✪Black Moose — CS2 Stats
76561198159196278[U:1:198930550]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 · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 Twistzz 94% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 52% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 34 | 21–13 | 62% | 0.03 | |
| A | 16 | 10–6 | 63% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.02 | |
| S | 11 | 9–2 | 82% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| S | 6 | 4–2 | 67% | 0.04 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| office | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 83 | 55% | 1.27 | 17.1 |
| Dust2 | 38 | 55% | 1.13 | 17.4 |
| Anubis | 36 | 78% | 1.36 | 18.8 |
| Ancient | 21 | 67% | 1.18 | 16.9 |
| Inferno | 16 | 69% | 1.39 | 17.6 |
| Overpass | 14 | 79% | 1.49 | 21.0 |
| Cache | 11 | 36% | 1.20 | 15.8 |
| Nuke | 7 | 57% | 1.38 | 14.1 |
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 20.8787% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.01 | 27% | 28 Aug → | ||
| 13–0 | 0.05 | 21% | 26 Aug → | ||
| 10–13 | 0.00 | 20% | 25 Aug → | ||
| 13–6 | 0.08 | 26% | 25 Aug → | ||
| 13–2 | 0.06 | 11% | 25 Aug → | ||
| 12–12 | 0.05 | 23% | 24 Aug → | ||
| 13–9 | 0.16 | 27% | 24 Aug → | ||
| 13–5 | 0.06 | 21% | 11 Aug → | ||
| 10–13 | -0.07 | 10% | 31 Jul → | ||
| 13–2 | 0.01 | 19% | 31 Jul → | ||
| 13–8 | 0.06 | 25% | 31 Jul → | ||
| 13–7 | -0.04 | 17% | 31 Jul → | ||
| 13–7 | -0.03 | 13% | 29 Jul → | ||
| 13–2 | -0.01 | 9% | 25 Jul → | ||
| 13–4 | 0.11 | 28% | 25 Jul → | ||
| 13–9 | 0.14 | 31% | 25 Jul → | ||
| 13–5 | 0.02 | 25% | 25 Jul → | ||
| 13–1 | 0.09 | 13% | 25 Jul → | ||
| 13–10 | 0.05 | 22% | 25 Jul → | ||
| 9–13 | -0.00 | 16% | 25 Jul → | ||
| 5–13 | -0.02 | 25% | 22 Jul → | ||
| 13–6 | 0.04 | 28% | 22 Jul → | ||
| 13–7 | 0.08 | 31% | 22 Jul → | ||
| 13–8 | 0.03 | 15% | 22 Jul → | ||
| 13–5 | -0.02 | 19% | 22 Jul → | ||
| 15–15 | -0.01 | 18% | 22 Jul → | ||
| 8–13 | 0.10 | 24% | 18 Jul → | ||
| 5–13 | 0.04 | 28% | 17 Jul → | ||
| 7–13 | 0.05 | 25% | 17 Jul → | ||
| 13–6 | 0.12 | 28% | 17 Jul → | ||
| 13–4 | 0.15 | 40% | 17 Jul → | ||
| 9–13 | 0.02 | 34% | 16 Jul → | ||
| 13–16 | -0.01 | 26% | 16 Jul → | ||
| 7–13 | -0.05 | 26% | 16 Jul → | ||
| 8–13 | 0.11 | 26% | 16 Jul → | ||
| 13–3 | 0.06 | 20% | 16 Jul → | ||
| 13–9 | 0.09 | 30% | 15 Jul → | ||
