Sheep — CS2 Stats
76561198070910220[U:1:110644492]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 42.3% | 44.2% | 47.1% | 4.7% short |
| Shot accuracy | 5.1% | 11.6% | 12.8% | 7.7% short |
| Kill/death ratio | 1.27 | 1.03 | 1.08 | above |
| Match win rate | 53.4% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 iM 92% playstyle similarity
Most alike: positioning profile, utility contribution.
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
T-side openings. Opening success drops from 58% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 577ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
 dust2 | A | 24 | 15–9 | 63% | 0.02 |
 nuke | A | 19 | 11–8 | 58% | 0.05 |
 inferno | A | 18 | 10–8 | 56% | 0.03 |
 mirage | B | 13 | 7–6 | 54% | 0.03 |
 ancient | A | 11 | 6–5 | 55% | 0.03 |
 cache | A | 9 | 5–4 | 56% | 0.03 |
 anubis | B | 6 | 3–3 | 50% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis 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.
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 12.2238° — above the 12° mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–4 | 0.10 | 16% | 29 Aug → | |
| ancient | 12–12 | 0.07 | 44% | 25 Aug → | |
| inferno | 13–8 | 0.08 | 25% | 24 Aug → | |
| anubis | 13–3 | -0.00 | 27% | 24 Aug → | |
| dust2 | 13–7 | 0.04 | 26% | 24 Aug → | |
| mirage | 13–8 | 0.03 | 11% | 23 Aug → | |
| dust2 | 8–13 | -0.00 | 25% | 23 Aug → | |
| dust2 | 13–16 | -0.04 | 24% | 23 Aug → | |
| inferno | 5–13 | 0.00 | 19% | 22 Aug → | |
| anubis | 13–8 | 0.02 | 18% | 22 Aug → | |
| nuke | 13–10 | 0.07 | 18% | 22 Aug → | |
| ancient | 13–7 | 0.02 | 28% | 22 Aug → | |
| dust2 | 13–6 | 0.01 | 19% | 20 Aug → | |
| nuke | 13–11 | 0.06 | 15% | 17 Aug → | |
| anubis | 7–13 | -0.02 | 10% | 17 Aug → | |
| dust2 | 11–5 | -0.02 | 5% | 16 Aug → | |
| ancient | 13–1 | 0.02 | 19% | 15 Aug → | |
| mirage | 8–13 | 0.00 | 16% | 15 Aug → | |
| cache | 13–6 | 0.08 | 19% | 14 Aug → | |
| inferno | 12–12 | 0.01 | 15% | 14 Aug → | |
| nuke | 9–13 | 0.04 | 21% | 14 Aug → | |
| dust2 | 12–12 | 0.03 | 17% | 13 Aug → | |
| cache | 13–10 | 0.01 | 17% | 9 Aug → | |
| dust2 | 13–9 | 0.00 | 12% | 9 Aug → | |
| nuke | 13–5 | 0.22 | 18% | 8 Aug → | |
| mirage | 5–13 | -0.03 | 24% | 8 Aug → | |
| ancient | 9–13 | 0.03 | 14% | 1 Aug → | |
| inferno | 1–13 | -0.03 | 26% | 1 Aug → | |
| mirage | 2–13 | 0.00 | 11% | 1 Aug → | |
| dust2 | 6–13 | -0.07 | 6% | 1 Aug → | |
| anubis | 5–13 | -0.06 | 9% | 31 Jul → | |
| inferno | 4–13 | -0.03 | 14% | 31 Jul → | |
| ancient | 13–9 | 0.05 | 6% | 31 Jul → | |
| ancient | 13–11 | 0.06 | 10% | 30 Jul → | |
| nuke | 13–5 | 0.13 | 17% | 29 Jul → | |
| dust2 | 9–13 | -0.05 | 19% | 29 Jul → | |
| nuke | 11–13 | 0.05 | 7% | 29 Jul → | |
| dust2 | 3–13 | -0.03 | 10% | 28 Jul → | |
