Liha Pekka

Liha Pekka — CS2 Stats

76561199441477446[U:1:1481211718]Steam profile ↗✓ No bans

1,185Tracked matches43%Win rate2024Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating14,794Blue band · top ~29.5% of ranked players (population est.)
FaceitLevel 4 · 952 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 May 2026 (145 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,794 -417 2 Apr – 21 May · 5 days played
14,73415,211peak 15,2112 Apr21 May
15,437Peak Premier in tracked matches
952Highest Faceit ELO seen on CSDB
31Days played since 2026-03-28

Faceit ELO

  • At peak — 952
  • Next: Level 5 at 1,051 — 99 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 417 below peak (15,211)
  • +60 over 30 days · steady
  • Next: Purple band at 15,000 — 206 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLiha PekkaFACEITLevel 4 · 952 ELOSTANDINGTop 81.0% of rankedPREMIER14,794 · Blue bandPEAK ELO952csdb.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

Aim29
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWWWLLLLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.7pp headshot accuracy · +42ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 802ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 724ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 702ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim2.9
Utility6.0
Positioning4.6
Opening Duels2.4
Clutch2.4

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

donk

Plays most like donk 57% 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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 698ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning4.6
Utility6.0
Mechanics3.8
Opening Duels1.7
Win Impact2.6

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time697ms+72ms
first ⅓ avg 625ms → last ⅓ avg 697ms
Headshot accuracy14.9%−2.1%
first ⅓ avg 17.0% → last ⅓ avg 14.9%

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

0.09Best match rating · 13–5 · mirage, 31 Mar →
46%Best headshot accuracy · 13–6 · dust2, 20 Apr →
445msFastest reaction time · 13–5 · mirage, 10 Apr →
13–1Biggest win · cache, 9 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B5125–2649%-0.02
mirageC145–936%-0.05
infernoA127–558%-0.01
ancientC104–640%-0.02
nukeS54–180%0.03
anubisA53–260%-0.02
cache—21–150%-0.02
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

100Matches
51%Win rate
0.90Avg K/D
70.7ADR
41%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3145%0.7410.7
Dust22045%1.0015.6
Ancient1844%0.9214.8
Nuke1164%1.1414.6
Anubis862%0.9912.3
Inferno850%0.8414.6
Overpass2100%1.0012.0
Train1100%0.699.0

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.

14.9%Headshot accuracy
30.0%Accuracy (enemy spotted)
36.6%Spray accuracy
67.3%Counter-strafing
12.5°Preaim
698msReaction time
22.5%T opening success
43.4%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
10.48HE damage / grenade
12.55Flashes / 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 12.488° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9108% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4843 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0312%23 Aug →
dust213–8-0.0119%7 Aug →
dust213–80.0223%9 Jun →
dust213–100.0010%9 Jun →
dust211–130.0216%2 Jun →
dust29–130.0116%2 Jun →
cache7–13-0.0815%21 May →
dust21–13-0.0223%21 May →
inferno3–13-0.0811%21 May →
dust213–8-0.0523%17 May →
dust213–5-0.0218%17 May →
dust24–13-0.0221%17 May →
dust24–130.0114%17 May →
dust213–4-0.113%17 May →
dust213–40.0012%9 May →
cache13–10.0519%9 May →
dust27–13-0.0316%8 May →
dust212–12-0.0415%8 May →
mirage1–13-0.108%8 May →
dust211–130.0115%28 Apr →
inferno12–120.0011%28 Apr →
dust29–13-0.0615%28 Apr →
dust213–7-0.0020%28 Apr →
inferno13–11-0.057%27 Apr →
dust22–13-0.0617%26 Apr →
inferno8–50.0410%26 Apr →
dust211–30.0327%26 Apr →
dust20–13-0.157%26 Apr →
dust29–13-0.0224%24 Apr →
inferno4–13-0.120%24 Apr →
dust213–11-0.0318%24 Apr →
ancient5–13-0.117%24 Apr →
dust212–12-0.0323%24 Apr →
mirage11–13-0.044%24 Apr →
dust213–8-0.0712%23 Apr →
dust213–9-0.0115%20 Apr →
dust213–60.0146%20 Apr →
nuke13–70.0017%19 Apr →
dust213–5-0.0018%19 Apr →
mirage10–13-0.0318%19 Apr →
dust213–10-0.0412%19 Apr →
dust24–130.0523%19 Apr →
dust211–13-0.015%19 Apr →
inferno13–110.0116%18 Apr →
ancient13–6-0.0117%18 Apr →
nuke16–130.0313%17 Apr →
ancient13–40.0424%17 Apr →
mirage6–13-0.0728%17 Apr →
inferno10–13-0.0014%17 Apr →
nuke1–13-0.0122%14 Apr →
dust213–100.0016%14 Apr →
dust26–13-0.0821%14 Apr →
ancient13–10-0.0210%13 Apr →
dust213–7-0.0319%13 Apr →
ancient6–13-0.0813%13 Apr →
dust213–80.0226%11 Apr →
anubis5–13-0.1119%10 Apr →
mirage13–5-0.0416%10 Apr →
dust21–13-0.0720%10 Apr →
inferno13–11-0.0820%10 Apr →
dust211–13-0.0216%10 Apr →
dust212–12-0.0723%10 Apr →
dust212–12-0.0420%10 Apr →
dust210–13-0.0322%9 Apr →
dust26–13-0.064%9 Apr →
dust216–130.0411%9 Apr →
ancient6–130.006%8 Apr →
ancient1–13-0.0018%8 Apr →
anubis13–40.0312%8 Apr →
inferno10–130.0314%7 Apr →
nuke13–30.0615%7 Apr →
dust213–5-0.0123%7 Apr →
nuke13–100.0519%7 Apr →
dust213–11-0.0417%6 Apr →
mirage13–4-0.0520%6 Apr →
anubis5–130.0121%6 Apr →
inferno13–40.0111%6 Apr →
dust23–13-0.0819%5 Apr →
dust212–5-0.0311%5 Apr →
dust213–7-0.0727%5 Apr →
inferno13–110.0133%5 Apr →
dust28–13-0.0114%5 Apr →
inferno13–20.0819%5 Apr →
dust213–70.0516%5 Apr →
ancient13–30.0616%5 Apr →
mirage4–13-0.0216%5 Apr →
anubis13–20.0015%5 Apr →
mirage9–13-0.099%4 Apr →
dust213–80.0117%4 Apr →
ancient10–13-0.0014%4 Apr →
mirage9–13-0.0814%4 Apr →
anubis16–12-0.028%4 Apr →
mirage14–16-0.0223%2 Apr →
dust29–13-0.0516%2 Apr →
overpass13–7-0.0332%2 Apr →
ancient12–16-0.059%2 Apr →
mirage13–10-0.0811%1 Apr →
mirage8–13-0.0815%1 Apr →
mirage13–50.0920%31 Mar →
mirage13–9-0.0418%28 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.