Umi — CS2 Stats
76561198815186356[U:1:854920628]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 54.2% | 47.2% | 49.9% | above |
| Shot accuracy | 8.2% | 12.7% | 13.4% | 5.2% short |
| Kill/death ratio | 1.15 | 1.09 | 1.12 | above |
| Match win rate | 49.4% | 46.6% | 48.4% | meets |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 24 | 7–17 | 29% | 0.03 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| office | A | 11 | 6–5 | 55% | 0.04 |
| warden | D | 9 | 2–7 | 22% | 0.03 |
| C | 8 | 3–5 | 38% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| shelter | — | 2 | 2–0 | 100% | 0.04 |
| — | 2 | 0–2 | 0% | 0.05 | |
| boulder | — | 1 | 0–1 | 0% | 0.08 |
| stronghold | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 19 | 42% | 1.66 | 20.3 |
| Dust2 | 10 | 60% | 2.13 | 21.8 |
| Inferno | 9 | 56% | 1.19 | 14.1 |
| Nuke | 8 | 88% | 2.08 | 21.9 |
| Ancient | 8 | 38% | 1.05 | 14.5 |
| Anubis | 3 | 33% | 1.72 | 27.7 |
| Vertigo | 2 | 0% | 0.74 | 11.0 |
| Overpass | 1 | 0% | 1.11 | 21.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 32% | 24 Aug → | ||
| 5–13 | -0.02 | 27% | 24 Aug → | ||
| 9–13 | 0.08 | 30% | 24 Aug → | ||
| 13–11 | -0.01 | 13% | 24 Aug → | ||
| 9–13 | -0.04 | 28% | 22 Aug → | ||
| 13–10 | 0.09 | 20% | 22 Aug → | ||
| 9–13 | -0.03 | 27% | 22 Aug → | ||
| 6–13 | -0.02 | 18% | 21 Aug → | ||
| 12–12 | 0.03 | 23% | 21 Aug → | ||
| 6–13 | 0.03 | 30% | 21 Aug → | ||
| 6–3 | -0.02 | 22% | 21 Aug → | ||
| shelter | 13–5 | 0.03 | 33% | 9 Jul → | |
| 13–7 | -0.00 | 22% | 9 Jul → | ||
| 10–13 | 0.04 | 21% | 9 Jul → | ||
| boulder | 8–13 | 0.08 | 29% | 9 Jul → | |
| shelter | 13–5 | 0.05 | 18% | 9 Jul → | |
| 12–12 | 0.03 | 27% | 5 Jul → | ||
| 10–13 | 0.02 | 14% | 2 Jul → | ||
| 4–13 | 0.01 | 30% | 28 Jun → | ||
| office | 7–13 | 0.03 | 33% | 28 Jun → | |
| 2–13 | -0.01 | 24% | 28 Jun → | ||
| 2–13 | -0.02 | 14% | 26 Jun → | ||
| 6–13 | 0.05 | 28% | 25 Jun → | ||
| 9–13 | -0.01 | 20% | 25 Jun → | ||
| 13–1 | 0.00 | 34% | 25 Jun → | ||
| 13–5 | -0.03 | 38% | 19 Jun → | ||
| 13–4 | 0.03 | 26% | 19 Jun → | ||
| 13–11 | 0.02 | 34% | 19 Jun → | ||
| 6–13 | 0.08 | 42% | 19 Jun → | ||
| 8–13 | 0.08 | 24% | 6 Jun → | ||
| 12–12 | 0.00 | 33% | 6 Jun → | ||
| 3–13 | -0.02 | 25% | 6 Jun → | ||
| 13–9 | 0.02 | 28% | 6 Jun → | ||
| 6–13 | 0.06 | 37% | 5 Jun → | ||
| 13–8 | 0.07 | 40% | 5 Jun → | ||
| 13–1 | 0.04 | 19% | 5 Jun → | ||
| 10–13 | 0.03 | 23% | 29 May → | ||
| 10–13 | 0.04 | 13% | 29 May → | ||
