immi — CS2 Stats
76561198098020741[U:1:137755013]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side openerEffective flashes
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 donk 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower positioning 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
Strengths
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 62% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 635ms 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 6.6/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.01 | |
| S | 18 | 12–6 | 67% | 0.03 | |
| C | 16 | 6–10 | 38% | 0.01 | |
| S | 10 | 8–2 | 80% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 6 | 17% | 1.06 | 16.3 |
| Nuke | 4 | 75% | 0.98 | 13.8 |
| Anubis | 4 | 50% | 1.24 | 19.8 |
| Mirage | 4 | 75% | 0.95 | 18.5 |
| Inferno | 3 | 100% | 1.47 | 16.7 |
| Cache | 3 | 67% | 0.99 | 13.7 |
| Vertigo | 1 | 100% | 1.50 | 6.0 |
| Ancient | 1 | 100% | 0.94 | 15.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.00 | 19% | 17 Aug → | ||
| 13–11 | -0.02 | 24% | 16 Aug → | ||
| 13–10 | 0.04 | 17% | 10 Aug → | ||
| 13–8 | -0.06 | 23% | 10 Aug → | ||
| 13–5 | 0.11 | 25% | 10 Aug → | ||
| 7–13 | -0.00 | 28% | 10 Aug → | ||
| 3–13 | -0.03 | 21% | 10 Aug → | ||
| 13–6 | 0.05 | 16% | 10 Aug → | ||
| 13–8 | 0.04 | 23% | 9 Aug → | ||
| 10–13 | 0.09 | 22% | 9 Aug → | ||
| 7–13 | 0.01 | 21% | 9 Aug → | ||
| 9–13 | -0.04 | 24% | 8 Aug → | ||
| 13–5 | 0.10 | 23% | 31 Jul → | ||
| 8–13 | -0.00 | 30% | 31 Jul → | ||
| 6–13 | 0.04 | 21% | 31 Jul → | ||
| 13–5 | 0.03 | 18% | 12 May → | ||
| 7–13 | -0.04 | 22% | 11 May → | ||
| 13–11 | 0.02 | 16% | 11 May → | ||
| 7–10 | 0.04 | 29% | 11 May → | ||
| 13–5 | -0.01 | 22% | 11 May → | ||
| 8–13 | -0.03 | 24% | 10 May → | ||
| 13–11 | -0.01 | 17% | 10 May → | ||
| 9–13 | 0.01 | 29% | 6 May → | ||
| 1–3 | -0.04 | 100% | 5 May → | ||
| 11–13 | -0.01 | 17% | 5 May → | ||
| 11–13 | -0.09 | 19% | 4 May → | ||
| 7–13 | 0.03 | 24% | 4 May → | ||
| 9–13 | -0.09 | 7% | 3 May → | ||
| 11–13 | -0.04 | 17% | 3 May → | ||
| 13–4 | 0.02 | 20% | 3 May → | ||
| 13–9 | -0.01 | 20% | 3 May → | ||
| 5–13 | -0.00 | 23% | 3 May → | ||
| 13–6 | -0.02 | 28% | 3 May → | ||
| 13–5 | -0.01 | 15% | 3 May → | ||
| 10–13 | 0.05 | 13% | 3 May → | ||
| 7–13 | 0.04 | 11% | 3 May → | ||
| 13–8 | 0.07 | 24% | 1 May → | ||
