unLachy — CS2 Stats
76561198014446337[U:1:54180609]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 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 70% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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. 664ms 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 4.0/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 19 | 7–12 | 37% | -0.02 | |
| C | 19 | 8–11 | 42% | -0.02 | |
| B | 15 | 7–8 | 47% | -0.04 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| D | 8 | 1–7 | 13% | -0.04 | |
| C | 8 | 3–5 | 38% | -0.05 | |
| A | 7 | 4–3 | 57% | -0.04 | |
| D | 5 | 1–4 | 20% | -0.07 | |
| — | 4 | 1–3 | 25% | -0.07 | |
| office | — | 2 | 2–0 | 100% | -0.04 |
| — | 2 | 1–1 | 50% | -0.05 | |
| edin | — | 1 | 1–0 | 100% | -0.04 |
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.
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 9.8234% — below the 15% 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 21.8782% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.07 | 11% | 26 Jul → | ||
| 4–13 | -0.06 | 3% | 26 Jul → | ||
| 8–13 | -0.05 | 7% | 26 Jul → | ||
| 13–6 | -0.01 | 11% | 25 Jul → | ||
| 13–8 | -0.02 | 8% | 25 Jul → | ||
| 13–5 | -0.01 | 6% | 25 Jul → | ||
| 10–13 | 0.02 | 7% | 22 Jul → | ||
| 13–9 | 0.04 | 6% | 21 Jul → | ||
| 10–13 | -0.04 | 9% | 20 Jul → | ||
| 13–6 | 0.09 | 10% | 19 Jul → | ||
| 2–13 | -0.01 | 5% | 19 Jul → | ||
| 16–14 | -0.06 | 11% | 28 Jun → | ||
| 3–1 | 0.01 | 8% | 28 Jun → | ||
| 13–8 | -0.08 | 13% | 26 Jun → | ||
| 13–7 | -0.05 | 13% | 23 Jun → | ||
| 13–11 | -0.02 | 7% | 21 Jun → | ||
| 6–13 | -0.06 | 9% | 21 Jun → | ||
| 5–13 | -0.03 | 8% | 20 Jun → | ||
| 9–13 | -0.05 | 7% | 20 Jun → | ||
| 13–10 | -0.04 | 3% | 20 Jun → | ||
| 12–12 | -0.04 | 14% | 7 Jun → | ||
| 8–13 | -0.08 | 3% | 7 Jun → | ||
| 12–12 | -0.06 | 2% | 7 Jun → | ||
| 6–13 | 0.03 | 4% | 7 Jun → | ||
| 5–13 | -0.03 | 22% | 6 Jun → | ||
| 7–13 | -0.02 | 14% | 28 May → | ||
| 10–13 | 0.06 | 18% | 18 May → | ||
| 8–13 | -0.07 | 21% | 17 May → | ||
| office | 13–8 | -0.01 | 17% | 17 May → | |
| 10–13 | -0.06 | 17% | 16 May → | ||
| 5–13 | -0.07 | 10% | 16 May → | ||
| office | 13–11 | -0.07 | 26% | 14 May → | |
| 11–13 | -0.04 | 18% | 12 May → | ||
| 12–12 | -0.00 | 15% | 5 May → | ||
| 13–5 | -0.00 | 11% | 3 May → | ||
| 10–13 | -0.06 | 5% | 3 May → | ||
| 3–13 | -0.09 | 26% | 2 May → | ||
