Win_Slow — CS2 Stats
US76561198102423618[U:1:142157890]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 49.9% | 48.1% | above |
| Shot accuracy | 14.9% | 12.9% | above |
| Kill/death ratio | 2.21 | 1.08 | above |
| Match win rate | 60.5% | 46.5% | above |
Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 ropz 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success.
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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
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.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.7/10 (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 |
|---|---|---|---|---|---|
| S | 20 | 13–7 | 65% | -0.01 | |
| S | 17 | 11–6 | 65% | 0.04 | |
| B | 15 | 8–7 | 53% | 0.05 | |
| D | 12 | 4–8 | 33% | 0.00 | |
| S | 10 | 8–2 | 80% | 0.07 | |
| D | 9 | 2–7 | 22% | 0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (22% over 9). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 1.11 | 15.3 |
| Inferno | 2 | 100% | 1.06 | 21.5 |
| Nuke | 2 | 100% | 1.39 | 21.5 |
| Dust2 | 2 | 50% | 1.32 | 23.0 |
| Cache | 2 | 100% | 1.00 | 13.5 |
| Anubis | 1 | 0% | 1.00 | 15.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.5642% — below the 15% 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 0.4328 — below the 0.5 mark we flag
- 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 39.0474% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.02 | 7% | 28 Aug → | ||
| 13–1 | 0.05 | 6% | 28 Aug → | ||
| 9–13 | 0.02 | 11% | 28 Aug → | ||
| 13–5 | 0.05 | 11% | 27 Aug → | ||
| 9–4 | 0.18 | 18% | 27 Aug → | ||
| 13–8 | 0.05 | 15% | 27 Aug → | ||
| 9–13 | -0.07 | 10% | 26 Aug → | ||
| 13–5 | 0.01 | 19% | 26 Aug → | ||
| 12–12 | 0.04 | 10% | 26 Aug → | ||
| 11–13 | 0.06 | 11% | 25 Aug → | ||
| 13–3 | 0.04 | 14% | 25 Aug → | ||
| 13–9 | 0.08 | 13% | 25 Aug → | ||
| 13–6 | 0.04 | 9% | 25 Aug → | ||
| 13–11 | 0.07 | 13% | 25 Aug → | ||
| 10–13 | 0.01 | 29% | 24 Aug → | ||
| 13–5 | 0.09 | 15% | 22 Aug → | ||
| 6–13 | -0.00 | 3% | 21 Aug → | ||
| 13–10 | 0.11 | 14% | 21 Aug → | ||
| 5–13 | 0.05 | 12% | 20 Aug → | ||
| 8–13 | -0.10 | 16% | 19 Aug → | ||
| 7–13 | 0.03 | 8% | 19 Aug → | ||
| 11–13 | -0.06 | 5% | 18 Aug → | ||
| 13–2 | 0.10 | 17% | 17 Aug → | ||
| 12–12 | 0.07 | 17% | 17 Aug → | ||
| 6–13 | -0.00 | 26% | 17 Aug → | ||
| 9–13 | -0.01 | 10% | 16 Aug → | ||
| 13–7 | 0.07 | 16% | 16 Aug → | ||
| 8–8 | 0.03 | 14% | 16 Aug → | ||
| 5–0 | 0.07 | 7% | 16 Aug → | ||
| 13–8 | 0.01 | 18% | 16 Aug → | ||
| 7–13 | 0.01 | 28% | 15 Aug → | ||
