LochNessMolester — CS2 Stats
76561198090180797[U:1:129915069]✓ No bans
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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: Passive 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 NiKo 82% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 689ms 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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 21 | 13–8 | 62% | -0.01 | |
| A | 19 | 11–8 | 58% | -0.03 | |
| A | 16 | 9–7 | 56% | -0.02 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 4 | 3–1 | 75% | 0.09 |
| — | 3 | 3–0 | 100% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.82 | 14.0 |
| Dust2 | 1 | 100% | 0.57 | 8.0 |
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 12.3296% — 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 23.402% — 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.
45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.01 | 8% | 27 Aug → | ||
| 11–13 | -0.05 | 11% | 27 Aug → | ||
| 8–13 | 0.00 | 6% | 19 Aug → | ||
| 11–13 | -0.05 | 22% | 19 Aug → | ||
| 13–11 | -0.01 | 4% | 18 Aug → | ||
| 13–7 | -0.02 | 7% | 18 Aug → | ||
| 13–10 | -0.02 | 13% | 15 Aug → | ||
| 7–13 | -0.07 | 20% | 15 Aug → | ||
| 5–2 | 0.04 | 17% | 15 Aug → | ||
| 9–13 | -0.03 | 5% | 15 Aug → | ||
| 4–13 | 0.05 | 14% | 15 Aug → | ||
| 13–2 | 0.02 | 20% | 13 Aug → | ||
| 16–12 | -0.03 | 19% | 13 Aug → | ||
| 13–8 | 0.01 | 11% | 13 Aug → | ||
| 13–9 | -0.01 | 10% | 13 Aug → | ||
| 10–13 | -0.02 | 3% | 11 Aug → | ||
| 8–13 | -0.06 | 13% | 11 Aug → | ||
| 13–10 | -0.01 | 9% | 9 Aug → | ||
| 8–13 | -0.05 | 13% | 9 Aug → | ||
| 8–13 | 0.02 | 15% | 9 Aug → | ||
| 13–8 | -0.01 | 15% | 8 Aug → | ||
| 7–13 | -0.08 | 13% | 8 Aug → | ||
| 13–9 | -0.06 | 19% | 8 Aug → | ||
| 13–7 | -0.02 | 12% | 7 Aug → | ||
| 13–9 | 0.03 | 9% | 7 Aug → | ||
| 13–5 | 0.03 | 9% | 30 Jul → | ||
| 13–4 | 0.06 | 7% | 30 Jul → | ||
| 13–7 | 0.05 | 20% | 29 Jul → | ||
| 13–6 | 0.18 | 18% | 29 Jul → | ||
| 2–13 | -0.08 | 14% | 25 Jul → | ||
| 9–13 | 0.03 | 15% | 25 Jul → | ||
| 13–8 | 0.00 | 9% | 25 Jul → | ||
| 9–13 | -0.00 | 13% | 23 Jul → | ||
| 10–13 | -0.04 | 14% | 23 Jul → | ||
| 13–10 | 0.05 | 7% | 22 Jul → | ||
| 13–9 | 0.00 | 9% | 17 Jul → | ||
| office | 13–10 | 0.27 | 13% | 9 Jul → | |
| 11–13 | -0.02 | 13% | 9 Jul → | ||
| 9–13 | 0.04 | 14% | 9 Jul → | ||
| office | 13–4 | 0.03 | 10% | 9 Jul → | |
| office | 13–9 | 0.01 | 9% | 8 Jul → | |
| office | 3–13 | 0.05 | 10% | 8 Jul → | |
| 3–13 | 0.02 | 9% | 2 Jul → | ||
| 13–8 | -0.07 | 6% | 2 Jul → | ||
| 11–13 | -0.04 | 12% | 24 Jun → | ||
| 13–2 | 0.02 | 11% | 17 Jun → | ||
| 13–4 | 0.04 | 16% | 17 Jun → | ||
| 13–5 | 0.03 | 13% | 10 Jun → | ||
| 13–9 | 0.02 | 20% | 10 Jun → | ||
| 14–16 | -0.01 | 18% | 8 Jun → | ||
| 9–13 | -0.03 | 10% | 1 Jun → | ||
| 8–13 | -0.03 | 11% | 1 Jun → | ||
| 10–13 | -0.02 | 5% | 1 Jun → | ||
| 13–8 | -0.04 | 8% | 28 May → | ||
| 13–5 | 0.02 | 12% | 28 May → | ||
| 13–10 | -0.02 | 6% | 28 May → | ||
| 13–9 | -0.02 | 26% | 27 May → | ||
| 13–10 | -0.02 | 15% | 24 May → | ||
| 5–13 | -0.05 | 3% | 24 May → | ||
| 11–13 | -0.03 | 10% | 22 May → | ||
| 13–10 | -0.01 | 10% | 22 May → | ||
| 13–11 | -0.02 | 13% | 20 May → | ||
| 10–13 | -0.00 | 15% | 20 May → | ||
| 13–11 | -0.07 | 10% | 20 May → | ||
| 10–13 | -0.03 | 8% | 14 May → | ||
| 13–2 | -0.05 | 17% | 14 May → | ||
| 10–13 | -0.02 | 17% | 12 May → | ||
| 9–13 | -0.05 | 8% | 12 May → | ||
| 13–6 | -0.04 | 12% | 12 May → | ||
| 0–2 | -0.00 | 0% | 12 May → | ||
| 13–4 | 0.02 | 21% | 2 May → | ||
| 13–6 | 0.01 | 12% | 2 May → | ||
| 13–9 | -0.05 | 12% | 29 Apr → | ||
| 13–6 | -0.06 | 13% | 28 Apr → | ||
| 3–13 | -0.00 | 17% | 28 Apr → | ||
| 13–7 | 0.03 | 9% | 28 Apr → | ||
| 13–9 | -0.03 | 4% | 28 Apr → | ||
| 8–13 | -0.03 | 16% | 28 Apr → | ||
| 13–11 | -0.03 | 10% | 28 Apr → | ||
| 13–10 | -0.03 | 13% | 27 Apr → | ||
| 16–12 | 0.02 | 20% | 26 Apr → | ||
| 4–13 | -0.02 | 16% | 26 Apr → | ||
| 11–13 | 0.03 | 15% | 24 Apr → | ||
| 11–13 | -0.01 | 26% | 24 Apr → | ||
| 5–13 | -0.11 | 10% | 22 Apr → | ||
| 14–16 | -0.02 | 10% | 22 Apr → | ||
| 13–8 | -0.04 | 14% | 20 Apr → | ||
| 13–8 | 0.01 | 6% | 20 Apr → | ||
| 13–9 | -0.00 | 16% | 20 Apr → | ||
| 13–6 | 0.04 | 11% | 20 Apr → | ||
| 16–13 | -0.03 | 12% | 17 Apr → | ||
| 10–13 | -0.06 | 5% | 15 Apr → | ||
| 13–10 | 0.03 | 5% | 14 Apr → | ||
| 13–10 | 0.06 | 9% | 14 Apr → | ||
| 9–13 | -0.06 | 14% | 14 Apr → | ||
| 2–13 | -0.07 | 5% | 14 Apr → | ||
| 13–7 | 0.05 | 19% | 14 Apr → | ||
| 13–11 | 0.00 | 14% | 13 Apr → | ||
| 13–3 | -0.01 | 0% | 13 Apr → | ||
| 13–10 | -0.03 | 14% | 9 Apr → |
Match data via Leetify.