SilverLeg — CS2 Stats
US76561198088970885[U:1:128705157]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 54% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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. 716ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 1.4/10 (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 48 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 | D | 13 | 2–11 | 15% | -0.06 |
 dust2 | D | 12 | 3–9 | 25% | -0.04 |
 inferno | C | 8 | 3–5 | 38% | -0.05 |
 train | D | 7 | 1–6 | 14% | -0.05 |
 anubis | — | 3 | 1–2 | 33% | -0.10 |
 nuke | — | 2 | 2–0 | 100% | -0.01 |
 ancient | — | 2 | 1–1 | 50% | -0.05 |
| office | — | 1 | 1–0 | 100% | -0.11 |
Across the last 48 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.
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 13.3715° — above the 12° mark we flag
- 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 5.2047% — 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 715.8664ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 4–13 | -0.08 | 0% | 6 Jul → | |
| dust2 | 2–13 | -0.17 | 0% | 29 Jun → | |
| anubis | 11–13 | -0.05 | 6% | 26 Jun → | |
| mirage | 13–16 | -0.09 | 4% | 21 Jun → | |
| dust2 | 2–13 | -0.08 | 7% | 20 Jun → | |
| inferno | 1–13 | -0.09 | 4% | 20 Jun → | |
| dust2 | 2–13 | -0.10 | 0% | 18 Jun → | |
| dust2 | 9–13 | -0.03 | 5% | 14 Jun → | |
| mirage | 9–13 | -0.10 | 5% | 13 Jun → | |
| mirage | 16–13 | -0.04 | 4% | 12 Jun → | |
| dust2 | 3–13 | 0.00 | 13% | 12 Jun → | |
| inferno | 13–11 | -0.08 | 5% | 9 Jun → | |
| anubis | 16–14 | -0.08 | 7% | 25 May → | |
| mirage | 0–13 | -0.13 | 0% | 24 May → | |
| dust2 | 10–13 | -0.07 | 15% | 24 May → | |
| inferno | 2–13 | -0.09 | 0% | 24 May → | |
| mirage | 6–13 | -0.05 | 10% | 22 May → | |
| inferno | 11–13 | -0.09 | 0% | 18 May → | |
| mirage | 5–13 | -0.10 | 11% | 17 May → | |
| inferno | 13–8 | -0.02 | 8% | 17 May → | |
| mirage | 13–4 | -0.08 | 15% | 17 May → | |
| inferno | 2–13 | -0.07 | 3% | 16 May → | |
| mirage | 9–13 | -0.05 | 3% | 14 May → | |
| anubis | 6–13 | -0.16 | 0% | 13 May → | |
| inferno | 13–0 | 0.03 | 9% | 11 May → | |
| nuke | 13–10 | 0.01 | 5% | 9 May → | |
| mirage | 4–13 | -0.11 | 0% | 9 May → | |
| inferno | 5–13 | 0.01 | 5% | 20 Sept → | |
| train | 13–7 | -0.04 | 5% | 14 Sept → | |
| mirage | 5–13 | 0.01 | 3% | 14 Sept → | |
| mirage | 6–13 | -0.04 | 12% | 13 Sept → | |
| mirage | 10–13 | 0.04 | 6% | 13 Sept → | |
| train | 8–13 | -0.05 | 14% | 13 Sept → | |
| dust2 | 13–9 | 0.01 | 6% | 13 Sept → | |
| dust2 | 13–4 | 0.03 | 9% | 13 Sept → | |
| nuke | 13–7 | -0.03 | 8% | 13 Sept → | |
| dust2 | 10–13 | -0.08 | 4% | 13 Sept → | |
| train | 0–13 | -0.10 | 14% | 13 Sept → | |
| mirage | 11–13 | -0.04 | 18% | 13 Sept → | |
| train | 10–13 | 0.01 | 17% | 13 Sept → | |
| train | 4–13 | -0.03 | 3% | 11 Sept → | |
| train | 3–13 | -0.04 | 6% | 10 Sept → | |
| ancient | 2–13 | -0.07 | 6% | 8 Sept → | |
| train | 12–12 | -0.08 | 0% | 7 Sept → | |
| ancient | 13–5 | -0.03 | 11% | 3 Sept → | |
| dust2 | 13–1 | 0.09 | 16% | 3 Sept → | |
| dust2 | 8–8 | -0.01 | 12% | 23 Aug → | |
| office | 9–6 | -0.11 | 25% | 10 Aug → |
Match data via Leetify.