Sensei Moony Lawrence — CS2 Stats
76561198036610609[U:1:76344881]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 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 75% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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. 650ms 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 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| office | B | 25 | 12–13 | 48% | 0.00 |
| D | 21 | 6–15 | 29% | -0.03 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.04 | |
| C | 8 | 3–5 | 38% | -0.03 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| poseidon | — | 1 | 0–1 | 0% | -0.11 |
| eldorado | — | 1 | 0–1 | 0% | 0.05 |
| debris | — | 1 | 0–1 | 0% | 0.02 |
| fachwerk | — | 1 | 0–1 | 0% | -0.07 |
| boulder | — | 1 | 0–1 | 0% | -0.04 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
| — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 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 resultsLLLLL
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.
- 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 0.411 — 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 29.25% — 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.
29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.05 | 20% | 30 Jul → | ||
| 5–13 | -0.05 | 16% | 30 Jul → | ||
| 13–7 | -0.06 | 0% | 30 Jul → | ||
| 5–13 | -0.02 | 16% | 30 Jul → | ||
| poseidon | 5–9 | -0.11 | 29% | 9 Jul → | |
| eldorado | 7–9 | 0.05 | 17% | 9 Jul → | |
| debris | 7–9 | 0.02 | 20% | 9 Jul → | |
| fachwerk | 7–13 | -0.07 | 21% | 9 Jul → | |
| boulder | 6–13 | -0.04 | 26% | 9 Jul → | |
| shelter | 13–8 | -0.03 | 24% | 9 Jul → | |
| 13–9 | -0.04 | 20% | 27 Jun → | ||
| 13–9 | -0.02 | 17% | 27 Jun → | ||
| 5–13 | -0.01 | 15% | 26 Jun → | ||
| 11–13 | -0.09 | 19% | 26 Jun → | ||
| 13–7 | -0.04 | 14% | 22 Jun → | ||
| 14–16 | 0.01 | 20% | 3 May → | ||
| 8–13 | -0.04 | 12% | 19 Apr → | ||
| 8–13 | 0.01 | 26% | 19 Apr → | ||
| 7–13 | -0.03 | 20% | 13 Apr → | ||
| 13–7 | -0.03 | 17% | 13 Apr → | ||
| 2–12 | -0.08 | 21% | 13 Apr → | ||
| 15–15 | 0.01 | 14% | 13 Apr → | ||
| 13–5 | 0.04 | 24% | 13 Apr → | ||
| 3–13 | -0.08 | 11% | 13 Apr → | ||
| 13–9 | -0.05 | 17% | 10 Apr → | ||
| 9–13 | -0.02 | 21% | 10 Apr → | ||
| 13–8 | -0.04 | 30% | 10 Apr → | ||
| 13–3 | -0.01 | 19% | 6 Apr → | ||
| 7–13 | 0.01 | 18% | 4 Apr → | ||
| 2–13 | 0.02 | 29% | 3 Apr → | ||
| 2–9 | -0.05 | 11% | 16 Mar → | ||
| 13–11 | -0.03 | 13% | 16 Mar → | ||
| 13–10 | -0.06 | 26% | 23 Apr → | ||
| office | 10–13 | -0.01 | 6% | 23 Apr → | |
| 10–13 | -0.01 | 14% | 23 Apr → | ||
