♿Lauriii

♿Lauriii — CS2 Stats

76561198272256056[U:1:311990328]Steam profile ↗✓ No bans

1,538Tracked matches50%Win rate2021Tracked since
2,094Hours in CS4Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,538
−13.3ppWin rate · 63.3% → 50.0%

Rating over time

Premier CS Rating: 14,697 +3,304 7 Feb – 15 Jun · 34 days played
10,00014,697peak 14,6977 Feb15 Jun
14,697Peak Premier in tracked matches
39Days played since 2026-02-07

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.3%43.8%44.8%2.5% short
Shot accuracy11.8%12.0%12.4%0.7% short
Kill/death ratio0.911.021.030.13 short
Match win rate44.2%44.7%45.2%1.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♿LauriiiFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLLLLWWWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.0pp headshot accuracy · −51ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

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 (+1.6 against its own average).

Aim5.4
Utility5.6
Positioning5.2
Opening Duels3.5
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

m0NESY

Plays most like m0NESY 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 607ms 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

Aim5.4
Positioning5.2
Utility5.6
Mechanics5.6
Opening Duels2.0
Win Impact5.0

Composite 5.0/10 (Developing), 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

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time613ms−5ms
first ⅓ avg 618ms → last ⅓ avg 613ms
Headshot accuracy14.2%−1.7%
first ⅓ avg 15.9% → last ⅓ avg 14.2%

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

0.12Best match rating · 13–2 · dust2, 26 Apr →
33%Best headshot accuracy · 6–13 · mirage, 1 Mar →
430msFastest reaction time · 11–13 · inferno, 27 Oct →
13–2Biggest win · inferno, 25 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L5Current streak
5–13In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 74% over 19ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2913–1645%-0.01
infernoB2814–1450%0.00
nukeS1914–574%-0.01
ancientD93–633%-0.00
dust2C73–443%0.02
anubis—31–233%-0.03
cache—20–20%-0.10
overpass—22–0100%0.00
poseidon—11–0100%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,711Lifetime kills
0.91K/D
2,515Matches
44.2%Match win rate
42.3%Headshot %
11.8%Shot accuracy
5,689MVPs
1,187Hours (in match)
2,096Bombs planted
579Bombs defused

Most-used weapons

AK-4712,602
AWP6,191
FAMAS1,481
P2501,243
MP91,147

Lifetime map wins

8,486inferno
3,412nuke
1,681dust2
674train
526vertigo
111cbble
42safehouse
39office

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

Faceit stats

Combat

21Matches
33%Win rate
0.84Avg K/D
71.5ADR
53%Headshot %

Clutches & streaks

29%1v1 clutch win
16%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%1.0919.6
Inferno425%0.6413.5
Overpass333%0.8511.0
Mirage20%0.8514.0
Ancient20%0.5611.5
Train10%0.4612.0
Nuke1100%1.0814.0

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.

14.0%Headshot accuracy
35.0%Accuracy (enemy spotted)
34.6%Spray accuracy
75.0%Counter-strafing
10.9°Preaim
607msReaction time
32.5%T opening success
43.4%CT opening success
0.60Enemies flashed / flash
6.1%Flash assists
11.51HE 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0313% — below the 15% mark we flag

    Aim Training →
  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 32.5217% — below the 40% mark we flag

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0419%4 Nov →
mirage11–13-0.0012%27 Oct →
inferno11–130.0623%27 Oct →
cache4–13-0.143%24 Oct →
dust211–13-0.0511%24 Oct →
mirage13–90.0414%22 Oct →
inferno13–6-0.0213%14 Aug →
dust213–100.0212%15 Jun →
ancient6–130.0126%15 Jun →
mirage13–70.0110%6 Jun →
inferno13–2-0.0117%25 May →
nuke13–20.088%25 May →
inferno13–6-0.0613%2 May →
nuke13–9-0.0215%2 May →
mirage9–130.0211%2 May →
ancient6–13-0.0411%2 May →
nuke10–13-0.0615%2 May →
inferno13–9-0.006%1 May →
nuke13–6-0.0623%1 May →
nuke11–13-0.0315%1 May →
mirage6–13-0.0215%1 May →
nuke13–10-0.0318%29 Apr →
cache10–13-0.0625%29 Apr →
inferno13–7-0.077%26 Apr →
dust213–20.1227%26 Apr →
inferno13–10-0.006%26 Apr →
inferno6–13-0.0511%25 Apr →
inferno7–130.0311%25 Apr →
ancient8–130.008%25 Apr →
mirage13–7-0.0819%24 Apr →
mirage6–13-0.0518%18 Apr →
nuke13–70.0611%18 Apr →
mirage13–40.0717%15 Apr →
anubis13–10-0.0312%11 Apr →
nuke13–60.0415%8 Apr →
mirage13–10-0.0217%8 Apr →
overpass13–50.0111%6 Apr →
inferno13–90.0212%5 Apr →
dust210–13-0.0524%5 Apr →
inferno7–13-0.0319%5 Apr →
nuke15–15-0.0422%5 Apr →
inferno8–13-0.0418%5 Apr →
inferno13–11-0.0619%3 Apr →
inferno4–130.0523%30 Mar →
nuke13–30.0531%27 Mar →
inferno11–13-0.008%27 Mar →
mirage13–3-0.0314%21 Mar →
inferno8–13-0.0415%21 Mar →
inferno13–80.0724%14 Mar →
mirage6–13-0.013%14 Mar →
mirage10–130.0012%14 Mar →
nuke13–9-0.0513%8 Mar →
overpass13–5-0.0029%8 Mar →
ancient5–13-0.0213%8 Mar →
mirage11–13-0.027%8 Mar →
poseidon9–50.1117%8 Mar →
mirage8–13-0.0619%7 Mar →
anubis7–13-0.0611%7 Mar →
inferno11–13-0.0122%7 Mar →
mirage2–13-0.0129%6 Mar →
inferno15–150.0115%6 Mar →
dust25–130.0320%6 Mar →
anubis11–13-0.0119%1 Mar →
mirage6–130.0133%1 Mar →
mirage13–8-0.017%1 Mar →
nuke13–5-0.059%28 Feb →
mirage13–7-0.0118%28 Feb →
inferno13–70.0412%28 Feb →
nuke13–40.0516%28 Feb →
mirage13–110.019%28 Feb →
inferno13–70.0517%28 Feb →
inferno13–11-0.0225%22 Feb →
inferno6–13-0.0616%22 Feb →
nuke13–50.018%22 Feb →
mirage13–40.0424%22 Feb →
inferno11–130.0620%17 Feb →
mirage13–11-0.0025%15 Feb →
nuke13–6-0.0227%14 Feb →
inferno13–100.0514%14 Feb →
nuke13–11-0.0614%13 Feb →
ancient13–10-0.0218%13 Feb →
inferno8–130.029%13 Feb →
ancient11–13-0.0223%12 Feb →
mirage13–40.0521%12 Feb →
ancient13–9-0.0019%12 Feb →
dust213–50.0511%12 Feb →
mirage10–13-0.036%11 Feb →
mirage13–80.0123%11 Feb →
ancient15–150.0616%11 Feb →
mirage0–13-0.0920%11 Feb →
nuke9–13-0.0314%11 Feb →
nuke6–13-0.057%11 Feb →
inferno11–130.0315%8 Feb →
mirage11–13-0.0615%8 Feb →
nuke13–70.0417%8 Feb →
ancient13–60.0211%8 Feb →
mirage9–13-0.0113%7 Feb →
mirage9–13-0.0216%7 Feb →
inferno13–100.0010%7 Feb →
mirage11–130.0216%7 Feb →

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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