moe — CS2 Stats
CA76561198144482735[U:1:184217007]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 jL 93% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Strengths
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 671ms 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 |
|---|---|---|---|---|---|
| A | 40 | 22–18 | 55% | 0.00 | |
| debris | S | 11 | 8–3 | 73% | 0.02 |
| D | 9 | 2–7 | 22% | 0.01 | |
| poseidon | C | 8 | 3–5 | 38% | -0.01 |
| D | 7 | 2–5 | 29% | 0.01 | |
| eldorado | D | 6 | 2–4 | 33% | -0.06 |
| A | 5 | 3–2 | 60% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| shelter | — | 2 | 1–1 | 50% | 0.03 |
| office | — | 2 | 1–1 | 50% | 0.02 |
| — | 2 | 1–1 | 50% | 0.08 | |
| warden | — | 2 | 1–1 | 50% | 0.02 |
| — | 1 | 0–1 | 0% | 0.04 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.05 |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 6 | 50% | 1.34 | 14.2 |
| Mirage | 3 | 33% | 1.07 | 17.3 |
| Inferno | 3 | 0% | 0.94 | 14.3 |
| Vertigo | 2 | 50% | 1.16 | 17.5 |
| Nuke | 2 | 50% | 2.42 | 17.5 |
| Dust2 | 2 | 100% | 2.16 | 15.0 |
| Train | 1 | 100% | 1.14 | 24.0 |
| Ancient | 1 | 100% | 1.00 | 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.
- 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 38.343% — 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 | |
|---|---|---|---|---|---|
| 0–8 | -0.01 | 29% | 24 Aug → | ||
| 13–2 | 0.03 | 19% | 24 Aug → | ||
| 13–0 | 0.06 | 26% | 4 Aug → | ||
| poseidon | 8–8 | -0.13 | 22% | 4 Aug → | |
| eldorado | 3–9 | -0.12 | 36% | 4 Aug → | |
| debris | 9–5 | 0.09 | 23% | 4 Aug → | |
| 11–13 | 0.11 | 17% | 2 Aug → | ||
| shelter | 7–0 | 0.09 | 11% | 2 Aug → | |
| debris | 5–9 | -0.05 | 18% | 27 Jul → | |
| poseidon | 9–5 | 0.03 | 18% | 27 Jul → | |
| 4–9 | 0.04 | 14% | 27 Jul → | ||
| debris | 9–7 | -0.00 | 11% | 27 Jul → | |
| poseidon | 9–6 | 0.09 | 20% | 25 Jul → | |
| fachwerk | 13–7 | 0.05 | 13% | 20 Jul → | |
| poseidon | 5–9 | -0.06 | 36% | 20 Jul → | |
| poseidon | 9–6 | 0.06 | 30% | 18 Jul → | |
| debris | 9–5 | 0.04 | 28% | 18 Jul → | |
| debris | 9–5 | 0.02 | 12% | 18 Jul → | |
| debris | 9–7 | 0.04 | 14% | 16 Jul → | |
| eldorado | 4–9 | -0.13 | 24% | 16 Jul → | |
| eldorado | 0–8 | -0.11 | 0% | 16 Jul → | |
| eldorado | 9–1 | 0.16 | 24% | 15 Jul → | |
| debris | 1–9 | -0.22 | 78% | 15 Jul → | |
| debris | 9–5 | 0.12 | 26% | 15 Jul → | |
| 11–13 | 0.03 | 24% | 11 Jul → | ||
| 12–12 | 0.03 | 30% | 11 Jul → | ||
| office | 13–11 | 0.06 | 23% | 11 Jul → | |
| office | 2–13 | -0.02 | 16% | 11 Jul → | |
| eldorado | 9–4 | 0.00 | 41% | 11 Jul → | |
| debris | 8–8 | 0.10 | 23% | 11 Jul → | |
