Sausage_with_legs — CS2 Stats
76561198131291132[U:1:171025404]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
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 64% playstyle similarity
Most alike: opening-duel success, 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. 712ms 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 3.2/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | -0.05 | |
| C | 14 | 6–8 | 43% | -0.05 | |
| C | 10 | 4–6 | 40% | -0.06 | |
| A | 8 | 5–3 | 63% | -0.06 | |
| B | 8 | 4–4 | 50% | -0.05 | |
| C | 7 | 3–4 | 43% | -0.06 | |
| grail | A | 7 | 4–3 | 57% | -0.03 |
| D | 6 | 1–5 | 17% | -0.06 | |
| D | 5 | 0–5 | 0% | -0.07 | |
| — | 3 | 1–2 | 33% | -0.09 | |
| — | 2 | 1–1 | 50% | -0.08 | |
| jura | — | 2 | 2–0 | 100% | 0.01 |
| palacio | — | 1 | 0–1 | 0% | -0.13 |
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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.60 | 8.0 |
| Anubis | 2 | 50% | 0.33 | 4.5 |
| Inferno | 1 | 100% | 0.85 | 17.0 |
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 14.6296% — 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 711.8271ms — 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 0.1502 — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 18% | 20 Aug → | ||
| 6–13 | -0.07 | 23% | 20 Aug → | ||
| 13–9 | -0.01 | 18% | 3 Aug → | ||
| 13–8 | -0.01 | 17% | 12 Jul → | ||
| 3–13 | -0.07 | 9% | 12 Jul → | ||
| 13–10 | -0.06 | 18% | 12 Jul → | ||
| 3–13 | -0.07 | 18% | 12 Jul → | ||
| 12–12 | -0.06 | 13% | 3 Jul → | ||
| 13–3 | -0.07 | 8% | 3 Jul → | ||
| 10–3 | -0.11 | 0% | 22 Jun → | ||
| 1–13 | -0.10 | 14% | 22 Jun → | ||
| 7–13 | -0.02 | 33% | 22 Jun → | ||
| 10–13 | -0.07 | 18% | 12 Jun → | ||
| 13–9 | -0.03 | 9% | 11 Jun → | ||
| 13–11 | 0.01 | 16% | 11 Jun → | ||
| 13–4 | -0.01 | 13% | 11 Jun → | ||
| 9–13 | -0.08 | 16% | 8 Jun → | ||
| 13–1 | -0.04 | 12% | 8 Jun → | ||
| 9–13 | -0.08 | 15% | 8 Jun → | ||
| 9–13 | -0.09 | 16% | 2 Jun → | ||
| 13–11 | -0.03 | 14% | 2 Jun → | ||
| 7–13 | -0.02 | 15% | 2 Jun → | ||
| 10–13 | -0.05 | 13% | 29 May → | ||
| 13–10 | -0.03 | 25% | 22 May → | ||
| 12–12 | -0.07 | 9% | 15 May → | ||
| 12–12 | -0.06 | 9% | 15 May → | ||
| 8–13 | -0.04 | 13% | 15 May → | ||
| 12–12 | -0.04 | 17% | 14 May → | ||
| 12–12 | -0.05 | 5% | 14 Dec → | ||
| 7–13 | -0.11 | 9% | 14 Dec → | ||
| 3–13 | -0.10 | 5% | 6 Dec → | ||
| 13–5 | -0.01 | 22% | 6 Dec → | ||
| palacio | 5–13 | -0.13 | 11% | 2 Oct → | |
| 13–2 | -0.01 | 0% | 28 Sept → | ||
