joe mama — CS2 Stats
76561198352621290[U:1:392355562]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 b1t 97% playstyle similarity
Most alike: utility contribution, 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 57% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| S | 28 | 22–6 | 79% | 0.04 | |
| B | 20 | 9–11 | 45% | 0.01 | |
| S | 16 | 13–3 | 81% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| office | — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 579 | 53% | 1.24 | 18.1 |
| Anubis | 445 | 50% | 1.25 | 17.4 |
| Mirage | 276 | 47% | 1.19 | 16.5 |
| Nuke | 246 | 58% | 1.28 | 18.0 |
| Inferno | 218 | 49% | 1.26 | 17.9 |
| Dust2 | 116 | 41% | 1.13 | 16.2 |
| Vertigo | 83 | 54% | 1.24 | 17.4 |
| Train | 80 | 46% | 1.18 | 17.1 |
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 34.1566% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.12 | 29% | 15 Aug → | ||
| 5–13 | -0.06 | 20% | 15 Aug → | ||
| 16–14 | 0.03 | 25% | 13 Aug → | ||
| 7–13 | -0.05 | 23% | 13 Aug → | ||
| 16–13 | 0.10 | 32% | 12 Aug → | ||
| 6–13 | 0.03 | 25% | 12 Aug → | ||
| 13–11 | 0.01 | 26% | 12 Aug → | ||
| 13–10 | 0.05 | 25% | 10 Aug → | ||
| 13–4 | 0.05 | 32% | 10 Aug → | ||
| 13–6 | 0.10 | 47% | 10 Aug → | ||
| 13–7 | 0.04 | 22% | 10 Aug → | ||
| 13–6 | 0.04 | 26% | 10 Aug → | ||
| 13–8 | 0.00 | 21% | 5 Aug → | ||
| 16–14 | 0.01 | 20% | 31 Jul → | ||
| 4–13 | 0.01 | 38% | 31 Jul → | ||
| 11–13 | 0.04 | 29% | 31 Jul → | ||
| 16–13 | 0.05 | 25% | 31 Jul → | ||
| 9–13 | 0.04 | 36% | 29 Jul → | ||
| 12–16 | 0.01 | 36% | 22 Jul → | ||
| 10–13 | 0.03 | 29% | 22 Jul → | ||
| 3–13 | -0.02 | 29% | 22 Jul → | ||
| 13–7 | 0.00 | 32% | 22 Jul → | ||
| 13–5 | 0.01 | 32% | 20 Jul → | ||
| 9–13 | -0.10 | 8% | 20 Jul → | ||
| 13–11 | 0.03 | 29% | 20 Jul → | ||
| 13–7 | 0.03 | 34% | 17 Jul → | ||
| 13–7 | 0.14 | 35% | 17 Jul → | ||
| 13–5 | 0.01 | 19% | 15 Jul → | ||
| 13–3 | 0.01 | 32% | 14 Jul → | ||
| 3–13 | -0.03 | 29% | 9 Jul → | ||
| 8–13 | -0.02 | 32% | 8 Jul → | ||
| 13–8 | 0.01 | 34% | 8 Jul → | ||
| 13–1 | 0.01 | 55% | 8 Jul → | ||
| 4–13 | 0.01 | 23% | 2 Jul → | ||
| 13–10 | 0.01 | 25% | 2 Jul → | ||
| 9–13 | 0.01 | 38% | 24 Jun → | ||
| 5–13 | -0.05 | 33% | 23 Jun → | ||
| 13–10 | 0.06 | 30% | 23 Jun → | ||
