LAURI_TARTUST

LAURI_TARTUST — CS2 Stats

EE76561198015529685[U:1:55263957]Steam profile ↗✓ No bans

492Tracked matches52%Win rate2021Tracked since
2,069Hours in CS
CSDB Rating4.9 DevelopingOpening Duellist
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 492 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,153 +3,698 25 Feb – 3 Jul · 19 days played
9,31814,177peak 14,17725 Feb3 Jul
14,277Peak Premier in tracked matches
31Days played since 2026-02-09

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

Performance scores

Aim55
Positioning51
Utility33

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateLLLLTLLLWW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −3.1pp headshot accuracy · +66ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 706ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 681ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 647ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim5.5
Utility3.3
Positioning5.1
Opening Duels5.6
Clutch0.0

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

s1mple

Plays most like s1mple 90% 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

T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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
Positioning5.1
Utility3.3
Mechanics4.7
Opening Duels4.4
Win Impact5.6

Composite 4.9/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time647ms−28ms
first ⅓ avg 676ms → last ⅓ avg 647ms
Headshot accuracy23.2%+3.0%
first ⅓ avg 20.2% → last ⅓ avg 23.2%

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 · 13–8 · overpass, 9 Feb →
40%Best headshot accuracy · 13–9 · inferno, 7 Mar →
453msFastest reaction time · 11–13 · mirage, 11 Jun →
13–2Biggest win · nuke, 13 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
3–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 88% over 8mirageWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
dust2C2912–1741%-0.02
mirageD289–1932%-0.01
ancientC135–838%0.00
nukeA117–464%0.00
overpassS87–188%0.01
infernoC83–538%-0.01
cache—22–0100%-0.03
train—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,195Lifetime kills
1.03K/D · Top 50% of tracked players
4,836Matches
44.9%Match win rate
42.7%Headshot %
14.8%Shot accuracy · Top 50% of tracked players
12,397MVPs
2,069Hours (in match)
1,143Bombs planted
800Bombs defused

Most-used weapons

AK-4728,087
AWP13,792
SG 5532,690
P902,677
AUG2,129
Negev1,903

Lifetime map wins

7,276dust2
3,249inferno
1,817nuke
1,205train
953cbble
836vertigo
603lake
573office

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

Faceit stats

Combat

164Matches
51%Win rate
1.08Avg K/D
58.9ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.408.0
Inferno10%0.538.0

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.

23.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.1%Spray accuracy
71.2%Counter-strafing
9.4°Preaim
638msReaction time
37.6%T opening success
57.5%CT opening success
0.51Enemies flashed / flash
2.0%Flash assists
7.83HE damage / grenade
4.46Flashes / 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 37.5703% — below the 40% mark we flag

Spend your practice time on Mirage

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

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0231%12 Aug →
nuke12–16-0.0615%6 Aug →
dust24–13-0.0520%28 Jul →
dust29–130.0232%27 Jul →
mirage15–150.0122%26 Jul →
ancient8–130.0136%16 Jul →
dust22–13-0.105%3 Jul →
dust25–13-0.0322%19 Jun →
mirage13–60.0422%19 Jun →
nuke13–30.1021%18 Jun →
dust213–40.0427%18 Jun →
mirage13–90.0721%14 Jun →
mirage11–130.0524%11 Jun →
mirage3–13-0.0237%9 Jun →
dust214–16-0.0117%5 Jun →
ancient5–13-0.0428%5 Jun →
dust213–9-0.0615%3 Jun →
mirage13–10-0.0338%3 Jun →
dust25–13-0.0626%3 Jun →
dust213–4-0.0523%3 Jun →
overpass13–10-0.0116%3 Jun →
cache13–7-0.0030%2 Jun →
dust25–13-0.0016%2 Jun →
mirage8–13-0.0615%2 Jun →
mirage13–80.0436%2 Jun →
nuke16–120.0422%2 Jun →
dust213–80.0517%2 Jun →
nuke13–60.0615%1 Jun →
dust213–10-0.0328%1 Jun →
overpass13–40.0418%1 Jun →
dust213–30.0323%1 Jun →
mirage13–6-0.0121%1 Jun →
cache13–11-0.0526%1 Jun →
train12–12-0.0034%1 Jun →
mirage15–15-0.0412%10 Mar →
nuke13–8-0.0116%10 Mar →
dust26–13-0.1126%10 Mar →
mirage9–13-0.0813%10 Mar →
mirage10–13-0.0227%10 Mar →
inferno7–13-0.0524%9 Mar →
mirage9–13-0.1016%9 Mar →
dust213–40.0822%9 Mar →
mirage6–13-0.0424%9 Mar →
dust214–16-0.0326%9 Mar →
dust213–60.0224%9 Mar →
inferno13–110.0526%9 Mar →
dust213–60.0011%8 Mar →
dust213–50.1022%8 Mar →
mirage13–40.0810%8 Mar →
ancient13–50.0313%8 Mar →
dust213–11-0.0223%7 Mar →
inferno13–9-0.0140%7 Mar →
mirage10–130.0117%7 Mar →
mirage7–130.0418%7 Mar →
dust211–130.0128%7 Mar →
mirage10–13-0.0423%6 Mar →
mirage11–13-0.0816%6 Mar →
dust26–13-0.0818%6 Mar →
overpass13–8-0.0030%6 Mar →
mirage13–10-0.0725%6 Mar →
ancient13–50.0628%6 Mar →
inferno13–60.0426%6 Mar →
ancient5–130.0425%6 Mar →
overpass11–13-0.0620%5 Mar →
nuke13–8-0.0315%5 Mar →
overpass13–7-0.0321%5 Mar →
ancient13–80.0111%5 Mar →
dust22–6-0.070%5 Mar →
nuke13–3-0.0316%5 Mar →
mirage13–9-0.0023%5 Mar →
inferno6–13-0.0115%5 Mar →
dust28–13-0.0520%5 Mar →
mirage5–13-0.0514%5 Mar →
overpass13–50.0423%4 Mar →
mirage10–130.0629%4 Mar →
dust27–13-0.0313%4 Mar →
ancient10–13-0.0231%3 Mar →
inferno6–13-0.0411%25 Feb →
mirage13–100.0117%25 Feb →
dust213–40.0021%25 Feb →
mirage11–130.0523%25 Feb →
dust29–13-0.0315%25 Feb →
nuke9–13-0.0111%24 Feb →
overpass13–8-0.0120%24 Feb →
ancient0–9-0.0125%24 Feb →
mirage7–130.0225%24 Feb →
ancient6–13-0.0615%15 Feb →
nuke3–13-0.0328%15 Feb →
ancient13–4-0.0622%15 Feb →
mirage6–13-0.0222%15 Feb →
ancient10–130.0521%15 Feb →
inferno7–130.0131%15 Feb →
mirage15–15-0.0228%15 Feb →
dust21–13-0.0719%15 Feb →
inferno4–13-0.0622%13 Feb →
nuke13–2-0.0123%13 Feb →
ancient6–13-0.0025%12 Feb →
nuke8–13-0.0227%11 Feb →
ancient13–30.0217%9 Feb →
overpass13–80.1215%9 Feb →

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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