LP

LP — CS2 Stats

FI76561198202141315[U:1:241875587]Steam profile ↗✓ No bans

116Tracked matches57%Win rate2022Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating14,798Blue band · top ~29.5% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Jun 2025 (502 days ago). 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: 14,798 +4,798 18 Dec – 21 Jun · 25 days played
7,54314,999peak 14,99918 Dec21 Jun
14,999Peak Premier in tracked matches
69Days played since 2022-08-19

Premier CS Rating

  • 201 below peak (14,999)
  • +1,013 over 30 days · improving
  • Next: Purple band at 15,000 — 202 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim77
Positioning41
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLLWLLLWWW

Last 10 vs previous 10: 0pp win rate · −0.08 avg rating · +0.2pp headshot accuracy · +56ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 694ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 648ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 620ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.7
Utility6.5
Positioning4.1
Opening Duels4.8

Limited utility dependence

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim7.7
Positioning4.1
Utility6.5
Mechanics7.9
Opening Duels3.8
Win Impact7.2

Composite 6.1/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time622ms−1ms
first ⅓ avg 624ms → last ⅓ avg 622ms
Headshot accuracy21.4%+7.6%
first ⅓ avg 13.8% → last ⅓ avg 21.4%

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

0.17Best match rating · 13–7 · dust2, 28 Apr →
41%Best headshot accuracy · 6–13 · grail, 8 May →
414msFastest reaction time · 13–5 · inferno, 4 May →
13–1Biggest win · inferno, 5 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
10–6In matches decided by ≤2 rounds
23Overtime games

Map breakdown

nukeBest map · 67% over 15dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.01
nukeS1510–567%0.01
mirageA149–564%0.02
dust2C104–640%0.02
ancientB84–450%0.05
anubisA74–357%0.04
trainA53–260%0.06
overpass—31–233%-0.03
vertigo—32–167%0.00
jura—21–150%0.08
grail—20–20%0.02
dogtown—10–10%-0.02
brewery—11–0100%0.07
edin—10–10%-0.07
tuscan—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
20%Win rate
0.98Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

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.

20.3%Headshot accuracy
35.8%Accuracy (enemy spotted)
33.6%Spray accuracy
85.7%Counter-strafing
8.4°Preaim
619msReaction time
35.2%T opening success
55.4%CT opening success
0.50Enemies flashed / flash
3.4%Flash assists
13.56HE damage / grenade
3.81Flashes / 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. 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 0.497 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 35.1515% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0629%20 Sept →
dogtown2–9-0.0230%12 Sept →
overpass3–9-0.0624%12 Sept →
brewery9–70.0732%12 Sept →
vertigo3–9-0.0526%12 Sept →
dust211–13-0.0420%21 Jun →
anubis6–13-0.035%21 Jun →
train16–140.0122%19 Jun →
ancient13–9-0.0317%19 Jun →
nuke13–9-0.0624%18 Jun →
jura13–40.0931%7 Jun →
inferno13–100.0317%5 Jun →
jura7–130.0717%5 Jun →
train4–130.0319%25 May →
train13–70.1519%22 May →
inferno13–20.0824%22 May →
train10–130.0520%13 May →
inferno12–160.0119%10 May →
grail10–130.0420%9 May →
grail6–13-0.0041%8 May →
dust214–16-0.0413%28 Apr →
nuke13–110.0215%28 Apr →
mirage13–110.0219%23 Apr →
dust24–13-0.0724%23 Apr →
ancient13–50.1024%14 Apr →
mirage13–110.1116%13 Apr →
anubis5–130.0633%13 Apr →
dust213–30.1216%12 Apr →
nuke13–7-0.0011%12 Apr →
anubis13–30.0318%12 Apr →
anubis16–120.0930%12 Apr →
inferno13–80.0818%11 Apr →
dust213–40.0615%10 Apr →
dust29–13-0.0120%8 Apr →
overpass13–9-0.0110%7 Mar →
nuke13–90.0724%7 Mar →
mirage9–130.0524%7 Mar →
inferno13–90.0229%7 Mar →
ancient9–130.0426%7 Mar →
nuke13–110.1018%20 Feb →
inferno7–13-0.0022%20 Feb →
mirage13–110.0415%20 Feb →
mirage13–50.0522%19 Feb →
ancient7–130.0419%19 Feb →
mirage3–90.0435%17 Feb →
dust29–130.0235%17 Feb →
mirage13–11-0.0619%30 Jan →
inferno16–130.0722%18 Jan →
mirage13–60.0012%30 Dec →
nuke13–60.0720%30 Dec →
inferno13–10.0216%5 Dec →
inferno10–13-0.0231%19 Nov →
inferno4–13-0.0518%18 Nov →
train12–40.0419%16 Nov →
edin4–13-0.0711%14 Nov →
inferno13–50.0622%4 May →
ancient13–50.1224%29 Apr →
dust213–70.1716%28 Apr →
inferno1–13-0.0718%5 Mar →
inferno13–70.0825%24 Feb →
ancient11–130.0616%22 Feb →
nuke10–13-0.0310%28 Jan →
mirage7–130.0720%6 Jan →
nuke13–9-0.0114%30 Dec →
inferno4–13-0.0211%30 Dec →
inferno3–13-0.047%18 Dec →
ancient9–130.0620%14 Nov →
anubis11–130.029%27 Sept →
inferno13–80.0916%27 Sept →
mirage13–80.0321%25 Sept →
nuke6–13-0.0920%24 Sept →
nuke8–130.1021%24 Sept →
mirage13–50.0322%22 Sept →
inferno13–100.0023%19 Sept →
mirage13–60.0214%19 Sept →
ancient13–8-0.0011%11 May →
anubis16–70.124%7 Apr →
inferno16–11-0.0222%19 Mar →
inferno16–100.0119%23 Jan →
nuke16–11-0.019%21 Jan →
inferno11–16-0.0421%15 Jan →
inferno16–140.0217%14 Jan →
vertigo16–90.059%8 Jan →
anubis16–40.0012%8 Jan →
nuke16–9-0.0122%8 Jan →
nuke16–70.015%7 Jan →
vertigo16–130.018%29 Dec →
dust29–60.0118%18 Dec →
overpass7–9-0.0210%12 Dec →
inferno7–9-0.106%30 Nov →
nuke8–16-0.0411%29 Nov →
inferno3–9-0.005%26 Nov →
mirage5–9-0.0714%26 Nov →
inferno8–80.0613%22 Nov →
inferno16–120.0421%21 Nov →
inferno16–14-0.108%18 Nov →
dust211–160.0220%17 Nov →
tuscan16–80.0911%17 Nov →
inferno15–150.1216%17 Nov →
nuke15–15-0.030%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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