✪ LaPerle — CS2 Stats
76561198047897470[U:1:87631742]
Rating over time
Premier CS Rating
- At peak — 22,616
- Next: Red band at 25,000 — 2,384 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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.
Effective flashes
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 Twistzz 90% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 585ms 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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 mirage | S | 20 | 15–5 | 75% | 0.01 |
 cache | B | 17 | 8–9 | 47% | 0.02 |
 dust2 | B | 17 | 9–8 | 53% | 0.01 |
 inferno | A | 15 | 9–6 | 60% | 0.01 |
 anubis | C | 8 | 3–5 | 38% | 0.03 |
 ancient | S | 8 | 6–2 | 75% | 0.04 |
 nuke | S | 6 | 6–0 | 100% | 0.04 |
 overpass | A | 5 | 3–2 | 60% | -0.01 |
 vertigo | — | 3 | 3–0 | 100% | 0.02 |
| office | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 15 | 73% | 1.33 | 17.3 |
| Ancient | 9 | 56% | 1.17 | 15.9 |
| Anubis | 6 | 50% | 1.16 | 16.3 |
| Vertigo | 6 | 50% | 1.04 | 18.5 |
| Nuke | 4 | 50% | 1.31 | 15.0 |
| Overpass | 4 | 50% | 1.33 | 16.0 |
| Inferno | 3 | 67% | 1.21 | 21.7 |
| Dust2 | 1 | 100% | 1.00 | 28.0 |
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.
- 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 33.2745% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 3–13 | -0.04 | 14% | 28 Aug → | |
| cache | 13–7 | -0.01 | 12% | 28 Aug → | |
| inferno | 13–11 | 0.08 | 28% | 27 Aug → | |
| mirage | 13–8 | 0.02 | 23% | 27 Aug → | |
| cache | 3–13 | -0.08 | 32% | 26 Aug → | |
| anubis | 5–13 | 0.06 | 22% | 26 Aug → | |
| inferno | 13–8 | 0.04 | 17% | 26 Aug → | |
| cache | 12–12 | -0.01 | 23% | 26 Aug → | |
| mirage | 13–11 | 0.11 | 16% | 22 Aug → | |
| mirage | 6–13 | -0.06 | 15% | 22 Aug → | |
| ancient | 5–13 | 0.05 | 15% | 20 Aug → | |
| dust2 | 6–13 | -0.04 | 11% | 19 Aug → | |
| mirage | 13–10 | 0.01 | 14% | 18 Aug → | |
| dust2 | 2–0 | 0.05 | 50% | 18 Aug → | |
| cache | 1–13 | 0.03 | 14% | 18 Aug → | |
| ancient | 13–7 | 0.03 | 20% | 18 Aug → | |
| dust2 | 12–12 | -0.06 | 21% | 4 Aug → | |
| cache | 11–13 | 0.03 | 15% | 4 Aug → | |
| inferno | 13–4 | 0.01 | 8% | 4 Aug → | |
| mirage | 3–13 | -0.05 | 13% | 3 Aug → | |
| office | 9–13 | -0.06 | 29% | 11 Jul → | |
| nuke | 7–4 | 0.08 | 40% | 11 Jul → | |
| mirage | 13–8 | 0.07 | 15% | 6 Jul → | |
| ancient | 13–3 | 0.08 | 13% | 3 Jul → | |
| cache | 13–5 | 0.04 | 30% | 3 Jul → | |
| cache | 5–13 | 0.03 | 29% | 3 Jul → | |
| anubis | 7–13 | 0.04 | 20% | 30 Jun → | |
| cache | 13–10 | 0.09 | 19% | 30 Jun → | |
| inferno | 13–11 | 0.10 | 18% | 29 Jun → | |
| anubis | 4–13 | -0.06 | 16% | 29 Jun → | |
| dust2 | 8–13 | 0.06 | 12% | 29 Jun → | |
| inferno | 9–13 | -0.05 | 13% | 21 Jun → | |
| inferno | 7–13 | -0.06 | 10% | 14 Jun → | |
| inferno | 3–13 | -0.04 | 20% | 7 Jun → | |
| ancient | 13–6 | 0.06 | 13% | 7 Jun → | |