| 13–7 | -0.05 | 21% | 15 Aug → | ||
| 13–4 | 0.10 | 7% | 15 Aug → | ||
| 1–13 | -0.07 | 5% | 15 Aug → | ||
| 11–13 | -0.00 | 3% | 14 Aug → | ||
| 4–13 | -0.03 | 15% | 14 Aug → | ||
| 11–13 | -0.05 | 14% | 14 Aug → | ||
| 13–8 | -0.01 | 15% | 14 Aug → | ||
| 8–13 | 0.06 | 28% | 13 Aug → | ||
| 13–5 | 0.01 | 15% | 13 Aug → | ||
| 13–9 | 0.04 | 20% | 12 Aug → | ||
| 13–5 | -0.04 | 11% | 12 Aug → | ||
| 13–2 | 0.12 | 7% | 12 Aug → | ||
| 11–13 | 0.09 | 6% | 12 Aug → | ||
| 13–8 | 0.05 | 25% | 11 Aug → | ||
| 13–11 | 0.02 | 13% | 8 Aug → | ||
| 1–13 | -0.05 | 6% | 8 Aug → | ||
| 13–4 | -0.05 | 16% | 7 Aug → | ||
| 11–13 | -0.02 | 8% | 7 Aug → | ||
| 13–10 | 0.15 | 15% | 6 Aug → | ||
| 11–13 | 0.02 | 17% | 5 Aug → | ||
| 12–12 | 0.01 | 28% | 3 Aug → | ||
| 1–13 | -0.01 | 9% | 2 Aug → | ||
| 13–9 | 0.04 | 8% | 2 Aug → | ||
| 13–10 | 0.00 | 18% | 31 Jul → | ||
| 10–13 | 0.01 | 26% | 29 Jul → | ||
| 9–13 | 0.05 | 23% | 29 Jul → | ||
| 12–12 | -0.01 | 17% | 28 Jul → | ||
| 13–5 | -0.01 | 8% | 26 Jul → | ||
| 12–12 | -0.08 | 7% | 26 Jul → | ||
| 10–13 | -0.03 | 12% | 26 Jul → | ||
| 10–13 | -0.04 | 10% | 26 Jul → | ||
| 13–5 | -0.01 | 11% | 26 Jul → | ||
| 7–13 | -0.05 | 12% | 25 Jul → | ||
| 13–4 | 0.07 | 8% | 25 Jul → | ||
| 9–13 | 0.04 | 13% | 25 Jul → | ||
| 13–3 | 0.10 | 10% | 25 Jul → | ||
| 10–13 | 0.08 | 17% | 24 Jul → | ||
| 12–12 | 0.01 | 15% | 24 Jul → | ||
| 13–11 | 0.09 | 13% | 24 Jul → | ||
| 6–13 | 0.07 | 9% | 24 Jul → | ||
| 13–10 | 0.03 | 11% | 23 Jul → | ||
| 13–8 | -0.02 | 15% | 21 Jul → | ||
| 16–14 | -0.00 | 16% | 21 Jul → | ||
| 6–13 | -0.01 | 16% | 20 Jul → | ||
| 13–7 | 0.02 | 33% | 20 Jul → | ||
| 13–4 | 0.02 | 24% | 17 Jul → | ||
| 13–10 | 0.02 | 14% | 17 Jul → | ||
| 9–6 | -0.00 | 7% | 17 Jul → | ||
| 9–6 | 0.08 | 23% | 17 Jul → | ||
| 13–9 | -0.02 | 9% | 17 Jul → | ||
| 13–11 | -0.03 | 17% | 16 Jul → | ||
| 13–11 | 0.08 | 16% | 15 Jul → | ||
| 1–13 | -0.04 | 20% | 15 Jul → | ||
| 8–13 | 0.00 | 15% | 15 Jul → | ||
| 8–8 | 0.04 | 8% | 15 Jul → | ||
| 5–13 | -0.01 | 21% | 15 Jul → | ||
| 9–13 | -0.04 | 4% | 14 Jul → | ||
| 12–12 | 0.08 | 21% | 14 Jul → | ||
| 1–13 | 0.02 | 24% | 13 Jul → | ||
| 13–10 | -0.03 | 11% | 12 Jul → | ||
| 13–2 | 0.05 | 14% | 12 Jul → | ||
| 1–11 | -0.08 | 4% | 12 Jul → | ||
| 13–7 | -0.03 | 15% | 12 Jul → | ||
| 13–5 | 0.02 | 26% | 12 Jul → | ||
| office | 13–11 | 0.03 | 8% | 12 Jul → | |
| office | 12–12 | -0.04 | 14% | 12 Jul → | |
| 13–11 | -0.01 | 15% | 12 Jul → | ||
| 13–5 | 0.06 | 11% | 12 Jul → | ||
| 9–3 | 0.20 | 25% | 11 Jul → |
Match data via Leetify.