samE — CS2 Stats
EG76561198335744078[U:1:375478350]Steam profile ↗
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: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong 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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 65% on CT to 47% 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 6.4/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | B | 25 | 12–13 | 48% | 0.03 |
 nuke | A | 21 | 12–9 | 57% | 0.03 |
 cache | A | 16 | 9–7 | 56% | 0.02 |
 anubis | B | 15 | 8–7 | 53% | 0.04 |
 dust2 | D | 12 | 3–9 | 25% | 0.02 |
 inferno | D | 9 | 2–7 | 22% | 0.05 |
 ancient | — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 43% | 1.35 | 19.6 |
| Anubis | 16 | 44% | 1.46 | 21.6 |
| Nuke | 13 | 69% | 1.68 | 20.8 |
| Cache | 12 | 83% | 1.50 | 22.6 |
| Dust2 | 11 | 45% | 1.15 | 19.6 |
| Ancient | 9 | 44% | 1.20 | 17.8 |
| Inferno | 7 | 29% | 1.18 | 20.7 |
| Overpass | 1 | 100% | 2.20 | 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.
- 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 0.4401 — 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.
22% 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 | 13–8 | 0.05 | 33% | 26 Aug → | |
| dust2 | 12–16 | 0.00 | 26% | 25 Aug → | |
| mirage | 8–13 | 0.06 | 25% | 25 Aug → | |
| nuke | 5–5 | -0.02 | 15% | 25 Aug → | |
| cache | 8–13 | -0.03 | 27% | 24 Aug → | |
| mirage | 13–4 | 0.05 | 19% | 24 Aug → | |
| anubis | 16–13 | 0.09 | 15% | 24 Aug → | |
| mirage | 9–13 | -0.04 | 32% | 23 Aug → | |
| inferno | 10–13 | 0.01 | 17% | 23 Aug → | |
| dust2 | 9–8 | -0.01 | 10% | 23 Aug → | |
| ancient | 6–13 | -0.05 | 18% | 22 Aug → | |
| anubis | 13–5 | 0.13 | 15% | 22 Aug → | |
| cache | 13–9 | 0.11 | 18% | 22 Aug → | |
| nuke | 13–0 | 0.19 | 25% | 22 Aug → | |
| inferno | 3–13 | 0.04 | 27% | 22 Aug → | |
| cache | 13–6 | -0.02 | 14% | 22 Aug → | |
| mirage | 16–12 | 0.08 | 13% | 22 Aug → | |
| nuke | 8–13 | 0.00 | 2% | 21 Aug → | |
| anubis | 13–4 | 0.06 | 21% | 21 Aug → | |
| mirage | 9–13 | -0.04 | 13% | 21 Aug → | |
| cache | 13–11 | -0.09 | 10% | 20 Aug → | |
| inferno | 10–13 | 0.07 | 9% | 20 Aug → | |
| nuke | 13–7 | 0.10 | 23% | 20 Aug → | |
| anubis | 11–13 | 0.11 | 15% | 20 Aug → | |
| nuke | 13–2 | 0.02 | 18% | 20 Aug → | |
| mirage | 13–11 | 0.05 | 20% | 20 Aug → | |
| mirage | 11–13 | -0.05 | 16% | 18 Aug → | |
| dust2 | 13–4 | 0.02 | 17% | 18 Aug → | |
| cache | 3–6 | 0.06 | 10% | 18 Aug → | |
| mirage | 8–13 | 0.00 | 24% | 18 Aug → | |
| nuke | 13–7 | 0.08 | 19% | 13 Aug → | |
| anubis | 10–13 | 0.01 | 19% | 12 Aug → | |
| mirage | 0–11 | -0.01 | 22% | 12 Aug → | |
| nuke | 13–9 | 0.06 | 18% | 12 Aug → | |
| mirage | 13–9 | 0.10 | 19% | 11 Aug → | |
| nuke | 14–16 | -0.05 | 10% | 11 Aug → | |
