Larree

Larree — CS2 Stats

SE76561198028335229[U:1:68069501]Steam profile ↗✓ No bans

1,564Tracked matches53%Win rate2020Tracked since
8,765Hours in CS34Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,545 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,545 → 2,545
+113Tracked matches · now 1,564
−13.3ppWin rate · 66.7% → 53.3%

Rating over time

Premier CS Rating: 22,372 +370 31 May – 2 Jun · 2 days played
22,00222,372peak 22,37231 May2 Jun
22,372Peak Premier in tracked matches
2,545Highest Faceit ELO seen on CSDB
69Days played since 2026-02-05

Faceit ELO

  • At peak — 2,545
  • Next: 3,000 ELO at 3,000 — 455 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-10
  • Level 10 first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate46.2%50.9%
Shot accuracy15.4%13.7%
Kill/death ratio1.171.09
Match win rate50.5%48.4%

Share this profile

CSDB.GGLarreeFACEITLevel 10 · 2,545 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,545csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning59
Utility54

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLLLLLWWW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · −3.1pp headshot accuracy · −55ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 556ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 498ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

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 (+1.3 against its own average).

Aim8.2
Utility5.4
Positioning5.9
Opening Duels3.5
Clutch3.6

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

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.2
Positioning5.9
Utility5.4
Mechanics4.2
Opening Duels3.6
Win Impact6.1

Composite 6.2/10 (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

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time536ms−35ms
first ⅓ avg 571ms → last ⅓ avg 536ms
Headshot accuracy22.9%−2.1%
first ⅓ avg 25.0% → last ⅓ avg 22.9%

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

0.24Best match rating · 13–6 · cache, 13 May →
57%Best headshot accuracy · 0–13 · dust2, 28 Feb →
359msFastest reaction time · 4–13 · anubis, 5 Oct →
13–0Biggest win · vertigo, 3 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L7Current streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 71% over 7anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2413–1154%0.03
dust2C238–1535%0.01
mirageA1911–858%0.03
anubisD82–625%0.01
cacheS75–271%0.06
nukeA74–357%0.02
ancientB63–350%0.02
overpass—41–325%0.03
vertigo—22–0100%0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

244,027Lifetime kills
1.17K/D · Top 50% of Level 10 players
9,356Matches
50.5%Match win rate · Top 50% of Level 10 players
46.2%Headshot %
15.4%Shot accuracy · Top 50% of Level 10 players
29,494MVPs
4,991Hours (in match)
8,679Bombs planted
3,129Bombs defused

Most-used weapons

AK-4791,615
AWP41,776
P2505,730
Knife4,450
FAMAS4,274

Lifetime map wins

27,069dust2
23,494inferno
6,799nuke
3,254train
2,555cbble
1,410vertigo
68lake
59office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,933Matches
52%Win rate
1.28Avg K/D
81.8ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
18Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage22851%1.2717.3
Dust218752%1.3517.2
Inferno17950%1.4318.4
Nuke11255%1.2917.4
Anubis10050%1.1716.7
Ancient6740%1.1116.4
Cache6052%1.4518.1
Overpass5758%1.5218.5

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.

22.9%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.9%Spray accuracy
68.8%Counter-strafing
8.2°Preaim
532msReaction time
37.4%T opening success
51.2%CT opening success
0.51Enemies flashed / flash
8.2%Flash assists
8.40HE damage / grenade
7.90Flashes / 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. 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 37.37% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0020%1 Nov →
anubis15–190.0322%25 Oct →
cache11–13-0.0024%25 Oct →
dust27–130.0021%15 Oct →
ancient4–13-0.0323%7 Oct →
anubis4–130.0116%5 Oct →
mirage11–130.0223%3 Oct →
cache13–90.0218%2 Oct →
inferno12–10.1016%7 Sept →
inferno13–90.0923%7 Sept →
mirage13–80.0428%23 Aug →
anubis7–13-0.0125%14 Aug →
inferno5–13-0.0428%10 Aug →
mirage13–80.0520%6 Aug →
mirage13–10.0313%30 Jul →
inferno8–10.0310%27 Jul →
nuke13–50.0943%20 Jul →
cache13–40.0429%20 Jul →
dust28–13-0.0520%20 Jul →
inferno13–110.0621%19 Jul →
dust213–100.1724%18 Jul →
inferno13–70.0132%18 Jul →
mirage13–5-0.0418%15 Jul →
dust28–130.0336%5 Jul →
inferno11–130.0318%3 Jul →
cache13–60.0621%3 Jul →
anubis8–13-0.0219%2 Jul →
dust213–110.0116%1 Jul →
inferno13–90.0327%30 Jun →
inferno7–13-0.0921%25 Jun →
dust216–13-0.0330%20 Jun →
nuke13–8-0.0421%16 Jun →
mirage10–13-0.0229%14 Jun →
dust211–13-0.0232%12 Jun →
mirage8–130.0620%6 Jun →
anubis13–10-0.0122%6 Jun →
vertigo13–50.1121%3 Jun →
vertigo13–00.1122%3 Jun →
nuke13–100.0213%2 Jun →
dust29–13-0.0123%31 May →
mirage15–15-0.0128%31 May →
dust213–60.1329%31 May →
inferno13–20.1426%31 May →
mirage13–60.1126%31 May →
dust25–13-0.130%30 May →
inferno13–100.0623%29 May →
inferno9–130.0020%27 May →
mirage13–00.1836%27 May →
dust213–11-0.0124%27 May →
mirage13–7-0.0225%24 May →
mirage13–100.0729%23 May →
anubis7–130.0731%22 May →
overpass13–60.0631%14 May →
inferno16–140.0528%14 May →
cache8–130.0641%13 May →
cache13–60.2442%13 May →
ancient8–130.0314%9 May →
ancient13–30.1823%9 May →
cache13–80.0323%9 May →
dust25–13-0.0139%9 May →
dust211–130.0529%2 May →
inferno13–100.0525%20 Apr →
mirage13–90.0330%11 Apr →
mirage6–130.0525%9 Apr →
inferno5–9-0.0519%9 Apr →
inferno11–130.0622%6 Apr →
mirage8–130.0131%5 Apr →
dust213–4-0.0020%5 Apr →
nuke7–13-0.0427%3 Apr →
dust212–160.0835%3 Apr →
dust28–13-0.0227%3 Apr →
mirage13–110.0124%2 Apr →
overpass8–130.0321%2 Apr →
inferno10–13-0.0124%1 Apr →
nuke4–13-0.0248%14 Mar →
mirage13–10-0.0220%8 Mar →
inferno13–20.1721%4 Mar →
overpass4–13-0.018%4 Mar →
inferno13–60.0741%3 Mar →
dust20–13-0.0657%28 Feb →
mirage14–160.0415%27 Feb →
inferno13–160.0314%27 Feb →
ancient6–13-0.0527%25 Feb →
anubis5–130.0221%24 Feb →
dust210–13-0.0112%24 Feb →
dust28–130.0114%23 Feb →
mirage3–13-0.0522%23 Feb →
inferno13–80.0427%22 Feb →
nuke9–13-0.0417%22 Feb →
dust213–50.0221%21 Feb →
dust219–160.0531%20 Feb →
dust28–130.0330%15 Feb →
anubis13–60.0222%15 Feb →
dust22–13-0.0717%14 Feb →
overpass14–160.0221%11 Feb →
ancient13–7-0.0219%9 Feb →
inferno6–13-0.0224%7 Feb →
nuke13–60.1446%6 Feb →
inferno19–22-0.0221%5 Feb →
ancient13–11-0.0133%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.