EliGE (Bald) — CS2 Stats
US76561199283167383[U:1:1322901655]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 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 85% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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. 649ms 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 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| A | 24 | 14–10 | 58% | 0.01 | |
| C | 20 | 8–12 | 40% | 0.00 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| D | 12 | 4–8 | 33% | 0.00 | |
| D | 9 | 2–7 | 22% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.00 |
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.
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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 39 | 49% | 0.88 | 14.9 |
| Dust2 | 29 | 48% | 0.87 | 14.1 |
| Inferno | 25 | 20% | 0.81 | 12.3 |
| Anubis | 22 | 41% | 0.90 | 15.4 |
| Ancient | 20 | 55% | 0.98 | 15.2 |
| Nuke | 8 | 38% | 1.03 | 17.4 |
| Overpass | 2 | 0% | 0.63 | 11.5 |
| Vertigo | 1 | 100% | 3.60 | 18.0 |
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.7876% — below the 40% 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 | |
|---|---|---|---|---|---|
| 13–16 | 0.03 | 14% | 22 Aug → | ||
| 13–6 | 0.02 | 21% | 20 Aug → | ||
| 11–13 | -0.04 | 16% | 20 Aug → | ||
| 7–13 | 0.02 | 20% | 19 Aug → | ||
| 13–5 | 0.06 | 23% | 16 Aug → | ||
| 13–6 | 0.07 | 18% | 16 Aug → | ||
| 15–15 | 0.03 | 23% | 16 Aug → | ||
| 13–6 | 0.00 | 23% | 14 Aug → | ||
| 13–7 | 0.06 | 32% | 9 Aug → | ||
| 7–13 | -0.02 | 12% | 9 Aug → | ||
| 4–13 | -0.07 | 0% | 8 Aug → | ||
| 7–13 | -0.05 | 6% | 6 Aug → | ||
| 3–13 | 0.07 | 21% | 6 Aug → | ||
| 12–16 | -0.14 | 0% | 1 Aug → | ||
| 8–13 | -0.00 | 21% | 31 Jul → | ||
| 15–15 | 0.02 | 26% | 31 Jul → | ||
| 13–7 | 0.09 | 20% | 30 Jul → | ||
| 13–7 | 0.00 | 43% | 29 Jul → | ||
| 13–10 | 0.02 | 25% | 29 Jul → | ||
| 4–13 | -0.10 | 29% | 19 Jul → | ||
| 5–13 | -0.08 | 0% | 16 Jul → | ||
| 11–13 | -0.02 | 15% | 11 Jul → | ||
| 13–6 | 0.04 | 24% | 11 Jul → | ||
| 1–6 | -0.06 | 14% | 10 Jul → | ||
| 13–9 | -0.02 | 13% | 9 Jul → | ||
| 10–13 | 0.05 | 23% | 8 Jul → | ||
| 13–16 | -0.04 | 22% | 5 Jul → | ||
| 10–13 | -0.03 | 24% | 4 Jul → | ||
| 5–13 | 0.01 | 16% | 4 Jul → | ||
| 15–15 | 0.03 | 24% | 3 Jul → | ||
| 7–13 | -0.04 | 31% | 3 Jul → | ||
| 13–11 | -0.01 | 15% | 2 Jul → | ||
| 11–13 | -0.05 | 26% | 30 Jun → | ||
| 13–7 | -0.08 | 17% | 28 Jun → | ||
