MoMo30 — CS2 Stats
76561197982031977[U:1:21766249]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 1,790
- Next: Level 10 at 2,001 — 211 to go
- Reached: Level 9 · Level 8 · Level 7 · Level 6
- Level 9 first seen 2026-08-28
- Level 8 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 94% playstyle similarity
Most alike: positioning profile, utility contribution.
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. 570ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 28 | 13–15 | 46% | 0.01 | |
| A | 22 | 13–9 | 59% | -0.01 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 575 | 53% | 1.09 | 16.0 |
| Dust2 | 537 | 47% | 1.11 | 16.2 |
| Anubis | 355 | 52% | 0.99 | 15.1 |
| Inferno | 323 | 51% | 1.13 | 16.4 |
| Mirage | 130 | 43% | 0.99 | 14.4 |
| Overpass | 120 | 52% | 1.16 | 17.0 |
| Nuke | 65 | 45% | 1.06 | 15.5 |
| Train | 36 | 25% | 0.82 | 13.2 |
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 30.3367% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.06 | 22% | 10 Aug → | ||
| 13–5 | 0.04 | 26% | 10 Aug → | ||
| 13–5 | 0.01 | 28% | 2 Aug → | ||
| 4–13 | -0.03 | 19% | 31 Jul → | ||
| 19–17 | -0.02 | 23% | 8 Jul → | ||
| 9–13 | 0.01 | 12% | 8 Jul → | ||
| 3–13 | -0.04 | 11% | 6 Jul → | ||
| 6–13 | -0.02 | 12% | 2 Jul → | ||
| 13–7 | 0.05 | 13% | 2 Jul → | ||
| 16–14 | 0.03 | 15% | 30 Jun → | ||
| 13–8 | 0.05 | 12% | 30 Jun → | ||
| 9–13 | -0.02 | 10% | 27 Jun → | ||
| 16–14 | -0.01 | 15% | 23 Jun → | ||
| 13–5 | 0.11 | 16% | 23 Jun → | ||
| 12–16 | -0.03 | 18% | 22 Jun → | ||
| 16–13 | -0.02 | 8% | 22 Jun → | ||
| 13–7 | 0.01 | 22% | 21 Jun → | ||
| 9–13 | -0.04 | 12% | 16 Jun → | ||
| 19–15 | 0.04 | 20% | 16 Jun → | ||
| 16–12 | -0.01 | 22% | 15 Jun → | ||
| 11–13 | -0.01 | 16% | 15 Jun → | ||
| 9–13 | -0.04 | 9% | 14 Jun → | ||
| 13–11 | 0.00 | 18% | 14 Jun → | ||
| 13–8 | -0.01 | 12% | 14 Jun → | ||
| 9–13 | 0.00 | 22% | 6 Jun → | ||
| 13–9 | 0.03 | 15% | 2 Jun → | ||
| 9–13 | 0.03 | 17% | 31 May → | ||
| 16–14 | -0.02 | 16% | 31 May → | ||
| 13–9 | -0.01 | 26% | 30 May → | ||
| 13–11 | 0.01 | 15% | 28 May → | ||
| 13–10 | -0.02 | 17% | 27 May → | ||
| 11–13 | -0.02 | 14% | 27 May → | ||
| 8–13 | 0.07 | 23% | 26 May → | ||
| 13–10 | -0.05 | 8% | 25 May → | ||
| 13–8 | 0.04 | 19% | 24 May → | ||
| 13–7 | 0.01 | 17% | 23 May → | ||
| 5–13 | -0.00 | 7% | 22 May → | ||
