JOEMOMMA ⣿⣿⣿ — CS2 Stats
76561198192951773[U:1:232686045]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerReliable in 1v1s
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 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 668ms 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 4.9/10 (Developing), 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 |
|---|---|---|---|---|---|
| S | 32 | 21–11 | 66% | -0.02 | |
| A | 19 | 12–7 | 63% | -0.00 | |
| B | 13 | 7–6 | 54% | -0.03 | |
| B | 12 | 6–6 | 50% | -0.00 | |
| boulder | — | 4 | 2–2 | 50% | -0.02 |
| — | 3 | 3–0 | 100% | 0.01 | |
| shelter | — | 3 | 2–1 | 67% | 0.00 |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| debris | — | 2 | 0–2 | 0% | -0.17 |
| — | 2 | 2–0 | 100% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| fachwerk | — | 2 | 2–0 | 100% | 0.01 |
| poseidon | — | 1 | 0–1 | 0% | -0.17 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Dust 2 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 8 | 62% | 1.24 | 17.0 |
| Mirage | 5 | 80% | 0.90 | 14.0 |
| Cache | 3 | 33% | 0.66 | 11.3 |
| Anubis | 2 | 0% | 0.80 | 11.5 |
| Nuke | 1 | 0% | 1.13 | 17.0 |
| Inferno | 1 | 100% | 1.45 | 16.0 |
| Ancient | 1 | 100% | 0.67 | 10.0 |
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 22.6699% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 24% | 28 Aug → | ||
| 13–9 | 0.02 | 19% | 28 Aug → | ||
| 12–12 | -0.07 | 15% | 24 Aug → | ||
| 9–13 | -0.03 | 22% | 24 Aug → | ||
| debris | 2–9 | -0.15 | 23% | 23 Aug → | |
| 13–5 | -0.00 | 15% | 23 Aug → | ||
| 12–12 | 0.01 | 18% | 23 Aug → | ||
| 5–13 | 0.06 | 29% | 23 Aug → | ||
| 11–13 | 0.04 | 30% | 14 Aug → | ||
| 13–11 | -0.04 | 20% | 14 Aug → | ||
| 7–1 | 0.07 | 15% | 14 Aug → | ||
| 13–10 | 0.01 | 23% | 12 Aug → | ||
| 11–13 | 0.01 | 19% | 11 Aug → | ||
| 13–5 | 0.03 | 20% | 11 Aug → | ||
| 8–13 | -0.09 | 18% | 10 Aug → | ||
| 13–3 | -0.01 | 19% | 10 Aug → | ||
| 13–9 | 0.03 | 16% | 10 Aug → | ||
| shelter | 8–13 | 0.01 | 24% | 10 Aug → | |
| 13–9 | -0.00 | 19% | 10 Aug → | ||
| 9–13 | 0.03 | 41% | 10 Aug → | ||
| boulder | 13–5 | 0.05 | 22% | 10 Aug → | |
| 11–13 | -0.05 | 35% | 10 Aug → | ||
| 13–10 | -0.04 | 11% | 9 Aug → | ||
| 13–3 | -0.04 | 26% | 9 Aug → | ||
| 0–13 | 0.00 | 21% | 9 Aug → | ||
| 13–4 | -0.06 | 18% | 9 Aug → | ||
| 12–2 | 0.02 | 18% | 8 Aug → | ||
| 7–13 | -0.04 | 17% | 6 Aug → | ||
| 5–13 | -0.07 | 27% | 6 Aug → | ||
| 13–3 | 0.01 | 24% | 6 Aug → | ||
| 7–3 | -0.03 | 38% | 6 Aug → | ||
| 7–13 | 0.03 | 29% | 5 Aug → | ||
| 13–10 | -0.01 | 30% | 3 Aug → | ||