| 12–12 | 0.07 | 19% | 29 May → | ||
| 11–13 | -0.01 | 24% | 27 May → | ||
| 13–4 | 0.10 | 30% | 26 May → | ||
| office | 13–9 | -0.03 | 25% | 26 May → | |
| office | 12–12 | 0.06 | 44% | 25 May → | |
| 5–13 | -0.00 | 27% | 25 May → | ||
| 7–13 | 0.02 | 16% | 24 May → | ||
| 13–3 | 0.12 | 28% | 24 May → | ||
| 13–5 | 0.16 | 33% | 22 May → | ||
| 13–9 | 0.08 | 21% | 22 May → | ||
| 11–13 | 0.02 | 13% | 21 May → | ||
| 4–13 | -0.05 | 21% | 21 May → | ||
| 10–13 | 0.00 | 21% | 21 May → | ||
| stronghold | 13–9 | 0.07 | 24% | 18 May → | |
| 13–3 | 0.09 | 33% | 18 May → | ||
| 4–13 | -0.03 | 31% | 18 May → | ||
| office | 13–8 | 0.04 | 24% | 14 May → | |
| office | 5–13 | 0.04 | 26% | 10 May → | |
| office | 13–8 | 0.12 | 15% | 10 May → | |
| office | 4–13 | -0.03 | 35% | 10 May → | |
| 6–13 | -0.01 | 24% | 10 May → | ||
| 9–13 | 0.11 | 33% | 8 May → | ||
| 11–13 | -0.06 | 14% | 8 May → | ||
| 8–13 | 0.02 | 29% | 8 May → | ||
| 11–13 | 0.02 | 29% | 2 May → | ||
| 13–8 | 0.06 | 28% | 2 May → | ||
| 13–4 | 0.04 | 27% | 2 May → | ||
| 11–13 | -0.02 | 19% | 2 May → | ||
| 13–6 | 0.09 | 16% | 2 May → | ||
| 3–0 | -0.00 | 33% | 2 May → | ||
| 9–13 | 0.06 | 28% | 1 May → | ||
| 10–13 | -0.07 | 29% | 1 May → | ||
| 13–10 | 0.08 | 31% | 1 May → | ||
| 12–12 | 0.05 | 28% | 1 May → | ||
| 1–13 | -0.06 | 30% | 27 Apr → | ||
| 1–1 | 0.00 | 100% | 27 Apr → | ||
| 0–13 | -0.02 | 36% | 27 Apr → | ||
| 13–6 | 0.15 | 20% | 26 Apr → | ||
| warden | 9–13 | 0.06 | 36% | 26 Apr → | |
| 2–13 | 0.03 | 26% | 26 Apr → | ||
| 13–7 | 0.07 | 23% | 26 Apr → | ||
| 13–8 | 0.03 | 17% | 26 Apr → | ||
| office | 13–4 | 0.04 | 29% | 25 Apr → | |
| 8–13 | 0.04 | 14% | 25 Apr → | ||
| 5–13 | 0.01 | 33% | 25 Apr → | ||
| warden | 13–11 | 0.11 | 28% | 24 Apr → | |
| warden | 12–12 | 0.01 | 19% | 24 Apr → | |
| 7–13 | 0.11 | 30% | 24 Apr → | ||
| office | 4–13 | 0.03 | 30% | 20 Apr → | |
| office | 13–3 | 0.18 | 39% | 20 Apr → | |
| 13–6 | 0.06 | 27% | 19 Apr → | ||
| 13–3 | 0.08 | 19% | 19 Apr → | ||
| warden | 13–6 | 0.04 | 31% | 19 Apr → | |
| 13–4 | 0.04 | 19% | 19 Apr → | ||
| warden | 8–13 | -0.07 | 48% | 18 Apr → | |
| warden | 12–12 | 0.07 | 24% | 18 Apr → | |
| 12–12 | 0.01 | 23% | 18 Apr → | ||
| warden | 8–13 | -0.04 | 29% | 18 Apr → | |
| warden | 11–13 | 0.07 | 31% | 17 Apr → | |
| office | 13–11 | -0.00 | 32% | 17 Apr → | |
| warden | 9–13 | -0.01 | 35% | 17 Apr → | |
| 13–1 | 0.06 | 20% | 17 Apr → |
Match data via Leetify.