laisk

laisk — CS2 Stats

FI76561197962633887[U:1:2368159]Steam profile ↗✓ No bans

1,700Tracked matches41%Win rate2020Tracked since
4,094Hours in CS12Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,017 → 2,017
+18Tracked matches · now 1,700
−14.8ppWin rate · 55.6% → 40.7%

Rating over time

Premier CS Rating: 20,744 +631 27 Feb – 1 Jun · 26 days played
18,30020,959peak 20,95927 Feb1 Jun
21,518Peak Premier in tracked matches
2,017Highest Faceit ELO seen on CSDB
36Days played since 2026-02-27

Faceit ELO

  • At peak — 2,017
  • Next: 2,500 ELO at 2,500 — 483 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-20
  • Level 9 first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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
Matches9——
Win rate11%——
K/D0.95——
Headshot %55%——

Measured 9 Sep 2026 → 12 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.GGlaiskPEAK ELO2,017csdb.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

Aim73
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateLLWLLLLLLW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +5.0pp headshot accuracy · −40ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 572ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 592ms

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 (+0.9 against its own average).

Aim7.3
Utility4.9
Positioning5.4
Opening Duels3.4
Clutch4.2

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

NiKo

Plays most like NiKo 95% 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. 603ms 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

Aim7.3
Positioning5.4
Utility4.9
Mechanics5.4
Opening Duels2.2
Win Impact1.9

Composite 5.2/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time606ms−10ms
first ⅓ avg 616ms → last ⅓ avg 606ms
Headshot accuracy17.4%−2.0%
first ⅓ avg 19.4% → last ⅓ avg 17.4%

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 · 12–12 · cache, 23 May →
35%Best headshot accuracy · 13–5 · mirage, 26 Mar →
422msFastest reaction time · 10–13 · cache, 3 Oct →
13–0Biggest win · dust2, 4 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
9–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%0.01
mirageD318–2326%0.00
infernoB126–650%0.02
ancientD92–722%-0.02
nukeB63–350%0.04
anubisA53–260%0.00
cache—42–250%0.04
overpass—20–20%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,653Lifetime kills
1.14K/D · Top 25% of tracked players
5,478Matches
49.7%Match win rate · Top 25% of tracked players
48.3%Headshot % · Top 50% of tracked players
16.1%Shot accuracy · Top 25% of tracked players
14,600MVPs
2,570Hours (in match)
7,071Bombs planted
1,654Bombs defused

Most-used weapons

AK-4746,262
AWP9,145
P2504,459
MAC-102,711
MP92,495

Lifetime map wins

20,843dust2
10,820inferno
2,576nuke
2,179train
589cbble
394vertigo
71aztec
31lake

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

Faceit stats

Combat

1,061Matches
52%Win rate
1.11Avg K/D
75.2ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9847%1.0414.6
Dust27655%1.1815.6
Inferno5958%1.0413.8
Ancient5244%0.9515.4
Overpass3768%1.1616.1
Anubis3142%1.1217.1
Nuke1844%1.0914.1
Cache333%1.1920.7

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.

17.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
41.0%Spray accuracy
74.2%Counter-strafing
9.1°Preaim
603msReaction time
37.1%T opening success
40.8%CT opening success
0.51Enemies flashed / flash
11.9%Flash assists
12.81HE damage / grenade
5.39Flashes / 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 37.0682% — 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.

22% 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
anubis3–130.0111%3 Oct →
dust29–130.0217%3 Oct →
inferno13–80.0424%3 Oct →
nuke7–130.0720%3 Oct →
cache10–13-0.0431%3 Oct →
inferno10–130.0717%3 Oct →
mirage8–13-0.0330%3 Oct →
dust22–13-0.0822%3 Oct →
nuke8–130.0521%3 Oct →
cache13–110.0713%2 Sept →
mirage6–130.0119%10 Aug →
dust213–90.069%10 Aug →
inferno13–60.0519%10 Aug →
dust26–13-0.0027%10 Aug →
dust213–9-0.0221%7 Jul →
anubis16–140.007%7 Jul →
dust212–120.0018%7 Jul →
ancient11–13-0.078%1 Jun →
mirage5–13-0.0416%1 Jun →
dust213–11-0.0311%1 Jun →
ancient4–13-0.089%1 Jun →
dust213–70.0729%24 May →
cache12–120.1224%23 May →
nuke13–70.1122%15 May →
ancient13–160.0012%10 May →
mirage2–13-0.0414%6 May →
mirage12–120.0618%6 May →
dust27–00.1012%3 May →
mirage7–13-0.0212%3 May →
dust213–11-0.0214%30 Apr →
mirage7–13-0.0613%30 Apr →
cache13–60.0215%30 Apr →
mirage8–130.0121%29 Apr →
anubis16–120.007%16 Apr →
mirage16–13-0.0412%16 Apr →
inferno13–20.0326%16 Apr →
ancient13–90.0221%14 Apr →
mirage11–13-0.0419%14 Apr →
ancient8–130.0913%11 Apr →
dust213–60.0319%11 Apr →
mirage9–13-0.0016%8 Apr →
mirage3–130.0315%8 Apr →
anubis7–13-0.0619%7 Apr →
nuke13–20.0124%7 Apr →
mirage7–130.0125%7 Apr →
dust213–110.0214%7 Apr →
dust211–130.0215%6 Apr →
inferno7–90.0428%5 Apr →
mirage5–13-0.0419%4 Apr →
dust212–12-0.0410%4 Apr →
inferno10–13-0.0314%4 Apr →
dust213–7-0.0713%4 Apr →
mirage13–60.0516%4 Apr →
dust213–00.1110%4 Apr →
dust213–7-0.0119%4 Apr →
mirage11–130.0515%4 Apr →
mirage10–130.0223%2 Apr →
dust213–160.0224%1 Apr →
anubis13–30.0513%1 Apr →
mirage10–13-0.0311%1 Apr →
dust215–15-0.0728%1 Apr →
dust213–100.0123%29 Mar →
mirage13–6-0.0217%29 Mar →
inferno13–80.0522%26 Mar →
nuke13–80.0114%26 Mar →
dust210–130.0134%26 Mar →
mirage13–5-0.0135%26 Mar →
ancient9–13-0.0825%23 Mar →
nuke9–130.0114%23 Mar →
mirage8–13-0.0523%22 Mar →
ancient19–16-0.0316%22 Mar →
overpass9–130.0114%22 Mar →
dust212–120.0315%18 Mar →
mirage12–120.0513%18 Mar →
dust29–13-0.0124%18 Mar →
dust215–15-0.0120%17 Mar →
inferno7–13-0.0721%15 Mar →
inferno16–120.0022%15 Mar →
ancient8–130.0420%12 Mar →
dust211–130.0621%12 Mar →
inferno7–130.0120%12 Mar →
dust211–130.0516%9 Mar →
mirage13–100.0316%9 Mar →
dust213–110.0124%9 Mar →
ancient4–13-0.0318%9 Mar →
mirage13–60.0310%9 Mar →
inferno13–11-0.0221%5 Mar →
mirage11–130.0235%5 Mar →
dust216–140.0319%3 Mar →
mirage13–40.0215%3 Mar →
dust213–11-0.019%1 Mar →
mirage9–130.0426%1 Mar →
overpass8–130.0115%1 Mar →
mirage13–30.0719%27 Feb →
dust26–130.0424%27 Feb →
mirage5–130.0326%27 Feb →
inferno11–130.0215%27 Feb →
mirage6–13-0.0024%27 Feb →
dust210–130.0429%27 Feb →
mirage4–13-0.0413%27 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K 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.