| inferno | 13–10 | 0.11 | 20% | 27 Jul → | |
| anubis | 9–13 | -0.04 | 18% | 27 Jul → | |
| mirage | 13–9 | 0.03 | 13% | 26 Jul → | |
| nuke | 9–13 | 0.03 | 14% | 26 Jul → | |
| nuke | 5–13 | -0.05 | 15% | 24 Jul → | |
| anubis | 13–10 | -0.03 | 11% | 24 Jul → | |
| ancient | 12–12 | -0.01 | 24% | 23 Jul → | |
| inferno | 13–5 | 0.04 | 16% | 22 Jul → | |
| dust2 | 13–5 | 0.13 | 31% | 21 Jul → | |
| inferno | 13–6 | 0.04 | 23% | 21 Jul → | |
| ancient | 13–10 | 0.09 | 26% | 18 Jul → | |
| dust2 | 13–8 | -0.05 | 8% | 18 Jul → | |
| mirage | 13–1 | 0.11 | 4% | 18 Jul → | |
| nuke | 6–13 | -0.02 | 26% | 17 Jul → | |
| inferno | 3–13 | -0.05 | 11% | 17 Jul → | |
| mirage | 3–13 | -0.07 | 12% | 17 Jul → | |
| ancient | 4–13 | -0.01 | 11% | 17 Jul → | |
| dust2 | 6–13 | 0.02 | 19% | 17 Jul → | |
| nuke | 5–13 | -0.01 | 24% | 16 Jul → | |
| inferno | 13–9 | 0.07 | 14% | 12 Jul → | |
| nuke | 3–13 | -0.01 | 17% | 12 Jul → | |
| cache | 11–13 | 0.06 | 28% | 12 Jul → | |
| inferno | 8–13 | -0.04 | 26% | 11 Jul → | |
| nuke | 13–3 | 0.10 | 27% | 11 Jul → | |
| dust2 | 16–12 | 0.04 | 16% | 11 Jul → | |
| mirage | 11–13 | 0.01 | 13% | 10 Jul → | |
| ancient | 12–12 | 0.03 | 13% | 7 Jul → | |
| nuke | 13–11 | 0.08 | 17% | 7 Jul → | |
| mirage | 13–11 | 0.10 | 14% | 3 Jul → | |
| dust2 | 13–3 | 0.03 | 22% | 3 Jul → | |
| cache | 4–13 | -0.01 | 20% | 3 Jul → | |
| inferno | 13–3 | 0.08 | 8% | 3 Jul → | |
| cache | 13–5 | 0.07 | 17% | 2 Jul → | |
| dust2 | 13–9 | 0.10 | 14% | 2 Jul → | |
| mirage | 13–9 | 0.07 | 10% | 28 Jun → | |
| nuke | 13–7 | 0.08 | 18% | 28 Jun → | |
| cache | 13–9 | 0.03 | 16% | 28 Jun → | |
| inferno | 13–7 | 0.02 | 26% | 27 Jun → | |
| dust2 | 13–3 | 0.12 | 11% | 27 Jun → | |
| nuke | 13–6 | 0.10 | 10% | 27 Jun → | |
| dust2 | 13–4 | 0.14 | 30% | 27 Jun → | |
| inferno | 13–8 | 0.15 | 16% | 27 Jun → | |
| ancient | 13–6 | 0.01 | 14% | 26 Jun → | |
| mirage | 13–8 | -0.00 | 16% | 26 Jun → | |
| nuke | 5–13 | -0.10 | 10% | 26 Jun → | |
| dust2 | 13–0 | 0.12 | 29% | 26 Jun → | |
| inferno | 13–5 | 0.05 | 8% | 25 Jun → | |
| dust2 | 5–13 | -0.05 | 15% | 25 Jun → | |
| cache | 6–13 | -0.05 | 14% | 25 Jun → | |
| nuke | 13–6 | 0.04 | 9% | 24 Jun → | |
| mirage | 13–9 | 0.06 | 16% | 23 Jun → | |
| dust2 | 13–7 | 0.07 | 24% | 22 Jun → | |
| inferno | 11–13 | 0.09 | 20% | 22 Jun → | |
| dust2 | 8–6 | 0.02 | 10% | 21 Jun → | |
| cache | 11–13 | 0.02 | 20% | 19 Jun → | |
| nuke | 13–8 | 0.11 | 24% | 19 Jun → | |
| inferno | 5–13 | -0.01 | 5% | 19 Jun → | |
| dust2 | 10–13 | -0.02 | 9% | 18 Jun → | |
| nuke | 13–9 | 0.10 | 14% | 18 Jun → | |
| mirage | 5–13 | 0.03 | 11% | 17 Jun → | |
| inferno | 13–4 | 0.05 | 17% | 17 Jun → | |
| dust2 | 13–10 | 0.02 | 10% | 16 Jun → |
Match data via Leetify.