| 11–13 | -0.10 | 19% | 2 May → | ||
| 13–5 | -0.02 | 13% | 2 May → | ||
| 8–13 | -0.04 | 15% | 2 May → | ||
| 13–8 | -0.05 | 12% | 2 May → | ||
| 7–13 | -0.09 | 3% | 2 May → | ||
| edin | 13–9 | -0.04 | 10% | 14 Nov → | |
| 5–13 | -0.04 | 10% | 14 Nov → | ||
| 13–5 | -0.05 | 11% | 14 Nov → | ||
| 5–13 | -0.08 | 7% | 12 Jun → | ||
| 13–0 | 0.05 | 18% | 11 Jun → | ||
| 7–13 | -0.05 | 3% | 10 Jun → | ||
| 3–13 | -0.06 | 28% | 9 Jun → | ||
| 13–10 | 0.02 | 9% | 8 Jun → | ||
| 12–12 | -0.03 | 10% | 4 Jun → | ||
| 0–13 | -0.07 | 33% | 4 Jun → | ||
| 9–13 | -0.10 | 8% | 29 May → | ||
| 13–2 | 0.04 | 8% | 29 May → | ||
| 12–12 | -0.06 | 9% | 29 May → | ||
| 8–13 | -0.11 | 10% | 28 May → | ||
| 11–13 | -0.04 | 16% | 26 May → | ||
| 13–2 | 0.01 | 7% | 20 May → | ||
| 13–8 | -0.08 | 7% | 17 May → | ||
| 13–8 | -0.04 | 14% | 17 May → | ||
| 13–4 | -0.00 | 13% | 15 May → | ||
| 7–13 | -0.08 | 6% | 15 May → | ||
| 6–13 | -0.05 | 18% | 14 May → | ||
| 13–4 | -0.03 | 26% | 14 May → | ||
| 4–13 | -0.10 | 21% | 12 May → | ||
| 10–13 | -0.07 | 15% | 12 May → | ||
| 2–13 | -0.04 | 38% | 12 May → | ||
| 11–13 | -0.12 | 6% | 8 May → | ||
| 12–12 | -0.06 | 11% | 1 May → | ||
| 10–13 | -0.01 | 16% | 1 May → | ||
| 13–6 | -0.04 | 15% | 1 May → | ||
| 13–7 | 0.09 | 16% | 1 May → | ||
| 11–13 | -0.06 | 7% | 30 Apr → | ||
| 4–13 | -0.04 | 11% | 30 Apr → | ||
| 6–13 | -0.06 | 9% | 29 Apr → | ||
| 6–13 | 0.01 | 5% | 27 Apr → | ||
| 12–12 | -0.04 | 7% | 26 Apr → | ||
| 13–4 | 0.00 | 15% | 26 Apr → | ||
| 13–5 | 0.04 | 14% | 26 Apr → | ||
| 13–6 | -0.01 | 15% | 26 Apr → | ||
| 13–9 | 0.03 | 10% | 26 Apr → | ||
| 13–7 | -0.07 | 11% | 26 Apr → | ||
| 0–13 | -0.11 | 13% | 26 Apr → | ||
| 11–13 | 0.01 | 16% | 25 Apr → | ||
| 3–13 | -0.08 | 27% | 25 Apr → | ||
| 6–13 | -0.13 | 20% | 25 Apr → | ||
| 9–13 | -0.03 | 20% | 25 Apr → | ||
| 8–13 | -0.05 | 18% | 24 Apr → | ||
| 7–13 | -0.06 | 13% | 24 Apr → | ||
| 6–13 | 0.02 | 10% | 21 Apr → | ||
| 13–9 | 0.02 | 16% | 21 Apr → | ||
| 4–13 | -0.11 | 8% | 21 Apr → | ||
| 10–13 | -0.05 | 17% | 21 Apr → | ||
| 12–12 | -0.02 | 5% | 21 Apr → | ||
| 8–0 | 0.03 | 10% | 21 Apr → | ||
| 13–4 | -0.01 | 18% | 20 Apr → | ||
| 7–13 | 0.02 | 11% | 20 Apr → | ||
| 13–1 | -0.06 | 14% | 20 Apr → | ||
| 13–4 | 0.04 | 13% | 17 Apr → | ||
| 10–13 | 0.01 | 12% | 14 Apr → |
Match data via Leetify.
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