street general — CS2 Stats
76561198094219557[U:1:133953829]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,052
- Next: 3,500 ELO at 3,500 — 448 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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 · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 97% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
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 7.6/10 (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 |
|---|---|---|---|---|---|
 cache | S | 11 | 8–3 | 73% | 0.06 |
 inferno | A | 11 | 7–4 | 64% | 0.05 |
 vertigo | S | 11 | 10–1 | 91% | 0.07 |
 anubis | B | 10 | 5–5 | 50% | 0.05 |
 dust2 | S | 10 | 8–2 | 80% | 0.04 |
 train | A | 9 | 5–4 | 56% | 0.06 |
| office | S | 9 | 6–3 | 67% | 0.04 |
 nuke | C | 8 | 3–5 | 38% | 0.02 |
 mirage | C | 7 | 3–4 | 43% | 0.04 |
 overpass | B | 6 | 3–3 | 50% | 0.09 |
 ancient | — | 3 | 0–3 | 0% | 0.01 |
| jura | — | 3 | 2–1 | 67% | 0.07 |
| italy | — | 1 | 1–0 | 100% | 0.25 |
| grail | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 109 | 63% | 1.43 | 17.5 |
| Dust2 | 104 | 61% | 1.36 | 16.2 |
| Anubis | 99 | 64% | 1.41 | 17.1 |
| Inferno | 81 | 67% | 1.36 | 18.3 |
| Ancient | 65 | 52% | 1.24 | 16.5 |
| Mirage | 52 | 58% | 1.13 | 15.2 |
| Cache | 25 | 64% | 1.44 | 18.8 |
| Overpass | 14 | 43% | 1.33 | 18.6 |
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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–3 | 0.05 | 30% | 26 Aug → | |
| cache | 7–13 | -0.00 | 36% | 26 Aug → | |
| cache | 6–13 | 0.00 | 29% | 26 Aug → | |
| train | 11–13 | -0.03 | 16% | 13 Aug → | |
| train | 10–13 | 0.07 | 26% | 13 Aug → | |
| ancient | 13–16 | 0.01 | 21% | 7 Aug → | |
| cache | 13–4 | 0.07 | 32% | 6 Aug → | |
| inferno | 13–7 | 0.17 | 25% | 5 Aug → | |
| anubis | 13–3 | 0.16 | 27% | 30 Jul → | |
| vertigo | 13–11 | 0.06 | 28% | 29 Jul → | |
| vertigo | 13–9 | -0.02 | 21% | 29 Jul → | |
| inferno | 13–9 | 0.10 | 33% | 28 Jul → | |
| nuke | 11–13 | -0.04 | 24% | 26 Jul → | |
| anubis | 6–13 | -0.05 | 17% | 22 Jul → | |
| cache | 13–9 | 0.06 | 21% | 17 Jul → | |
| dust2 | 13–7 | 0.01 | 36% | 16 Jul → | |
| inferno | 4–13 | -0.04 | 14% | 16 Jul → | |
| dust2 | 13–9 | 0.05 | 24% | 15 Jul → | |
| nuke | 10–13 | 0.07 | 19% | 14 Jul → | |
| office | 13–7 | 0.09 | 29% | 8 Jul → | |
| office | 3–13 | -0.06 | 19% | 8 Jul → | |
| office | 13–8 | 0.07 | 27% | 8 Jul → | |
| mirage | 9–13 | 0.03 | 21% | 3 Jul → | |
| cache | 13–5 | -0.03 | 20% | 2 Jul → | |
| cache | 13–5 | 0.03 | 27% | 30 Jun → | |
| inferno | 13–8 | 0.01 | 30% | 26 Jun → | |
| dust2 | 6–13 | 0.05 | 24% | 25 Jun → | |
| train | 9–13 | 0.01 | 21% | 18 Jun → | |
| anubis | 9–13 | 0.05 | 25% | 17 Jun → | |
| cache | 13–2 | 0.09 | 33% | 11 Jun → | |
| nuke | 9–1 | 0.10 | 17% | 11 Jun → | |
| inferno | 11–13 | 0.04 | 30% | 10 Jun → | |
| dust2 | 13–9 | -0.01 | 21% | 6 Jun → | |
| vertigo | 13–6 | 0.01 | 32% | 3 Jun → | |
