Lassegotwild

Lassegotwild — CS2 Stats

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

2,182Tracked matches53%Win rate2020Tracked since
5,569Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,815 → 2,815
+14Tracked matches · now 2,182
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Faceit ELO: 2,815 +0 5 Sept – 23 Sept · 3 observations
2,8152,815peak 2,8155 Sept23 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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate62%——
K/D0.99——
Headshot %52%——

Measured 23 Sep 2026 → 26 Oct 2026; no observation near 60 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

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Performance scores

Aim73
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 545ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 559ms

Last 20

  • 12–8 · 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 Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim7.3
Utility4.3
Positioning5.1
Opening Duels3.7
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

m0NESY

Plays most like m0NESY 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.3
Positioning5.1
Utility4.3
Mechanics7.0
Opening Duels3.3
Win Impact6.1

Composite 6.0/10 (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
12–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 64% over 11trainWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2314–961%0.01
ancientA2012–860%0.01
overpassA1811–761%-0.00
infernoA117–464%0.02
trainB105–550%0.01
dust2B84–450%0.00
mirage—31–233%0.01
anubis—32–167%0.04
cache—10–10%-0.03
sharkgaming—10–10%-0.06
aztec_rbcs—10–10%-0.03
train_rbcs—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

252,332Lifetime kills
1.00K/D
6,077Matches
49.3%Match win rate · Top 25% of tracked players
69.0%Headshot % · Top 1% of tracked players
10.6%Shot accuracy
16,081MVPs
5,498Hours (in match)
5,548Bombs planted
1,853Bombs defused

Most-used weapons

AK-47143,036
AWP14,900
SG 5534,500
AUG3,872
MP73,587
MAC-103,432

Lifetime map wins

12,369inferno
6,735nuke
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

1,625Matches
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 resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient32652%1.0915.6
Nuke22660%1.1715.7
Inferno15856%1.1416.2
Mirage15152%1.0514.8
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.

26.3%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.2%Spray accuracy
81.7%Counter-strafing
11.5°Preaim
546msReaction time
25.7%T opening success
56.8%CT opening success
0.45Enemies flashed / flash
6.8%Flash assists
5.83HE damage / grenade
6.66Flashes / 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 0.4477 — 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 25.7166% — 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 →

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