| 10–13 | -0.02 | 22% | 28 Jun → | ||
| 5–13 | -0.02 | 17% | 26 Jun → | ||
| 16–12 | -0.04 | 16% | 25 Jun → | ||
| 10–13 | 0.04 | 16% | 22 Jun → | ||
| 13–6 | 0.09 | 20% | 21 Jun → | ||
| 13–9 | 0.01 | 26% | 18 Jun → | ||
| 16–14 | -0.03 | 16% | 18 Jun → | ||
| 0–6 | -0.04 | 25% | 17 Jun → | ||
| 13–8 | 0.01 | 19% | 17 Jun → | ||
| 13–3 | 0.03 | 26% | 17 Jun → | ||
| 4–13 | -0.08 | 27% | 17 Jun → | ||
| 13–5 | 0.04 | 38% | 16 Jun → | ||
| 10–13 | -0.02 | 12% | 13 Jun → | ||
| 13–7 | 0.02 | 10% | 10 Jun → | ||
| 0–8 | -0.06 | 33% | 9 Jun → | ||
| 13–8 | 0.02 | 11% | 9 Jun → | ||
| 11–13 | -0.02 | 21% | 9 Jun → | ||
| 13–11 | 0.06 | 22% | 8 Jun → | ||
| 10–13 | -0.05 | 18% | 7 Jun → | ||
| 11–13 | 0.04 | 14% | 6 Jun → | ||
| 13–8 | 0.07 | 24% | 6 Jun → | ||
| 8–13 | 0.04 | 20% | 6 Jun → | ||
| 13–5 | 0.07 | 15% | 6 Jun → | ||
| 13–6 | 0.04 | 20% | 6 Jun → | ||
| 9–13 | -0.02 | 17% | 6 Jun → | ||
| 13–11 | -0.01 | 18% | 5 Jun → | ||
| 9–13 | -0.07 | 19% | 27 May → | ||
| 13–0 | 0.06 | 31% | 26 May → | ||
| 10–13 | 0.02 | 17% | 24 May → | ||
| 8–13 | -0.01 | 20% | 23 May → | ||
| 5–9 | -0.02 | 19% | 22 May → | ||
| 13–8 | 0.00 | 22% | 20 May → | ||
| 10–13 | -0.12 | 29% | 13 May → | ||
| 16–13 | -0.01 | 14% | 10 May → | ||
| 9–13 | 0.02 | 23% | 9 May → | ||
| 10–13 | -0.02 | 22% | 7 May → | ||
| 14–16 | -0.01 | 24% | 3 May → | ||
| 6–13 | 0.02 | 29% | 2 May → | ||
| 8–13 | 0.09 | 30% | 2 May → | ||
| 13–3 | 0.15 | 30% | 2 May → | ||
| 13–6 | 0.00 | 18% | 1 May → | ||
| 2–13 | -0.07 | 19% | 1 May → | ||
| 13–6 | 0.03 | 18% | 1 May → | ||
| 13–3 | 0.03 | 31% | 29 Apr → | ||
| 13–8 | -0.05 | 27% | 29 Apr → | ||
| 3–13 | 0.03 | 32% | 28 Apr → | ||
| 8–13 | 0.03 | 21% | 28 Apr → | ||
| 9–13 | -0.02 | 16% | 26 Apr → | ||
| 16–13 | -0.04 | 29% | 24 Apr → | ||
| 6–13 | -0.04 | 14% | 22 Apr → | ||
| 13–8 | -0.01 | 17% | 22 Apr → | ||
| 13–8 | 0.18 | 42% | 21 Apr → | ||
| 10–13 | -0.01 | 40% | 20 Apr → | ||
| 13–7 | 0.03 | 19% | 19 Apr → | ||
| 7–13 | -0.07 | 16% | 19 Apr → | ||
| 10–13 | -0.04 | 22% | 18 Apr → | ||
| 13–10 | -0.06 | 14% | 15 Apr → | ||
| 13–11 | 0.02 | 17% | 13 Apr → | ||
| 13–5 | 0.01 | 22% | 8 Apr → | ||
| 12–16 | 0.01 | 18% | 8 Apr → | ||
| 7–12 | -0.01 | 11% | 8 Apr → | ||
| 4–13 | 0.02 | 28% | 7 Apr → | ||
| 13–11 | -0.03 | 23% | 5 Apr → | ||
| 16–14 | 0.01 | 9% | 4 Apr → | ||
| 13–11 | -0.00 | 25% | 4 Apr → | ||
| 2–13 | -0.09 | 13% | 4 Apr → |
Match data via Leetify.