| 16–12 | -0.02 | 24% | 15 Jul → | ||
| 13–4 | 0.05 | 26% | 13 Jul → | ||
| 13–3 | 0.04 | 9% | 13 Jul → | ||
| 6–13 | -0.08 | 27% | 13 Jul → | ||
| 13–8 | 0.03 | 20% | 10 Jul → | ||
| 9–13 | 0.05 | 25% | 10 Jul → | ||
| 13–9 | 0.03 | 20% | 10 Jul → | ||
| 13–2 | 0.02 | 20% | 10 Jul → | ||
| 7–13 | 0.00 | 33% | 10 Jul → | ||
| 11–13 | 0.01 | 22% | 8 Jul → | ||
| 9–13 | -0.00 | 32% | 8 Jul → | ||
| 13–4 | 0.12 | 54% | 7 Jul → | ||
| office | 13–6 | 0.01 | 21% | 7 Jul → | |
| 13–9 | 0.04 | 16% | 7 Jul → | ||
| 11–13 | 0.04 | 21% | 21 Jun → | ||
| 4–13 | 0.06 | 44% | 21 Jun → | ||
| 13–11 | 0.06 | 19% | 21 Jun → | ||
| 11–6 | -0.05 | 23% | 12 Jun → | ||
| 11–13 | -0.01 | 28% | 27 May → | ||
| 13–10 | 0.05 | 38% | 27 May → | ||
| 13–11 | -0.01 | 34% | 27 May → | ||
| 7–13 | -0.06 | 21% | 21 May → | ||
| 13–8 | -0.00 | 24% | 20 May → | ||
| 13–6 | 0.07 | 22% | 20 May → | ||
| 13–8 | 0.07 | 25% | 20 May → | ||
| 13–6 | 0.06 | 26% | 30 Apr → | ||
| 13–3 | 0.01 | 46% | 30 Apr → | ||
| 11–13 | -0.01 | 25% | 29 Apr → | ||
| 7–13 | -0.03 | 18% | 29 Apr → | ||
| 13–11 | -0.04 | 24% | 16 Apr → | ||
| 10–13 | -0.00 | 27% | 14 Apr → | ||
| 13–3 | 0.07 | 16% | 9 Apr → | ||
| 13–10 | 0.11 | 19% | 27 Mar → | ||
| 8–13 | -0.05 | 33% | 26 Mar → | ||
| 13–8 | 0.01 | 13% | 22 Mar → | ||
| 13–4 | 0.04 | 29% | 22 Mar → | ||
| 13–10 | 0.03 | 17% | 7 Mar → | ||
| 13–7 | 0.07 | 24% | 7 Mar → | ||
| 13–11 | 0.01 | 22% | 7 Mar → | ||
| 13–1 | 0.17 | 29% | 7 Mar → | ||
| 7–13 | -0.02 | 17% | 7 Mar → | ||
| 16–12 | 0.08 | 39% | 5 Mar → | ||
| 7–13 | 0.01 | 20% | 1 Mar → | ||
| 13–8 | 0.08 | 26% | 1 Mar → | ||
| 13–10 | -0.03 | 29% | 1 Mar → | ||
| 14–16 | -0.02 | 28% | 1 Mar → | ||
| 13–9 | 0.01 | 17% | 1 Mar → | ||
| 1–13 | -0.12 | 25% | 28 Feb → | ||
| 13–16 | -0.01 | 32% | 24 Feb → | ||
| 13–9 | 0.02 | 35% | 24 Feb → | ||
| 13–3 | 0.02 | 35% | 22 Feb → | ||
| 13–9 | 0.05 | 18% | 22 Feb → | ||
| 13–8 | -0.01 | 25% | 22 Feb → | ||
| 7–13 | 0.03 | 29% | 22 Feb → | ||
| 13–5 | 0.04 | 17% | 22 Feb → | ||
| 13–6 | 0.01 | 36% | 21 Feb → | ||
| 3–13 | 0.04 | 41% | 14 Feb → | ||
| 5–13 | 0.09 | 53% | 14 Feb → | ||
| 5–13 | -0.04 | 35% | 14 Feb → | ||
| 13–4 | 0.03 | 37% | 17 May → | ||
| 10–13 | 0.04 | 22% | 17 May → | ||
| 16–14 | 0.01 | 18% | 5 Aug → | ||
| 13–2 | 0.09 | 39% | 5 Aug → |
Match data via Leetify.
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