| debris | 9–7 | 0.06 | 27% | 11 Jul → | |
| eldorado | 8–8 | -0.14 | 25% | 9 Jul → | |
| shelter | 12–12 | -0.02 | 16% | 9 Jul → | |
| debris | 9–6 | -0.00 | 17% | 9 Jul → | |
| 12–12 | -0.02 | 38% | 7 Jul → | ||
| 13–7 | -0.01 | 11% | 3 Jul → | ||
| 13–4 | 0.08 | 19% | 3 Jul → | ||
| 4–13 | 0.03 | 26% | 3 Jul → | ||
| 9–13 | -0.03 | 23% | 28 Jun → | ||
| 11–13 | -0.03 | 27% | 21 Jun → | ||
| 12–12 | 0.03 | 20% | 21 Jun → | ||
| 13–7 | 0.12 | 24% | 20 Jun → | ||
| 7–13 | 0.00 | 29% | 20 Jun → | ||
| 3–13 | -0.08 | 22% | 1 Jun → | ||
| 13–9 | 0.03 | 29% | 30 May → | ||
| 13–4 | 0.12 | 24% | 23 May → | ||
| poseidon | 7–9 | -0.09 | 18% | 23 May → | |
| poseidon | 7–9 | 0.02 | 58% | 23 May → | |
| poseidon | 8–8 | 0.02 | 42% | 23 May → | |
| 13–11 | -0.02 | 11% | 21 May → | ||
| 8–13 | -0.04 | 17% | 20 May → | ||
| 7–13 | -0.05 | 9% | 20 May → | ||
| 4–13 | -0.04 | 36% | 20 May → | ||
| 7–13 | -0.03 | 25% | 18 May → | ||
| 11–13 | 0.11 | 28% | 18 May → | ||
| 12–5 | 0.11 | 22% | 18 May → | ||
| 13–3 | 0.10 | 15% | 18 May → | ||
| 13–11 | 0.00 | 19% | 18 May → | ||
| 13–7 | 0.03 | 24% | 17 May → | ||
| 13–3 | 0.03 | 18% | 17 May → | ||
| 13–8 | 0.01 | 11% | 14 May → | ||
| 12–12 | -0.03 | 10% | 13 May → | ||
| 13–9 | -0.02 | 28% | 12 May → | ||
| 13–7 | -0.02 | 32% | 12 May → | ||
| 6–13 | -0.00 | 16% | 10 May → | ||
| 13–9 | -0.01 | 24% | 10 May → | ||
| 1–13 | -0.05 | 19% | 10 May → | ||
| 8–13 | -0.05 | 12% | 10 May → | ||
| 13–6 | -0.07 | 11% | 10 May → | ||
| 12–12 | -0.01 | 15% | 10 May → | ||
| 5–13 | 0.02 | 21% | 8 May → | ||
| 6–13 | -0.06 | 14% | 8 May → | ||
| 13–0 | 0.13 | 15% | 6 May → | ||
| 5–13 | -0.08 | 25% | 5 May → | ||
| 13–6 | 0.10 | 28% | 5 May → | ||
| 13–10 | 0.06 | 20% | 5 May → | ||
| 13–11 | 0.03 | 15% | 4 May → | ||
| 5–13 | -0.05 | 31% | 4 May → | ||
| 11–13 | 0.08 | 23% | 3 May → | ||
| 6–13 | 0.01 | 24% | 3 May → | ||
| 13–9 | 0.02 | 24% | 3 May → | ||
| 11–13 | -0.03 | 18% | 3 May → | ||
| 3–13 | -0.07 | 7% | 3 May → | ||
| 5–6 | -0.08 | 32% | 3 May → | ||
| 13–7 | -0.02 | 23% | 3 May → | ||
| 13–8 | 0.02 | 18% | 3 May → | ||
| 10–13 | 0.05 | 25% | 2 May → | ||
| 13–9 | -0.01 | 33% | 2 May → | ||
| 13–11 | -0.02 | 13% | 30 Apr → | ||
| 8–13 | -0.05 | 10% | 30 Apr → | ||
| 13–6 | -0.00 | 19% | 28 Apr → | ||
| 3–13 | -0.01 | 20% | 26 Apr → | ||
| 13–10 | -0.01 | 25% | 26 Apr → | ||
| 4–13 | 0.01 | 17% | 6 Apr → | ||
| warden | 7–13 | -0.07 | 16% | 5 Apr → | |
| 13–7 | -0.00 | 30% | 4 Apr → | ||
| 13–6 | 0.13 | 28% | 3 Apr → | ||
| 10–13 | 0.00 | 33% | 3 Apr → | ||
| warden | 13–6 | 0.10 | 26% | 3 Apr → | |
| 6–13 | -0.05 | 18% | 3 Apr → |
Match data via Leetify.