| cache | 13–3 | 0.06 | 8% | 7 Jun → | |
| dust2 | 7–5 | 0.03 | 9% | 7 Jun → | |
| nuke | 13–2 | 0.06 | 38% | 7 Jun → | |
| ancient | 13–8 | -0.04 | 14% | 7 Jun → | |
| cache | 9–13 | -0.02 | 18% | 6 Jun → | |
| mirage | 2–13 | -0.04 | 16% | 6 Jun → | |
| cache | 5–13 | -0.04 | 10% | 6 Jun → | |
| mirage | 13–6 | -0.01 | 11% | 31 May → | |
| dust2 | 13–11 | -0.03 | 16% | 31 May → | |
| inferno | 13–10 | 0.02 | 27% | 31 May → | |
| dust2 | 13–9 | 0.05 | 22% | 18 May → | |
| anubis | 13–11 | 0.02 | 23% | 18 May → | |
| cache | 13–11 | 0.03 | 20% | 18 May → | |
| mirage | 13–10 | 0.01 | 16% | 17 May → | |
| mirage | 13–3 | 0.12 | 12% | 6 May → | |
| mirage | 13–7 | -0.02 | 4% | 6 May → | |
| dust2 | 13–9 | 0.06 | 19% | 5 May → | |
| cache | 13–9 | 0.05 | 12% | 5 May → | |
| dust2 | 13–7 | 0.06 | 26% | 5 May → | |
| cache | 13–11 | 0.05 | 17% | 5 May → | |
| cache | 11–13 | 0.01 | 26% | 4 May → | |
| overpass | 13–6 | 0.07 | 22% | 4 May → | |
| cache | 9–13 | 0.00 | 30% | 3 May → | |
| cache | 7–4 | -0.01 | 11% | 3 May → | |
| dust2 | 11–13 | 0.01 | 9% | 24 Apr → | |
| mirage | 5–13 | -0.02 | 22% | 24 Apr → | |
| dust2 | 3–13 | -0.04 | 38% | 22 Apr → | |
| inferno | 0–7 | -0.03 | 38% | 22 Apr → | |
| inferno | 13–9 | 0.02 | 30% | 21 Apr → | |
| mirage | 13–7 | 0.09 | 26% | 21 Apr → | |
| overpass | 8–13 | -0.05 | 24% | 21 Apr → | |
| inferno | 13–5 | 0.07 | 15% | 21 Apr → | |
| mirage | 11–13 | 0.04 | 14% | 21 Apr → | |
| inferno | 11–13 | -0.01 | 12% | 20 Apr → | |
| mirage | 13–8 | 0.07 | 12% | 20 Apr → | |
| mirage | 13–8 | -0.06 | 15% | 16 Apr → | |
| vertigo | 13–10 | -0.03 | 21% | 12 Apr → | |
| inferno | 11–6 | 0.01 | 23% | 12 Apr → | |
| overpass | 13–6 | -0.00 | 13% | 12 Apr → | |
| dust2 | 13–11 | -0.01 | 16% | 11 Apr → | |
| nuke | 13–10 | 0.03 | 16% | 11 Apr → | |
| dust2 | 13–8 | 0.05 | 14% | 11 Apr → | |
| ancient | 6–2 | 0.01 | 17% | 11 Apr → | |
| mirage | 13–10 | 0.01 | 15% | 10 Apr → | |
| anubis | 13–7 | 0.06 | 13% | 9 Apr → | |
| mirage | 13–7 | 0.00 | 8% | 9 Apr → | |
| vertigo | 13–3 | 0.00 | 20% | 9 Apr → | |
| vertigo | 13–2 | 0.07 | 13% | 8 Apr → | |
| dust2 | 13–8 | -0.03 | 17% | 7 Apr → | |
| nuke | 13–11 | -0.04 | 13% | 7 Apr → | |
| nuke | 13–7 | 0.03 | 20% | 7 Apr → | |
| dust2 | 4–13 | -0.03 | 17% | 7 Apr → | |
| overpass | 5–13 | -0.03 | 15% | 7 Apr → | |
| mirage | 16–14 | -0.02 | 8% | 7 Apr → | |
| ancient | 6–13 | 0.05 | 19% | 7 Apr → | |
| dust2 | 12–12 | 0.01 | 16% | 6 Apr → | |
| ancient | 13–10 | 0.05 | 14% | 6 Apr → | |
| anubis | 10–13 | 0.09 | 20% | 6 Apr → | |
| anubis | 13–5 | 0.09 | 21% | 6 Apr → | |
| mirage | 13–5 | -0.01 | 15% | 6 Apr → | |
| inferno | 10–13 | -0.05 | 15% | 6 Apr → | |
| nuke | 13–3 | 0.09 | 17% | 6 Apr → | |
| dust2 | 12–12 | 0.07 | 13% | 6 Apr → | |
| overpass | 13–7 | -0.03 | 11% | 6 Apr → | |
| inferno | 13–6 | 0.06 | 13% | 27 Mar → |
Match data via Leetify.