| anubis | 13–11 | 0.10 | 21% | 10 Aug → | |
| mirage | 13–7 | 0.22 | 21% | 10 Aug → | |
| mirage | 10–13 | -0.01 | 15% | 10 Aug → | |
| anubis | 9–13 | 0.01 | 11% | 10 Aug → | |
| mirage | 13–7 | 0.01 | 13% | 10 Aug → | |
| cache | 13–10 | 0.03 | 18% | 9 Aug → | |
| anubis | 13–5 | 0.02 | 3% | 9 Aug → | |
| mirage | 13–10 | 0.04 | 22% | 8 Aug → | |
| cache | 3–13 | -0.06 | 11% | 8 Aug → | |
| dust2 | 13–10 | 0.04 | 13% | 7 Aug → | |
| inferno | 9–13 | 0.06 | 26% | 7 Aug → | |
| mirage | 7–13 | 0.03 | 26% | 7 Aug → | |
| nuke | 11–13 | 0.04 | 13% | 7 Aug → | |
| mirage | 14–16 | 0.12 | 29% | 7 Aug → | |
| nuke | 13–3 | 0.06 | 19% | 7 Aug → | |
| anubis | 10–13 | -0.01 | 16% | 6 Aug → | |
| nuke | 7–12 | -0.03 | 10% | 6 Aug → | |
| inferno | 8–13 | 0.03 | 21% | 5 Aug → | |
| cache | 13–16 | 0.02 | 17% | 5 Aug → | |
| cache | 7–13 | -0.06 | 18% | 4 Aug → | |
| anubis | 4–13 | -0.01 | 13% | 3 Aug → | |
| nuke | 13–10 | 0.07 | 11% | 3 Aug → | |
| cache | 13–5 | 0.05 | 33% | 3 Aug → | |
| mirage | 8–13 | -0.06 | 32% | 2 Aug → | |
| inferno | 19–15 | 0.06 | 10% | 2 Aug → | |
| anubis | 13–6 | 0.13 | 17% | 2 Aug → | |
| ancient | 13–10 | -0.00 | 10% | 2 Aug → | |
| mirage | 13–11 | 0.01 | 12% | 2 Aug → | |
| dust2 | 11–13 | -0.01 | 17% | 2 Aug → | |
| cache | 13–8 | 0.11 | 18% | 1 Aug → | |
| mirage | 13–7 | 0.03 | 21% | 1 Aug → | |
| dust2 | 13–11 | 0.04 | 18% | 1 Aug → | |
| anubis | 8–13 | 0.00 | 20% | 1 Aug → | |
| mirage | 7–13 | 0.02 | 11% | 1 Aug → | |
| cache | 13–7 | 0.03 | 26% | 1 Aug → | |
| nuke | 3–13 | -0.03 | 24% | 31 Jul → | |
| cache | 5–13 | 0.02 | 19% | 31 Jul → | |
| dust2 | 10–13 | 0.09 | 19% | 31 Jul → | |
| mirage | 3–13 | -0.03 | 23% | 31 Jul → | |
| nuke | 13–10 | 0.10 | 18% | 31 Jul → | |
| dust2 | 10–13 | 0.02 | 9% | 30 Jul → | |
| anubis | 13–3 | -0.01 | 18% | 30 Jul → | |
| dust2 | 10–13 | 0.02 | 20% | 30 Jul → | |
| cache | 8–13 | -0.02 | 28% | 30 Jul → | |
| nuke | 14–16 | 0.02 | 27% | 30 Jul → | |
| inferno | 7–13 | -0.01 | 31% | 30 Jul → | |
| nuke | 13–3 | 0.01 | 17% | 30 Jul → | |
| cache | 13–1 | 0.05 | 20% | 30 Jul → | |
| anubis | 9–13 | -0.00 | 14% | 29 Jul → | |
| dust2 | 7–13 | -0.03 | 44% | 28 Jul → | |
| anubis | 13–9 | -0.05 | 11% | 28 Jul → | |
| nuke | 10–13 | -0.01 | 21% | 28 Jul → | |
| nuke | 13–7 | 0.03 | 20% | 28 Jul → | |
| nuke | 13–9 | 0.17 | 25% | 27 Jul → | |
| nuke | 1–13 | -0.06 | 13% | 27 Jul → | |
| mirage | 13–3 | 0.09 | 32% | 27 Jul → | |
| mirage | 9–13 | 0.00 | 26% | 27 Jul → | |
| nuke | 6–13 | -0.01 | 14% | 17 Jul → | |
| inferno | 12–12 | 0.05 | 30% | 16 Jul → | |
| dust2 | 7–13 | 0.04 | 24% | 16 Jul → | |
| dust2 | 12–12 | 0.00 | 22% | 16 Jul → | |
| inferno | 13–7 | 0.12 | 35% | 16 Jul → | |
| mirage | 13–10 | 0.06 | 23% | 15 Jul → | |
| cache | 13–3 | 0.03 | 22% | 14 Jul → |
Match data via Leetify.