Lassegotwild

Lassegotwild — CS2 Stats

DK76561198409458813[U:1:449193085]Steam profile ↗✓ No bans

2,168Tracked matches50%Win rate2020Tracked since
5,559Hours in CS8Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,815 → 2,815
+6Tracked matches · now 2,168
0.0ppWin rate · 50.0% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 62 days played since 24 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 2,815 +0 5 Sept18 Sept · 2 observations
2,8152,815peak 2,8155 Sept18 Sept
2,815Highest Faceit ELO seen on CSDB
62Days played since 2025-04-24

Faceit ELO

  • At peak — 2,815
  • Next: 3,000 ELO at 3,000 185 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-05
  • Level 10 first seen 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches5
Win rate100%
K/D1.27
Headshot %50%

Measured 18 Sep 202623 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGLassegotwildPEAK ELO2,815csdb.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

Aim74
Positioning53
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY5644Last 10056%Win rateLWLWLLLWWL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +5.0pp headshot accuracy · +39ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 545ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 559ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 539ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.4
Utility4.1
Positioning5.3
Opening Duels4.0
Clutch4.0

Strong CT-side opener

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim7.4
Positioning5.3
Utility4.1
Mechanics7.1
Opening Duels3.7
Win Impact5.0

Composite 5.9/10 (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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time543ms−15ms
first ⅓ avg 557ms → last ⅓ avg 543ms
Headshot accuracy26.0%−4.0%
first ⅓ avg 30.0% → last ⅓ avg 26.0%

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

0.11Best match rating · 13–11 · ancient, 20 May
47%Best headshot accuracy · 5–13 · train_rbcs, 14 Aug
375msFastest reaction time · 13–8 · inferno, 3 Mar
13–1Biggest win · nuke, 17 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
129In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 64% over 11trainWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2314961%0.01
ancientA2012860%0.01
overpassA1811761%-0.00
infernoA117464%0.02
trainB105550%0.01
dust2B84450%0.00
mirage31233%0.01
anubis32167%0.04
cache1010%-0.03
sharkgaming1010%-0.06
aztec_rbcs1010%-0.03
train_rbcs1010%0.01

Across the last 100 tracked matches.

Lifetime stats

252,047Lifetime kills
1.00K/D
6,064Matches
49.3%Match win rate · Top 25% of tracked players
69.1%Headshot % · Top 1% of tracked players
10.6%Shot accuracy
16,045MVPs
5,491Hours (in match)
5,539Bombs planted
1,849Bombs defused

Most-used weapons

AK-47142,907
AWP14,879
SG 5534,499
AUG3,872
MP73,584
MAC-103,427

Lifetime map wins

12,319inferno
6,697nuke
5,683vertigo
3,878dust2
3,159train
491cbble
162lake
110ar_shoots

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

Faceit stats

Combat

1,611Matches
56%Win rate
1.15Avg K/D
77.4ADR
57%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient32152%1.0815.6
Nuke22360%1.1615.7
Inferno15555%1.1416.1
Mirage15052%1.0514.7
Anubis11857%1.1216.1
Overpass9962%1.1315.9
Train9265%1.2416.3
Dust26240%0.9413.9

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.

26.5%Headshot accuracy
31.8%Accuracy (enemy spotted)
33.9%Spray accuracy
81.8%Counter-strafing
11.4°Preaim
551msReaction time
25.1%T opening success
59.7%CT opening success
0.43Enemies flashed / flash
6.8%Flash assists
5.31HE damage / grenade
6.57Flashes / 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 0.4256 — 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 25.1486% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0335%7 Aug
nuke13–30.0721%1 Jul
ancient6–130.0632%27 Jun
nuke13–7-0.0635%27 Jun
dust214–16-0.0527%18 Jun
nuke19–22-0.0033%3 May
dust29–130.0229%3 May
inferno13–70.0724%2 May
overpass13–9-0.0025%29 Apr
mirage14–160.0327%29 Apr
ancient13–80.0433%29 Apr
inferno7–13-0.0424%13 Apr
ancient13–110.0527%13 Apr
inferno13–110.0230%22 Mar
ancient16–130.0430%12 Mar
overpass13–11-0.047%7 Mar
inferno13–80.0212%3 Mar
nuke13–50.0921%2 Mar
sharkgaming6–13-0.0625%8 Feb
ancient13–8-0.0328%20 Jan
ancient6–130.0017%6 Jan
overpass6–13-0.0443%27 Dec
ancient8–130.0140%27 Dec
ancient13–50.0122%22 Dec
overpass11–13-0.0235%15 Dec
overpass5–13-0.0412%10 Dec
nuke8–13-0.0418%8 Dec
ancient13–80.0426%18 Nov
ancient13–60.0520%17 Nov
overpass7–13-0.0627%12 Nov
overpass13–70.0420%31 Oct
overpass13–7-0.0435%31 Oct
nuke13–160.0020%17 Oct
nuke5–13-0.0429%17 Oct
nuke4–13-0.0233%15 Oct
ancient11–130.0428%9 Oct
overpass13–110.0623%23 Sept
nuke13–8-0.0521%19 Sept
nuke13–110.0535%10 Sept
overpass16–140.0628%10 Sept
ancient13–8-0.0241%10 Sept
overpass13–9-0.057%10 Sept
train13–4-0.0223%9 Sept
dust22–13-0.0121%8 Sept
train13–90.0929%8 Sept
overpass13–90.0425%8 Sept
ancient5–13-0.0411%8 Sept
train13–11-0.0530%3 Sept
nuke13–60.0439%3 Sept
train13–8-0.0312%1 Sept
inferno8–13-0.0230%1 Sept
overpass11–13-0.0324%1 Sept
nuke13–70.0533%1 Sept
ancient16–19-0.0126%31 Aug
inferno9–13-0.0326%31 Aug
nuke2–13-0.1033%31 Aug
nuke13–5-0.0136%31 Aug
nuke13–11-0.0025%28 Aug
overpass13–7-0.0417%28 Aug
aztec_rbcs7–13-0.0330%28 Aug
inferno19–170.0235%27 Aug
ancient13–60.0124%19 Aug
overpass13–80.0524%17 Aug
nuke13–10.0728%17 Aug
overpass6–130.0329%17 Aug
inferno11–13-0.0116%14 Aug
train_rbcs5–130.0147%14 Aug
train17–190.0026%11 Aug
nuke13–90.0132%11 Aug
overpass10–13-0.0527%11 Aug
train11–130.0544%7 Aug
ancient3–13-0.0731%2 Aug
overpass13–30.1044%23 Jul
nuke13–60.0231%23 Jul
anubis12–160.0524%12 Jul
nuke10–130.0030%12 Jul
ancient13–70.0328%3 Jul
train4–130.0027%3 Jul
mirage16–19-0.0233%3 Jul
mirage13–100.0023%28 Jun
train5–13-0.0040%24 Jun
inferno13–20.0633%21 Jun
nuke8–130.0320%20 Jun
dust29–13-0.0133%29 May
nuke14–160.0329%29 May
inferno13–70.0430%29 May
nuke13–11-0.0026%29 May
dust213–10-0.0231%29 May
inferno13–70.1130%28 May
ancient2–13-0.0521%26 May
dust213–100.0433%25 May
dust213–100.0539%21 May
ancient13–110.1124%20 May
anubis13–100.0723%18 May
nuke13–7-0.0139%17 May
anubis13–10-0.0119%14 May
dust213–80.0127%13 May
train9–130.0340%24 Apr
train16–140.0122%24 Apr
ancient13–70.0030%24 Apr

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →