| office | 13–5 | -0.06 | 40% | 7 May → | |
| inferno | 7–13 | -0.08 | 19% | 6 May → | |
| inferno | 8–13 | -0.06 | 19% | 6 May → | |
| anubis | 12–12 | -0.06 | 22% | 6 May → | |
| cache | 13–6 | -0.04 | 26% | 6 May → | |
| cache | 13–3 | -0.04 | 13% | 4 May → | |
| office | 9–13 | -0.06 | 31% | 4 May → | |
| cache | 5–13 | -0.07 | 39% | 3 May → | |
| office | 7–13 | -0.04 | 32% | 3 May → | |
| mirage | 13–10 | -0.09 | 16% | 3 May → | |
| dust2 | 15–15 | -0.05 | 18% | 3 May → | |
| overpass | 7–13 | -0.01 | 36% | 3 May → | |
| inferno | 10–13 | 0.01 | 29% | 3 May → | |
| anubis | 13–6 | -0.11 | 10% | 2 May → | |
| office | 13–8 | -0.02 | 28% | 2 May → | |
| inferno | 13–2 | -0.07 | 7% | 2 May → | |
| anubis | 13–6 | -0.03 | 13% | 1 May → | |
| nuke | 13–7 | -0.02 | 16% | 30 Apr → | |
| inferno | 13–7 | -0.07 | 17% | 30 Apr → | |
| inferno | 13–7 | -0.01 | 20% | 30 Apr → | |
| nuke | 13–5 | 0.05 | 28% | 26 Apr → | |
| inferno | 13–11 | -0.07 | 14% | 26 Apr → | |
| nuke | 9–13 | -0.02 | 23% | 26 Apr → | |
| office | 11–13 | -0.06 | 17% | 26 Apr → | |
| office | 7–0 | 0.05 | 36% | 26 Apr → | |
| office | 13–10 | -0.12 | 18% | 26 Apr → | |
| overpass | 8–13 | -0.01 | 15% | 23 Apr → | |
| inferno | 13–7 | -0.02 | 27% | 22 Apr → | |
| mirage | 10–13 | -0.03 | 25% | 22 Apr → | |
| dust2 | 13–7 | 0.01 | 11% | 22 Apr → | |
| nuke | 9–1 | 0.02 | 11% | 22 Apr → | |
| dust2 | 13–5 | -0.00 | 24% | 21 Apr → | |
| anubis | 13–8 | 0.01 | 11% | 21 Apr → | |
| ancient | 10–13 | -0.08 | 32% | 21 Apr → | |
| ancient | 13–8 | 0.05 | 25% | 21 Apr → | |
| dust2 | 13–9 | -0.05 | 38% | 21 Apr → | |
| ancient | 13–8 | 0.04 | 23% | 21 Apr → | |
| mirage | 15–15 | -0.01 | 28% | 21 Apr → | |
| inferno | 16–13 | 0.02 | 17% | 21 Apr → | |
| dust2 | 7–13 | -0.06 | 17% | 19 Apr → | |
| nuke | 13–10 | 0.02 | 19% | 19 Apr → | |
| mirage | 13–7 | 0.10 | 24% | 19 Apr → | |
| nuke | 8–13 | -0.06 | 6% | 19 Apr → | |
| office | 13–2 | -0.02 | 24% | 19 Apr → | |
| dust2 | 13–5 | 0.00 | 22% | 27 Mar → | |
| dust2 | 13–8 | -0.02 | 9% | 27 Mar → | |
| ancient | 13–8 | 0.09 | 27% | 27 Mar → | |
| inferno | 13–11 | -0.01 | 22% | 27 Mar → | |
| dust2 | 13–4 | 0.01 | 14% | 27 Mar → | |
| anubis | 7–13 | 0.08 | 20% | 17 Mar → | |
| dust2 | 13–10 | -0.00 | 25% | 17 Mar → | |
| ancient | 5–13 | -0.05 | 10% | 17 Mar → | |
| nuke | 6–3 | 0.07 | 19% | 17 Mar → | |
| dust2 | 13–11 | 0.03 | 27% | 16 Mar → | |
| inferno | 5–13 | -0.03 | 14% | 16 Mar → | |
| mirage | 3–13 | -0.08 | 22% | 16 Mar → | |
| inferno | 7–9 | -0.06 | 28% | 15 Mar → | |
| anubis | 12–12 | -0.03 | 14% | 12 Mar → | |
| anubis | 5–13 | -0.11 | 20% | 12 Mar → | |
| dust2 | 13–7 | 0.05 | 31% | 12 Mar → | |
| dust2 | 7–13 | -0.05 | 13% | 12 Mar → | |
| inferno | 13–9 | 0.06 | 19% | 12 Mar → | |
| overpass | 13–6 | 0.02 | 15% | 11 Mar → | |
| nuke | 13–8 | 0.05 | 24% | 10 Mar → | |
| ancient | 13–10 | 0.02 | 18% | 10 Mar → | |
| mirage | 11–13 | 0.01 | 17% | 10 Mar → | |
| mirage | 7–13 | 0.00 | 30% | 9 Mar → | |
| ancient | 13–8 | 0.01 | 30% | 9 Mar → | |
| ancient | 6–13 | -0.04 | 13% | 9 Mar → | |
| office | 9–13 | -0.07 | 24% | 8 Mar → | |
| anubis | 4–13 | 0.01 | 39% | 8 Mar → | |
| overpass | 8–8 | -0.04 | 34% | 7 Mar → | |
| inferno | 9–3 | 0.02 | 23% | 7 Mar → | |
| vertigo | 6–9 | -0.11 | 8% | 7 Mar → | |
| inferno | 9–2 | -0.01 | 36% | 7 Mar → | |
| inferno | 9–3 | 0.04 | 29% | 7 Mar → | |
| inferno | 9–4 | 0.04 | 19% | 7 Mar → | |
| inferno | 9–2 | 0.05 | 35% | 7 Mar → | |
| overpass | 11–13 | -0.06 | 37% | 6 Mar → | |
| inferno | 9–7 | -0.17 | 18% | 6 Mar → | |
| inferno | 9–4 | 0.01 | 21% | 6 Mar → | |
| inferno | 9–2 | 0.12 | 15% | 6 Mar → |
Match data via Leetify.
