Lapskaus

Lapskaus — CS2 Stats

HM76561199220675867[U:1:1260410139]Steam profile ↗✓ No bans

749Tracked matches47%Win rate2021Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,318 -98 19 Apr – 16 Jun · 17 days played
9,52411,813peak 11,81319 Apr16 Jun
11,813Peak Premier in tracked matches
45Days played since 2025-04-19

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

Performance scores

Aim51
Positioning53
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWLLLWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +4.1pp headshot accuracy · −9ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 624ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 629ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim5.1
Utility7.1
Positioning5.3
Opening Duels4.8
Clutch8.0

Effective flashesReliable in 1v1s

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

device

Plays most like device 69% 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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim5.1
Positioning5.3
Utility7.1
Mechanics5.7
Opening Duels4.3
Win Impact3.9

Composite 5.3/10 (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 rating0.03+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time649ms−52ms
first ⅓ avg 701ms → last ⅓ avg 649ms
Headshot accuracy20.1%−0.3%
first ⅓ avg 20.4% → last ⅓ avg 20.1%

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 · 5–6 · mirage, 24 Aug →
80%Best headshot accuracy · 2–9 · inferno, 3 Mar →
430msFastest reaction time · 4–13 · inferno, 20 Apr →
13–1Biggest win · anubis, 28 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%0.02
dust2D216–1529%-0.05
nukeC156–940%0.02
overpassD134–931%-0.00
infernoC125–742%0.04
ancientS64–267%0.03
anubis—31–233%0.02
cache—11–0100%0.06
vertigo—10–10%-0.04
italy—10–10%-0.07
poseidon—10–10%0.01
train—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
62%Win rate
1.07Avg K/D
79.6ADR
65%Headshot %

Clutches & streaks

60%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.779.7
Inferno250%1.0210.5
Anubis1100%1.0022.0
Ancient1100%2.2022.0
Dust21100%1.0018.0

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.

20.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.0%Spray accuracy
75.7%Counter-strafing
13.2°Preaim
652msReaction time
38.9%T opening success
55.8%CT opening success
0.70Enemies flashed / flash
9.6%Flash assists
11.03HE damage / grenade
16.78Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1846° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–120.0812%4 Nov →
dust23–13-0.0820%4 Nov →
inferno10–130.1622%4 Nov →
anubis9–13-0.0114%4 Nov →
cache13–40.0612%4 Nov →
dust213–80.0319%16 Jun →
nuke13–6-0.0056%30 May →
inferno13–70.0227%30 May →
mirage9–130.0112%30 May →
inferno9–130.0928%29 May →
nuke6–130.0426%28 May →
inferno11–130.0519%28 May →
ancient10–13-0.0421%8 May →
nuke11–13-0.0411%8 May →
dust213–3-0.0526%8 May →
mirage7–13-0.0515%8 May →
inferno14–160.0210%3 May →
mirage13–90.0216%3 May →
overpass5–13-0.0112%3 May →
nuke13–16-0.0424%1 May →
dust29–13-0.0621%1 May →
inferno13–20.0916%1 May →
mirage2–13-0.0917%1 May →
inferno16–120.1718%30 Apr →
mirage13–100.1033%30 Apr →
nuke13–80.0736%30 Apr →
overpass13–60.0927%30 Apr →
mirage13–30.0819%30 Apr →
anubis13–10.0817%28 Apr →
overpass5–13-0.0120%28 Apr →
ancient13–20.1014%28 Apr →
mirage7–13-0.0012%28 Apr →
inferno13–6-0.0215%28 Apr →
overpass10–130.0017%27 Apr →
dust26–130.0324%27 Apr →
inferno4–13-0.150%20 Apr →
mirage11–13-0.120%18 Apr →
dust21–13-0.0827%8 Apr →
dust213–20.0019%8 Apr →
vertigo8–13-0.0431%8 Apr →
mirage13–40.0524%8 Apr →
italy1–13-0.0750%21 Mar →
poseidon7–90.0125%3 Mar →
inferno2–9-0.0980%3 Mar →
overpass5–13-0.0026%9 Feb →
ancient8–13-0.0219%25 Jan →
nuke9–130.0446%25 Jan →
nuke13–110.0223%23 Dec →
nuke7–13-0.0026%2 Nov →
overpass4–130.066%1 Nov →
nuke3–130.0951%31 Oct →
nuke0–10.130%24 Oct →
overpass13–16-0.0217%24 Oct →
train13–80.0530%23 Oct →
inferno13–60.0531%22 Oct →
mirage1–13-0.0537%21 Oct →
mirage13–30.0118%18 Oct →
nuke13–6-0.0617%18 Oct →
overpass13–60.0019%16 Oct →
mirage4–10.0840%16 Oct →
overpass8–13-0.0326%15 Oct →
nuke5–13-0.0231%15 Oct →
ancient13–11-0.0128%15 Oct →
mirage10–13-0.0018%15 Oct →
mirage9–13-0.0117%15 Oct →
overpass5–130.0029%15 Oct →
mirage7–13-0.0421%15 Oct →
ancient13–30.0817%11 Oct →
nuke13–50.0618%11 Oct →
mirage13–110.0319%11 Oct →
nuke13–160.0529%4 Sept →
dust25–13-0.0428%4 Sept →
mirage13–50.0942%29 Aug →
mirage7–00.0925%29 Aug →
mirage11–13-0.0333%27 Aug →
mirage13–1-0.0125%26 Aug →
dust213–60.0126%26 Aug →
mirage13–60.0932%25 Aug →
overpass13–90.0514%25 Aug →
mirage7–130.0425%25 Aug →
mirage5–60.2431%24 Aug →
mirage12–120.0318%15 Aug →
dust213–7-0.0318%15 Aug →
overpass10–5-0.0413%15 Aug →
nuke8–10.0214%15 Aug →
inferno9–130.1220%15 Aug →
dust211–13-0.0725%8 Aug →
dust20–13-0.090%8 Aug →
dust213–11-0.0921%4 Aug →
dust26–13-0.0713%4 Aug →
dust28–13-0.0723%15 Jul →
dust212–12-0.1043%15 Jul →
dust22–13-0.0625%13 Jul →
dust212–12-0.1021%13 Jul →
dust20–9-0.090%11 Jul →
dust20–13-0.099%11 Jul →
overpass5–13-0.150%10 Jul →
dust210–13-0.0218%12 Jun →
mirage13–10-0.0219%12 Jun →
anubis15–15-0.029%19 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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