| vertigo | 13–4 | 0.04 | 14% | 3 Jun → | |
| anubis | 9–13 | -0.06 | 13% | 27 May → | |
| inferno | 13–6 | 0.03 | 33% | 27 May → | |
| anubis | 10–13 | 0.02 | 20% | 27 May → | |
| anubis | 13–1 | 0.06 | 34% | 27 May → | |
| dust2 | 13–2 | 0.13 | 33% | 21 May → | |
| office | 13–1 | 0.12 | 31% | 13 May → | |
| cache | 10–13 | 0.05 | 18% | 6 May → | |
| cache | 13–7 | 0.11 | 24% | 29 Apr → | |
| cache | 13–9 | 0.20 | 27% | 29 Apr → | |
| train | 13–0 | 0.14 | 31% | 22 Apr → | |
| dust2 | 13–5 | 0.09 | 25% | 16 Apr → | |
| vertigo | 13–7 | 0.11 | 32% | 9 Apr → | |
| vertigo | 13–5 | 0.09 | 18% | 9 Apr → | |
| anubis | 13–1 | 0.02 | 19% | 1 Apr → | |
| mirage | 13–10 | 0.06 | 21% | 25 Mar → | |
| dust2 | 6–13 | -0.02 | 29% | 22 Mar → | |
| office | 12–12 | 0.01 | 21% | 18 Mar → | |
| office | 4–13 | -0.05 | 24% | 18 Mar → | |
| office | 13–8 | 0.01 | 27% | 18 Mar → | |
| overpass | 13–2 | 0.03 | 28% | 11 Mar → | |
| overpass | 12–12 | 0.12 | 23% | 11 Mar → | |
| inferno | 13–5 | 0.19 | 25% | 4 Mar → | |
| train | 13–10 | 0.02 | 12% | 25 Feb → | |
| nuke | 3–13 | -0.04 | 30% | 24 Feb → | |
| nuke | 11–13 | 0.04 | 27% | 24 Feb → | |
| nuke | 7–13 | 0.05 | 26% | 20 Feb → | |
| inferno | 22–20 | 0.06 | 24% | 17 Feb → | |
| dust2 | 13–8 | 0.06 | 20% | 15 Feb → | |
| vertigo | 13–9 | 0.01 | 18% | 11 Feb → | |
| vertigo | 13–5 | 0.09 | 30% | 11 Feb → | |
| dust2 | 13–3 | 0.04 | 23% | 7 Feb → | |
| anubis | 13–7 | 0.11 | 21% | 4 Feb → | |
| inferno | 13–7 | -0.06 | 20% | 2 Feb → | |
| mirage | 13–8 | 0.10 | 20% | 28 Jan → | |
| inferno | 7–13 | 0.06 | 31% | 21 Jan → | |
| office | 13–3 | 0.11 | 30% | 21 Jan → | |
| office | 13–8 | 0.11 | 35% | 21 Jan → | |
| overpass | 12–12 | 0.10 | 26% | 14 Jan → | |
| overpass | 13–0 | 0.10 | 34% | 14 Jan → | |
| nuke | 13–11 | -0.02 | 21% | 11 Jan → | |
| dust2 | 13–4 | 0.02 | 18% | 2 Jan → | |
| vertigo | 13–10 | 0.14 | 34% | 17 Dec → | |
| vertigo | 13–3 | 0.20 | 16% | 17 Dec → | |
| vertigo | 4–13 | 0.04 | 17% | 17 Dec → | |
| anubis | 13–6 | 0.09 | 21% | 10 Dec → | |
| anubis | 11–13 | 0.08 | 31% | 10 Dec → | |
| mirage | 13–5 | 0.12 | 40% | 3 Dec → | |
| mirage | 4–13 | -0.03 | 22% | 26 Nov → | |
| ancient | 14–16 | 0.01 | 20% | 26 Nov → | |
| nuke | 13–11 | 0.02 | 35% | 26 Nov → | |
| overpass | 13–2 | 0.14 | 23% | 19 Nov → | |
| train | 13–7 | 0.06 | 28% | 6 Nov → | |
| italy | 9–4 | 0.25 | 33% | 31 Oct → | |
| overpass | 15–15 | 0.03 | 19% | 2 Oct → | |
| grail | 13–5 | 0.11 | 31% | 29 Aug → | |
| jura | 13–7 | 0.08 | 23% | 30 Jul → | |
| jura | 13–4 | 0.06 | 21% | 30 Jul → | |
| jura | 7–13 | 0.07 | 24% | 5 Jun → | |
| train | 13–1 | 0.03 | 13% | 22 May → | |
| train | 0–13 | -0.03 | 22% | 22 May → | |
| train | 13–4 | 0.26 | 35% | 22 May → | |
| inferno | 11–13 | -0.04 | 38% | 25 Apr → | |
| mirage | 7–13 | -0.03 | 23% | 11 Jan → | |
| ancient | 9–13 | 0.00 | 25% | 31 Dec → | |
| mirage | 6–13 | 0.03 | 32% | 31 Dec → |
Match data via Leetify.