| 13–4 | -0.02 | 19% | 28 Sept → | ||
| 13–10 | -0.06 | 13% | 28 Sept → | ||
| 13–10 | -0.08 | 10% | 28 Sept → | ||
| 9–13 | -0.05 | 17% | 28 Sept → | ||
| 13–8 | -0.03 | 19% | 27 Sept → | ||
| 12–12 | -0.06 | 13% | 27 Sept → | ||
| 13–5 | -0.03 | 11% | 27 Sept → | ||
| 13–4 | -0.06 | 6% | 27 Sept → | ||
| 7–13 | -0.07 | 8% | 23 Aug → | ||
| 6–13 | -0.07 | 18% | 23 Aug → | ||
| 12–12 | -0.05 | 10% | 23 Aug → | ||
| 12–12 | -0.09 | 24% | 7 Aug → | ||
| jura | 13–4 | 0.04 | 21% | 5 Aug → | |
| jura | 13–4 | -0.02 | 13% | 5 Aug → | |
| 6–13 | -0.01 | 11% | 5 Aug → | ||
| 11–13 | -0.04 | 28% | 5 Aug → | ||
| 12–12 | -0.12 | 9% | 4 Aug → | ||
| grail | 13–8 | -0.02 | 6% | 6 Jul → | |
| 3–13 | -0.13 | 0% | 4 Jul → | ||
| 9–13 | -0.07 | 13% | 4 Jul → | ||
| 9–13 | -0.04 | 6% | 3 Jul → | ||
| grail | 12–12 | -0.05 | 20% | 3 Jul → | |
| grail | 10–13 | -0.03 | 5% | 2 Jul → | |
| 9–10 | -0.11 | 0% | 30 Jun → | ||
| 5–13 | -0.08 | 14% | 30 Jun → | ||
| 13–10 | -0.05 | 25% | 23 Jun → | ||
| 13–10 | 0.00 | 15% | 22 Jun → | ||
| grail | 5–10 | -0.00 | 11% | 22 Jun → | |
| 11–13 | -0.07 | 5% | 22 Jun → | ||
| 12–8 | -0.02 | 0% | 22 Jun → | ||
| grail | 13–11 | -0.10 | 16% | 22 Jun → | |
| grail | 13–10 | 0.02 | 12% | 22 Jun → | |
| 12–12 | -0.03 | 21% | 22 Jun → | ||
| 4–13 | -0.10 | 6% | 21 Jun → | ||
| 8–13 | -0.05 | 4% | 21 Jun → | ||
| 4–13 | -0.11 | 21% | 21 Jun → | ||
| 8–13 | -0.06 | 18% | 20 Jun → | ||
| 4–13 | -0.04 | 23% | 20 Jun → | ||
| 3–13 | -0.10 | 22% | 19 Jun → | ||
| 12–12 | -0.07 | 9% | 18 Jun → | ||
| 6–13 | -0.07 | 16% | 18 Jun → | ||
| 2–13 | -0.04 | 11% | 18 Jun → | ||
| 13–9 | -0.04 | 24% | 18 Jun → | ||
| 13–4 | -0.05 | 17% | 17 Jun → | ||
| 13–10 | -0.04 | 7% | 16 Jun → | ||
| 10–4 | -0.09 | 5% | 16 Jun → | ||
| 13–7 | -0.09 | 13% | 15 Jun → | ||
| 6–13 | -0.05 | 18% | 15 Jun → | ||
| 13–6 | -0.00 | 6% | 15 Jun → | ||
| 3–13 | -0.10 | 4% | 15 Jun → | ||
| 13–11 | -0.07 | 0% | 14 Jun → | ||
| 13–6 | 0.02 | 22% | 14 Jun → | ||
| 11–13 | -0.03 | 12% | 14 Jun → | ||
| 13–2 | 0.01 | 18% | 14 Jun → | ||
| 13–4 | 0.03 | 5% | 14 Jun → | ||
| 13–2 | -0.12 | 0% | 13 Jun → | ||
| 12–12 | -0.09 | 14% | 13 Jun → | ||
| 13–11 | -0.08 | 6% | 13 Jun → | ||
| 9–13 | -0.11 | 0% | 12 Jun → | ||
| 13–7 | -0.07 | 26% | 12 Jun → | ||
| 10–13 | -0.07 | 19% | 12 Jun → | ||
| grail | 13–9 | -0.06 | 15% | 12 Jun → | |
| 13–4 | -0.03 | 5% | 12 Jun → | ||
| 13–9 | -0.13 | 8% | 12 Jun → | ||
| 13–0 | -0.04 | 14% | 12 Jun → | ||
| 13–8 | -0.07 | 50% | 11 Jun → |
Match data via Leetify.