| 12–16 | -0.02 | 10% | 1 Mar → | ||
| 8–13 | -0.05 | 14% | 1 Mar → | ||
| 11–13 | 0.01 | 9% | 1 Mar → | ||
| 12–12 | -0.06 | 13% | 1 Dec → | ||
| 7–13 | -0.04 | 18% | 30 Nov → | ||
| 3–13 | -0.15 | 26% | 27 Sept → | ||
| office | 4–13 | -0.08 | 22% | 27 Sept → | |
| 0–13 | -0.06 | 13% | 27 Sept → | ||
| 13–9 | -0.01 | 17% | 27 Sept → | ||
| office | 6–13 | -0.01 | 10% | 27 Sept → | |
| 7–13 | -0.05 | 24% | 27 Sept → | ||
| 13–0 | 0.03 | 11% | 7 Sept → | ||
| 13–2 | 0.03 | 29% | 7 Sept → | ||
| 7–13 | -0.04 | 12% | 7 Sept → | ||
| 13–11 | 0.01 | 25% | 21 Aug → | ||
| 6–13 | -0.03 | 22% | 21 Aug → | ||
| 7–13 | -0.05 | 16% | 9 Apr → | ||
| 8–13 | 0.00 | 14% | 16 Feb → | ||
| office | 9–13 | -0.03 | 24% | 16 Feb → | |
| office | 13–11 | 0.05 | 16% | 16 Feb → | |
| 8–13 | -0.04 | 18% | 16 Feb → | ||
| office | 6–13 | -0.05 | 13% | 14 Feb → | |
| office | 13–11 | 0.02 | 9% | 14 Feb → | |
| 7–13 | -0.05 | 7% | 14 Feb → | ||
| 3–13 | -0.07 | 9% | 14 Feb → | ||
| office | 13–1 | 0.25 | 23% | 14 Feb → | |
| office | 10–13 | -0.04 | 9% | 13 Feb → | |
| 4–13 | -0.10 | 9% | 12 Feb → | ||
| office | 13–10 | 0.05 | 3% | 12 Feb → | |
| office | 13–6 | 0.01 | 21% | 11 Feb → | |
| 7–13 | -0.05 | 9% | 11 Feb → | ||
| 13–7 | 0.08 | 9% | 10 Feb → | ||
| 13–7 | -0.06 | 3% | 10 Feb → | ||
| office | 13–11 | 0.07 | 13% | 10 Feb → | |
| 13–11 | 0.02 | 16% | 9 Feb → | ||
| office | 13–7 | 0.04 | 19% | 9 Feb → | |
| office | 11–11 | -0.01 | 7% | 8 Feb → | |
| office | 11–12 | -0.00 | 14% | 7 Feb → | |
| 8–13 | -0.03 | 9% | 7 Feb → | ||
| 9–13 | -0.06 | 8% | 6 Feb → | ||
| 13–10 | -0.06 | 13% | 6 Feb → | ||
| 13–9 | 0.04 | 15% | 6 Feb → | ||
| 13–8 | -0.02 | 14% | 6 Feb → | ||
| 13–10 | -0.08 | 7% | 6 Feb → | ||
| 13–10 | 0.07 | 14% | 6 Feb → | ||
| office | 7–13 | -0.01 | 10% | 6 Feb → | |
| office | 13–6 | 0.02 | 30% | 5 Feb → | |
| 4–13 | -0.05 | 10% | 4 Feb → | ||
| office | 10–13 | -0.05 | 18% | 4 Feb → | |
| office | 9–2 | 0.03 | 17% | 4 Feb → | |
| office | 13–3 | 0.05 | 18% | 4 Feb → | |
| office | 12–12 | -0.04 | 21% | 3 Feb → | |
| office | 6–13 | -0.02 | 18% | 3 Feb → | |
| 1–13 | -0.07 | 21% | 2 Feb → | ||
| 5–13 | -0.01 | 10% | 2 Feb → | ||
| 5–13 | -0.01 | 18% | 2 Feb → | ||
| office | 13–9 | -0.03 | 10% | 2 Feb → | |
| 13–10 | -0.02 | 18% | 1 Feb → | ||
| office | 2–13 | -0.12 | 0% | 1 Feb → | |
| office | 13–9 | 0.04 | 19% | 1 Feb → | |
| 10–13 | -0.04 | 11% | 1 Feb → | ||
| 12–16 | 0.02 | 12% | 1 Feb → | ||
| 8–13 | -0.04 | 13% | 31 Jan → | ||
| 9–13 | -0.02 | 18% | 31 Jan → | ||
| 13–8 | 0.00 | 15% | 31 Jan → |
Match data via Leetify.