| 13–7 | 0.09 | 20% | 19 May → | ||
| 19–17 | -0.01 | 12% | 17 May → | ||
| 17–19 | 0.02 | 24% | 17 May → | ||
| 11–13 | -0.04 | 22% | 13 May → | ||
| 3–13 | -0.10 | 14% | 13 May → | ||
| 3–13 | -0.09 | 14% | 12 May → | ||
| 13–9 | 0.03 | 11% | 11 May → | ||
| 14–16 | -0.01 | 14% | 11 May → | ||
| 13–8 | 0.08 | 20% | 11 May → | ||
| 13–6 | 0.07 | 18% | 11 May → | ||
| 13–4 | 0.05 | 12% | 11 May → | ||
| 9–13 | -0.05 | 36% | 27 Apr → | ||
| 5–13 | -0.09 | 24% | 27 Apr → | ||
| 13–11 | 0.03 | 13% | 26 Apr → | ||
| 7–13 | 0.08 | 17% | 23 Apr → | ||
| 5–13 | -0.07 | 15% | 21 Apr → | ||
| 10–13 | 0.02 | 22% | 21 Apr → | ||
| 13–9 | 0.02 | 21% | 14 Apr → | ||
| 8–13 | -0.03 | 17% | 11 Apr → | ||
| 13–11 | 0.01 | 12% | 11 Apr → | ||
| 13–9 | 0.06 | 12% | 11 Apr → | ||
| 13–10 | 0.02 | 11% | 10 Apr → | ||
| 14–16 | 0.03 | 21% | 10 Apr → | ||
| 13–4 | 0.04 | 13% | 10 Apr → | ||
| 13–10 | 0.00 | 19% | 3 Apr → | ||
| 10–13 | -0.02 | 3% | 2 Apr → | ||
| 13–11 | -0.01 | 6% | 1 Apr → | ||
| 14–16 | -0.02 | 18% | 28 Mar → | ||
| 13–5 | 0.10 | 27% | 28 Mar → | ||
| 2–13 | -0.03 | 25% | 24 Mar → | ||
| 9–13 | -0.00 | 14% | 24 Mar → | ||
| 11–13 | 0.01 | 18% | 23 Mar → | ||
| 7–13 | 0.04 | 21% | 21 Mar → | ||
| 13–9 | 0.03 | 24% | 20 Mar → | ||
| 13–2 | 0.07 | 24% | 20 Mar → | ||
| 13–5 | 0.02 | 24% | 18 Mar → | ||
| 14–16 | -0.04 | 16% | 12 Mar → | ||
| 13–7 | 0.03 | 23% | 12 Mar → | ||
| 4–13 | -0.03 | 27% | 8 Mar → | ||
| 13–8 | -0.01 | 12% | 5 Mar → | ||
| 7–13 | -0.06 | 11% | 5 Mar → | ||
| 13–3 | 0.12 | 34% | 5 Mar → | ||
| 13–16 | -0.03 | 23% | 5 Mar → | ||
| 10–13 | -0.07 | 13% | 4 Mar → | ||
| 7–13 | 0.03 | 18% | 3 Mar → | ||
| 13–11 | 0.18 | 28% | 3 Mar → | ||
| 19–17 | -0.02 | 14% | 1 Mar → | ||
| 13–9 | 0.06 | 20% | 1 Mar → | ||
| 16–14 | 0.02 | 14% | 1 Mar → | ||
| 13–8 | 0.05 | 28% | 25 Feb → | ||
| 2–13 | -0.09 | 28% | 25 Feb → | ||
| 13–8 | 0.01 | 15% | 23 Feb → | ||
| 10–13 | 0.02 | 14% | 22 Feb → | ||
| 4–13 | -0.02 | 26% | 22 Feb → | ||
| 9–13 | 0.03 | 14% | 15 Feb → | ||
| 11–13 | 0.00 | 22% | 2 Feb → | ||
| 9–13 | -0.01 | 12% | 2 Feb → | ||
| 13–8 | 0.01 | 9% | 1 Feb → | ||
| 10–13 | -0.01 | 14% | 1 Feb → | ||
| 13–8 | 0.05 | 19% | 1 Feb → | ||
| 10–13 | 0.03 | 24% | 31 Jan → | ||
| 10–13 | -0.06 | 5% | 31 Jan → | ||
| 13–8 | 0.03 | 19% | 30 Jan → |
Match data via Leetify.
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