LaPerla ♡

LaPerla ♡ — CS2 Stats

76561199523428253[U:1:1563162525]Steam profile ↗✓ No bans

3,012Tracked matches50%Win rate2024Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating10,521Blue band · top ~52.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,521 -3,252 22 Sept – 5 Nov · 11 days played
10,19613,773peak 13,77322 Sept5 Nov
13,773Peak Premier in tracked matches
606Highest Faceit ELO seen on CSDB
24Days played since 2026-07-07

Premier CS Rating

  • 3,252 below peak (13,773)
  • Next: Purple band at 15,000 — 4,479 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGLaPerla ♡FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,521 · Blue bandPEAK ELO606csdb.gg/stats

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Performance scores

Aim55
Positioning48
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWWLLWWLLW

Last 10 vs previous 10: +40pp win rate · −0.00 avg rating · +5.3pp headshot accuracy · −10ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 695ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 715ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 720ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim5.5
Utility3.6
Positioning4.8
Opening Duels2.1
Clutch1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 710ms 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

Aim5.5
Positioning4.8
Utility3.6
Mechanics8.4
Opening Duels3.0
Win Impact5.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time722ms+26ms
first ⅓ avg 696ms → last ⅓ avg 722ms
Headshot accuracy22.1%−2.1%
first ⅓ avg 24.2% → last ⅓ avg 22.1%

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.

Personal bests

0.14Best match rating · 13–5 · anubis, 3 Nov →
53%Best headshot accuracy · 13–5 · vertigo, 15 Oct →
469msFastest reaction time · 0–13 · ancient, 16 Oct →
13–1Biggest win · cache, 1 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
5–10In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC167–944%-0.01
cacheB147–750%-0.03
infernoD124–833%-0.03
vertigoC104–640%-0.00
mirageA106–460%-0.02
officeC104–640%-0.01
anubisD93–633%-0.02
dust2B63–350%-0.03
ancientS64–267%-0.02
overpass—21–150%-0.01
shelter—22–0100%-0.05
train—22–0100%-0.03
rush_001—10–10%-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

178Matches
48%Win rate
0.80Avg K/D
64.5ADR
49%Headshot %

Clutches & streaks

29%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5240%0.8513.9
Ancient3850%0.8012.7
Anubis3355%0.8613.1
Dust22854%0.7512.8
Inferno1553%0.6911.9
Nuke838%0.7610.8
Cache250%0.487.5
Train1100%0.6710.0

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.

21.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.8%Spray accuracy
87.6%Counter-strafing
11.8°Preaim
710msReaction time
46.7%T opening success
37.0%CT opening success
0.49Enemies flashed / flash
7.5%Flash assists
3.21HE damage / grenade
6.47Flashes / match

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.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.395ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4868 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.9804% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–80.0436%5 Nov →
inferno13–20.0220%5 Nov →
inferno13–20.0131%5 Nov →
nuke6–13-0.0316%5 Nov →
dust210–13-0.0525%4 Nov →
nuke13–30.1241%4 Nov →
mirage13–110.0325%4 Nov →
mirage6–13-0.0626%4 Nov →
nuke9–13-0.0510%4 Nov →
nuke13–5-0.0620%4 Nov →
nuke4–13-0.0232%4 Nov →
anubis13–50.1422%3 Nov →
overpass12–12-0.0524%3 Nov →
vertigo12–120.0218%3 Nov →
mirage11–13-0.0526%2 Nov →
anubis4–13-0.0610%2 Nov →
cache8–13-0.0317%2 Nov →
vertigo7–130.0415%2 Nov →
nuke9–130.0215%2 Nov →
mirage13–5-0.0018%2 Nov →
vertigo12–120.0329%1 Nov →
nuke13–6-0.0018%1 Nov →
anubis12–120.0216%1 Nov →
cache13–10.0232%1 Nov →
ancient13–9-0.0724%1 Nov →
dust210–13-0.0516%31 Oct →
nuke9–13-0.0713%31 Oct →
cache13–5-0.1019%31 Oct →
anubis11–13-0.0523%31 Oct →
vertigo13–6-0.0422%30 Oct →
ancient13–100.0114%30 Oct →
inferno10–13-0.0321%30 Oct →
mirage10–13-0.0134%29 Oct →
shelter13–7-0.0718%29 Oct →
ancient13–7-0.0219%29 Oct →
dust213–9-0.0316%29 Oct →
vertigo10–13-0.0125%29 Oct →
inferno13–60.0221%29 Oct →
train13–10-0.0418%29 Oct →
mirage13–7-0.036%29 Oct →
anubis4–13-0.0730%28 Oct →
office11–13-0.0317%28 Oct →
office8–13-0.0039%28 Oct →
vertigo13–10-0.0321%27 Oct →
anubis13–100.0218%27 Oct →
nuke11–13-0.0433%27 Oct →
cache13–11-0.0724%27 Oct →
cache13–10-0.0432%26 Oct →
vertigo2–13-0.0418%26 Oct →
ancient2–00.0325%26 Oct →
anubis8–13-0.0616%26 Oct →
nuke8–13-0.0523%26 Oct →
cache5–130.0440%26 Oct →
office13–3-0.0131%25 Oct →
ancient2–130.0033%25 Oct →
nuke13–11-0.0417%25 Oct →
dust22–13-0.0827%22 Oct →
cache11–13-0.0020%22 Oct →
cache5–13-0.0611%21 Oct →
nuke13–110.0028%21 Oct →
cache13–8-0.0214%21 Oct →
cache11–13-0.0923%20 Oct →
anubis13–8-0.0114%20 Oct →
office4–13-0.0619%20 Oct →
cache3–130.0418%20 Oct →
overpass13–80.0325%18 Oct →
mirage13–6-0.0729%18 Oct →
inferno4–13-0.075%18 Oct →
nuke13–9-0.0039%18 Oct →
office8–130.0026%17 Oct →
office13–70.0028%17 Oct →
shelter13–2-0.0245%17 Oct →
dust213–60.0128%17 Oct →
inferno4–130.0334%16 Oct →
nuke9–13-0.0229%16 Oct →
ancient0–13-0.119%16 Oct →
inferno9–13-0.0829%16 Oct →
inferno13–90.0627%16 Oct →
vertigo13–5-0.0553%15 Oct →
rush_0016–8-0.1410%14 Oct →
inferno5–13-0.0829%14 Oct →
mirage13–10-0.0723%14 Oct →
vertigo7–130.0222%14 Oct →
anubis5–13-0.0835%14 Oct →
office13–100.0420%11 Oct →
dust213–90.0120%10 Oct →
cache13–40.0015%10 Oct →
office11–13-0.0120%10 Oct →
nuke4–90.0421%10 Oct →
inferno0–9-0.178%10 Oct →
office8–13-0.0123%9 Oct →
train13–6-0.0234%9 Oct →
mirage6–130.0025%9 Oct →
nuke13–6-0.0322%9 Oct →
office13–80.0114%8 Oct →
cache11–13-0.0231%8 Oct →
inferno11–13-0.0818%8 Oct →
mirage13–90.0226%8 Oct →
cache13–4-0.065%8 Oct →
inferno12–12-0.0222%8 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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