ζ͜͡ ★Monallama — CS2 Stats
CH76561198049005035[U:1:88739307]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
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 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
Reaction time. 682ms 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 3.4/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | C | 33 | 13–20 | 39% | -0.00 |
 dust2 | C | 19 | 8–11 | 42% | -0.02 |
 inferno | C | 18 | 7–11 | 39% | 0.01 |
 cache | C | 12 | 5–7 | 42% | -0.02 |
 overpass | A | 9 | 5–4 | 56% | -0.01 |
 anubis | A | 5 | 3–2 | 60% | -0.00 |
 nuke | — | 2 | 0–2 | 0% | -0.02 |
 vertigo | — | 1 | 0–1 | 0% | 0.01 |
 ancient | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (39% over 33). Start with the 6 essential Mirage 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 60% | 1.10 | 16.4 |
| Inferno | 6 | 33% | 0.92 | 16.5 |
| Anubis | 4 | 0% | 1.02 | 19.8 |
| Dust2 | 3 | 67% | 1.25 | 18.7 |
| Cache | 1 | 0% | 0.57 | 8.0 |
| Vertigo | 1 | 100% | 1.75 | 21.0 |
| Overpass | 1 | 100% | 1.06 | 19.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9916° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3893 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–9 | -0.09 | 13% | 25 Aug → | |
| anubis | 13–8 | -0.04 | 11% | 14 Jul → | |
| mirage | 8–13 | -0.06 | 14% | 10 Jul → | |
| cache | 13–8 | 0.00 | 22% | 10 Jul → | |
| nuke | 11–13 | -0.02 | 11% | 6 Jul → | |
| cache | 13–5 | -0.00 | 20% | 6 Jul → | |
| mirage | 6–13 | -0.06 | 15% | 6 Jul → | |
| dust2 | 5–13 | -0.05 | 10% | 4 Jun → | |
| mirage | 3–13 | -0.05 | 17% | 4 Jun → | |
| dust2 | 7–13 | -0.06 | 16% | 2 Jun → | |
| inferno | 8–13 | -0.09 | 11% | 31 May → | |
| nuke | 8–13 | -0.02 | 27% | 31 May → | |
| cache | 13–7 | -0.01 | 13% | 31 May → | |
| anubis | 9–13 | -0.04 | 12% | 30 May → | |
| mirage | 0–3 | -0.04 | 0% | 30 May → | |
| anubis | 13–6 | -0.05 | 20% | 30 May → | |
| inferno | 1–13 | -0.04 | 10% | 28 May → | |
| dust2 | 7–13 | 0.01 | 21% | 26 May → | |
| mirage | 5–13 | -0.08 | 9% | 24 May → | |
| mirage | 6–13 | 0.02 | 18% | 24 May → | |
| inferno | 13–11 | 0.04 | 16% | 24 May → | |
| dust2 | 4–13 | -0.03 | 13% | 24 May → | |
| overpass | 13–8 | -0.01 | 17% | 24 May → | |
| inferno | 5–13 | -0.06 | 12% | 24 May → | |
| mirage | 13–7 | 0.06 | 23% | 22 May → | |
| dust2 | 13–4 | 0.01 | 7% | 22 May → | |
| inferno | 13–8 | -0.00 | 19% | 22 May → | |
| dust2 | 9–13 | -0.06 | 38% | 20 May → | |
| mirage | 13–10 | 0.04 | 18% | 20 May → | |
| mirage | 14–16 | 0.01 | 17% | 20 May → | |
| inferno | 13–7 | 0.10 | 8% | 20 May → | |
| cache | 11–13 | -0.05 | 16% | 20 May → | |
| mirage | 13–2 | 0.07 | 29% | 20 May → | |
| inferno | 13–8 | 0.05 | 23% | 19 May → | |
| overpass | 13–10 | -0.08 | 13% | 18 May → | |
| dust2 | 13–8 | -0.06 | 4% | 18 May → | |
| overpass | 13–11 | -0.00 | 12% | 18 May → | |