| 16–12 | -0.06 | 20% | 3 Aug → | ||
| 13–5 | 0.00 | 14% | 2 Aug → | ||
| 1–13 | -0.05 | 20% | 2 Aug → | ||
| 13–8 | 0.04 | 14% | 2 Aug → | ||
| 13–11 | -0.08 | 20% | 1 Aug → | ||
| 13–9 | -0.01 | 16% | 31 Jul → | ||
| 13–8 | -0.02 | 19% | 30 Jul → | ||
| 7–13 | -0.02 | 32% | 30 Jul → | ||
| 13–11 | -0.04 | 14% | 28 Jul → | ||
| 5–13 | -0.04 | 20% | 28 Jul → | ||
| 10–1 | 0.04 | 22% | 26 Jul → | ||
| 13–9 | -0.07 | 25% | 24 Jul → | ||
| 13–7 | -0.06 | 16% | 24 Jul → | ||
| 10–13 | -0.04 | 24% | 22 Jul → | ||
| 13–6 | 0.07 | 25% | 22 Jul → | ||
| 7–13 | -0.05 | 20% | 22 Jul → | ||
| 9–13 | 0.01 | 25% | 22 Jul → | ||
| 13–11 | -0.02 | 16% | 22 Jul → | ||
| 9–13 | -0.02 | 23% | 21 Jul → | ||
| 13–4 | 0.02 | 19% | 16 Jul → | ||
| 13–4 | 0.04 | 24% | 15 Jul → | ||
| 13–1 | 0.08 | 38% | 15 Jul → | ||
| 13–10 | 0.01 | 11% | 15 Jul → | ||
| 3–13 | -0.06 | 17% | 15 Jul → | ||
| boulder | 9–13 | 0.02 | 19% | 14 Jul → | |
| 13–9 | -0.08 | 8% | 14 Jul → | ||
| 13–10 | -0.07 | 16% | 13 Jul → | ||
| 13–7 | 0.04 | 29% | 13 Jul → | ||
| 13–1 | 0.05 | 56% | 13 Jul → | ||
| 13–11 | -0.01 | 19% | 13 Jul → | ||
| 13–3 | -0.06 | 19% | 12 Jul → | ||
| 13–8 | -0.01 | 24% | 12 Jul → | ||
| boulder | 9–13 | -0.09 | 11% | 12 Jul → | |
| 13–3 | 0.02 | 26% | 11 Jul → | ||
| fachwerk | 13–7 | -0.05 | 21% | 11 Jul → | |
| shelter | 13–0 | -0.01 | 11% | 11 Jul → | |
| boulder | 13–6 | -0.08 | 25% | 11 Jul → | |
| fachwerk | 13–4 | 0.07 | 19% | 11 Jul → | |
| shelter | 13–8 | 0.00 | 23% | 11 Jul → | |
| 13–7 | -0.12 | 16% | 9 Jul → | ||
| debris | 4–9 | -0.19 | 13% | 9 Jul → | |
| 13–6 | -0.05 | 24% | 6 Jul → | ||
| 6–9 | -0.13 | 19% | 6 Jul → | ||
| 7–13 | -0.07 | 14% | 4 Jul → | ||
| 6–13 | 0.03 | 18% | 4 Jul → | ||
| 2–8 | -0.10 | 11% | 4 Jul → | ||
| 13–8 | 0.01 | 22% | 3 Jul → | ||
| 13–6 | -0.02 | 18% | 3 Jul → | ||
| 13–3 | 0.01 | 13% | 2 Jul → | ||
| 12–12 | -0.01 | 15% | 2 Jul → | ||
| 13–9 | -0.04 | 26% | 2 Jul → | ||
| 13–8 | 0.00 | 14% | 1 Jul → | ||
| 12–12 | -0.04 | 24% | 1 Jul → | ||
| 10–13 | -0.05 | 22% | 30 Jun → | ||
| 13–4 | -0.01 | 24% | 30 Jun → | ||
| 13–7 | -0.01 | 16% | 30 Jun → | ||
| 13–10 | -0.02 | 16% | 30 Jun → | ||
| 11–13 | -0.01 | 27% | 30 Jun → | ||
| 12–12 | -0.00 | 28% | 30 Jun → | ||
| 13–10 | 0.03 | 24% | 30 Jun → | ||
| 14–16 | -0.09 | 21% | 30 Jun → | ||
| 9–13 | -0.11 | 5% | 27 Jun → | ||
| 13–3 | -0.03 | 18% | 26 Jun → | ||
| 13–2 | -0.03 | 27% | 26 Jun → | ||
| 13–2 | 0.00 | 31% | 26 Jun → | ||
| 13–10 | 0.01 | 16% | 26 Jun → | ||
| poseidon | 8–8 | -0.17 | 10% | 26 Jun → |
Match data via Leetify.