| 13–7 | 0.06 | 33% | 30 Apr → | ||
| 13–3 | 0.13 | 32% | 29 Apr → | ||
| 13–5 | 0.03 | 34% | 29 Apr → | ||
| 11–13 | -0.05 | 10% | 29 Apr → | ||
| 13–9 | -0.04 | 22% | 28 Apr → | ||
| 13–5 | 0.01 | 23% | 28 Apr → | ||
| 1–13 | -0.03 | 15% | 28 Apr → | ||
| 8–13 | -0.04 | 24% | 28 Apr → | ||
| 12–12 | 0.01 | 18% | 28 Apr → | ||
| 13–2 | 0.01 | 12% | 27 Apr → | ||
| 6–13 | 0.08 | 15% | 27 Apr → | ||
| 6–13 | -0.05 | 18% | 27 Apr → | ||
| 13–10 | 0.06 | 30% | 27 Apr → | ||
| 13–7 | -0.05 | 18% | 27 Apr → | ||
| 13–8 | 0.01 | 24% | 27 Apr → | ||
| 2–13 | -0.05 | 11% | 27 Apr → | ||
| 12–12 | 0.03 | 15% | 27 Apr → | ||
| 9–13 | 0.01 | 27% | 27 Apr → | ||
| 12–12 | 0.06 | 18% | 26 Apr → | ||
| 7–13 | -0.02 | 34% | 26 Apr → | ||
| 9–13 | -0.04 | 14% | 26 Apr → | ||
| 13–10 | -0.02 | 31% | 26 Apr → | ||
| 11–13 | 0.01 | 38% | 26 Apr → | ||
| 3–13 | 0.03 | 20% | 26 Apr → | ||
| 2–13 | -0.09 | 24% | 26 Apr → | ||
| 13–11 | 0.07 | 25% | 26 Apr → | ||
| 8–13 | 0.02 | 35% | 26 Apr → | ||
| 13–4 | -0.03 | 25% | 26 Apr → | ||
| 12–12 | 0.03 | 12% | 26 Apr → | ||
| 13–6 | 0.15 | 36% | 26 Apr → | ||
| 13–9 | -0.04 | 21% | 25 Apr → | ||
| 12–12 | 0.06 | 32% | 21 Apr → | ||
| 11–13 | -0.02 | 23% | 20 Apr → | ||
| 13–9 | -0.00 | 6% | 20 Apr → | ||
| 6–13 | 0.03 | 19% | 15 Apr → | ||
| 13–8 | -0.02 | 26% | 15 Apr → | ||
| 13–9 | -0.01 | 9% | 14 Apr → | ||
| 13–7 | 0.09 | 22% | 14 Apr → | ||
| 13–8 | 0.15 | 17% | 14 Apr → | ||
| 12–12 | 0.02 | 33% | 14 Apr → | ||
| 13–4 | 0.02 | 20% | 14 Apr → | ||
| 6–4 | -0.10 | 29% | 14 Apr → | ||
| 6–0 | 0.01 | 60% | 13 Apr → | ||
| 13–4 | 0.07 | 24% | 13 Apr → | ||
| 13–5 | 0.02 | 20% | 13 Apr → | ||
| 12–12 | 0.00 | 15% | 13 Apr → | ||
| 13–4 | 0.08 | 33% | 13 Apr → | ||
| 11–13 | -0.00 | 16% | 13 Apr → | ||
| 13–6 | 0.14 | 21% | 13 Apr → | ||
| 13–4 | 0.08 | 25% | 13 Apr → | ||
| 13–9 | -0.00 | 25% | 13 Apr → | ||
| 13–2 | 0.05 | 18% | 12 Apr → | ||
| 13–5 | -0.04 | 21% | 12 Apr → | ||
| 8–13 | 0.04 | 20% | 12 Apr → | ||
| 13–9 | 0.28 | 22% | 12 Apr → | ||
| 10–13 | 0.00 | 35% | 12 Apr → | ||
| 13–6 | 0.02 | 33% | 12 Apr → | ||
| 7–13 | 0.06 | 29% | 12 Apr → | ||
| 13–3 | 0.08 | 32% | 11 Apr → | ||
| 8–13 | -0.04 | 18% | 9 Apr → | ||
| 13–2 | 0.06 | 29% | 8 Apr → | ||
| 13–9 | 0.04 | 21% | 8 Apr → | ||
| 12–12 | -0.04 | 24% | 8 Apr → |
Match data via Leetify.