| mirage | 13–1 | 0.02 | 29% | 18 May → | |
| inferno | 13–4 | 0.10 | 25% | 17 May → | |
| anubis | 13–2 | 0.10 | 17% | 17 May → | |
| overpass | 11–13 | 0.00 | 17% | 17 May → | |
| mirage | 0–7 | -0.04 | 38% | 17 May → | |
| mirage | 13–11 | 0.01 | 13% | 15 May → | |
| mirage | 2–13 | -0.08 | 4% | 14 May → | |
| inferno | 5–13 | 0.03 | 10% | 14 May → | |
| dust2 | 7–13 | -0.01 | 13% | 14 May → | |
| vertigo | 3–13 | 0.01 | 23% | 14 May → | |
| overpass | 6–13 | 0.09 | 18% | 14 May → | |
| mirage | 13–1 | 0.05 | 28% | 14 May → | |
| cache | 12–12 | -0.00 | 6% | 13 May → | |
| dust2 | 12–16 | 0.04 | 21% | 13 May → | |
| mirage | 13–6 | -0.01 | 13% | 13 May → | |
| inferno | 11–13 | -0.00 | 21% | 13 May → | |
| mirage | 8–13 | -0.02 | 18% | 13 May → | |
| cache | 3–13 | -0.04 | 18% | 13 May → | |
| cache | 12–12 | 0.03 | 14% | 13 May → | |
| mirage | 4–13 | -0.04 | 28% | 13 May → | |
| cache | 6–13 | -0.03 | 23% | 4 May → | |
| mirage | 6–13 | -0.06 | 23% | 4 May → | |
| overpass | 9–13 | -0.05 | 21% | 2 May → | |
| cache | 1–13 | -0.05 | 15% | 2 May → | |
| dust2 | 6–13 | -0.05 | 9% | 2 May → | |
| cache | 5–13 | -0.02 | 11% | 30 Apr → | |
| cache | 13–8 | -0.04 | 16% | 30 Apr → | |
| cache | 13–8 | -0.05 | 16% | 30 Apr → | |
| inferno | 4–13 | -0.07 | 17% | 25 Apr → | |
| dust2 | 4–13 | 0.00 | 3% | 19 Apr → | |
| dust2 | 13–10 | 0.05 | 21% | 19 Apr → | |
| inferno | 5–13 | -0.01 | 19% | 11 Mar → | |
| overpass | 13–11 | 0.02 | 14% | 11 Mar → | |
| overpass | 3–13 | -0.15 | 17% | 10 Mar → | |
| mirage | 13–10 | -0.03 | 7% | 10 Mar → | |
| mirage | 14–16 | 0.05 | 16% | 10 Mar → | |
| inferno | 16–14 | -0.08 | 12% | 10 Mar → | |
| dust2 | 13–10 | -0.05 | 19% | 2 Feb → | |
| mirage | 10–13 | -0.03 | 9% | 1 Feb → | |
| mirage | 13–8 | -0.08 | 17% | 1 Feb → | |
| dust2 | 13–7 | -0.00 | 17% | 21 Jan → | |
| inferno | 9–13 | -0.01 | 22% | 21 Jan → | |
| ancient | 13–3 | -0.01 | 17% | 21 Jan → | |
| mirage | 11–13 | -0.03 | 10% | 21 Jan → | |
| mirage | 10–13 | 0.04 | 19% | 3 Aug → | |
| overpass | 13–0 | 0.08 | 14% | 3 Aug → | |
| mirage | 6–13 | 0.01 | 14% | 3 Aug → | |
| anubis | 9–13 | 0.02 | 11% | 13 Jul → | |
| inferno | 11–13 | 0.06 | 19% | 13 Jul → | |
| inferno | 13–11 | 0.04 | 15% | 26 Jun → | |
| mirage | 13–10 | 0.03 | 14% | 26 Jun → | |
| mirage | 13–9 | 0.01 | 10% | 11 Jun → | |
| dust2 | 10–13 | -0.02 | 10% | 11 Jun → | |
| dust2 | 13–6 | 0.06 | 19% | 10 Jun → | |
| mirage | 9–13 | -0.02 | 16% | 9 Jun → | |
| mirage | 13–5 | 0.03 | 23% | 9 Jun → | |
| mirage | 13–7 | 0.06 | 18% | 9 Jun → | |
| inferno | 8–8 | -0.01 | 16% | 7 Jun → | |
| dust2 | 7–13 | -0.04 | 20% | 7 Jun → | |
| mirage | 13–16 | 0.06 | 18% | 5 Jun → | |
| mirage | 9–13 | 0.01 | 17% | 3 Jun → | |
| inferno | 7–13 | 0.06 | 14% | 3 Jun → | |
| dust2 | 13–7 | -0.03 | 11% | 1 Jun → |
Match data via Leetify.