| office | 7–13 | 0.00 | 22% | 21 Jun → | |
| 8–13 | -0.00 | 35% | 21 Jun → | ||
| 13–7 | 0.03 | 24% | 21 Jun → | ||
| 13–2 | 0.06 | 19% | 18 Jun → | ||
| 2–0 | 0.05 | 33% | 18 Jun → | ||
| 13–5 | -0.08 | 35% | 18 Jun → | ||
| 13–7 | -0.04 | 23% | 18 Jun → | ||
| 7–0 | 0.02 | 14% | 18 Jun → | ||
| 13–3 | 0.12 | 32% | 18 Jun → | ||
| 13–5 | -0.01 | 21% | 18 Jun → | ||
| 11–13 | 0.02 | 33% | 18 Jun → | ||
| 13–5 | 0.02 | 26% | 18 Jun → | ||
| 13–6 | -0.05 | 19% | 18 Jun → | ||
| 13–9 | 0.02 | 33% | 18 Jun → | ||
| 13–9 | 0.12 | 33% | 18 Jun → | ||
| 13–5 | 0.03 | 19% | 18 Jun → | ||
| 13–5 | 0.12 | 31% | 18 Jun → | ||
| 0–13 | -0.07 | 25% | 18 Jun → | ||
| 13–5 | 0.08 | 32% | 18 Jun → | ||
| 13–8 | -0.01 | 30% | 18 Jun → | ||
| 13–2 | 0.07 | 27% | 18 Jun → | ||
| 13–3 | 0.05 | 18% | 18 Jun → | ||
| 13–7 | -0.00 | 45% | 16 Jun → | ||
| 16–14 | 0.04 | 28% | 15 Jun → | ||
| 13–6 | 0.02 | 36% | 15 Jun → | ||
| 3–13 | -0.00 | 32% | 15 Jun → | ||
| 13–10 | 0.06 | 30% | 14 Jun → | ||
| 0–8 | -0.09 | 100% | 14 Jun → | ||
| 13–9 | -0.02 | 24% | 14 Jun → | ||
| 14–16 | -0.04 | 13% | 12 Jun → | ||
| 13–11 | 0.09 | 28% | 12 Jun → | ||
| 5–13 | -0.02 | 35% | 12 Jun → | ||
| 13–2 | 0.06 | 15% | 12 Jun → | ||
| 10–13 | -0.04 | 25% | 12 Jun → | ||
| 13–4 | 0.02 | 22% | 12 Jun → | ||
| 9–13 | -0.05 | 16% | 12 Jun → | ||
| 13–8 | 0.01 | 20% | 12 Jun → | ||
| 13–4 | 0.16 | 40% | 10 Jun → | ||
| 8–13 | -0.03 | 18% | 10 Jun → | ||
| 13–7 | -0.03 | 41% | 10 Jun → | ||
| 11–13 | 0.01 | 25% | 10 Jun → | ||
| 13–2 | 0.16 | 27% | 10 Jun → | ||
| 7–13 | -0.05 | 23% | 8 Jun → | ||
| office | 13–7 | 0.05 | 33% | 8 Jun → | |
| 11–13 | -0.01 | 24% | 5 Jun → | ||
| 13–6 | 0.07 | 39% | 5 Jun → | ||
| 13–9 | 0.08 | 23% | 5 Jun → | ||
| 13–16 | 0.04 | 32% | 5 Jun → | ||
| 6–13 | 0.01 | 69% | 5 Jun → | ||
| 7–13 | -0.02 | 46% | 5 Jun → | ||
| 13–7 | -0.00 | 28% | 5 Jun → | ||
| 13–4 | 0.14 | 31% | 5 Jun → | ||
| 0–13 | -0.06 | 0% | 5 Jun → | ||
| 13–10 | 0.03 | 18% | 5 Jun → | ||
| 13–6 | 0.12 | 27% | 5 Jun → | ||
| 16–14 | 0.01 | 22% | 5 Jun → | ||
| 0–12 | -0.01 | 100% | 5 Jun → | ||
| 13–2 | 0.10 | 25% | 5 Jun → | ||
| 4–13 | -0.05 | 36% | 5 Jun → | ||
| 13–5 | -0.01 | 35% | 5 Jun → | ||
| 0–2 | -0.01 | 0% | 5 Jun → | ||
| 13–7 | 0.01 | 31% | 3 Jun → |
Match data via Leetify.