jerkkola

jerkkola — CS2 Stats

FI76561197984068577[U:1:23802849]Steam profile ↗✓ No bans

2,112Tracked matches20%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating4,092Grey band · top ~82.6% of ranked players (population est.)
FaceitLevel 2 · 661 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−109Premier CS Rating · 4,201 → 4,092

Rating over time

Premier CS Rating: 4,092 +536 9 Jun – 4 Nov · 21 days played
2,6934,999peak 4,9999 Jun4 Nov
4,999Peak Premier in tracked matches
661Highest Faceit ELO seen on CSDB
44Days played since 2026-06-08

Faceit ELO

  • At peak — 661
  • Next: Level 3 at 751 — 90 to go
  • Reached: Level 2

Premier CS Rating

  • 907 below peak (4,999)
  • -577 over 30 days · declining
  • Next: Light Blue band at 5,000 — 908 to go

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

Share this profile

CSDB.GGjerkkolaFACEITLevel 2 · 661 ELOSTANDINGTop 97.9% of rankedPREMIER4,092 · Grey bandPEAK ELO661csdb.gg/stats

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Performance scores

Aim28
Positioning35
Utility55

0–100 skill scores via Leetify.

Recent form

COLD24–75–1Last 10024%Win rateLLLWLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −1.0pp headshot accuracy · −14ms reaction

Win rate up 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 9%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 659ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 666ms

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 (+2.4 against its own average).

Aim2.8
Utility5.5
Positioning3.5
Opening Duels0.0
Clutch3.4

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

iM

Plays most like iM 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 39% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 655ms 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

Aim2.8
Positioning3.5
Utility5.5
Mechanics5.4
Opening Duels1.1
Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time651ms−103ms
first ⅓ avg 754ms → last ⅓ avg 651ms
Headshot accuracy10.2%+1.0%
first ⅓ avg 9.2% → last ⅓ avg 10.2%

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

0.08Best match rating · 13–11 · dust2, 29 Oct →
24%Best headshot accuracy · 2–13 · inferno, 14 Sept →
422msFastest reaction time · 4–13 · mirage, 2 Nov →
13–2Biggest win · ancient, 3 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
9–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 45% over 20anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.03
nukeD194–1521%-0.07
dust2D184–1422%-0.05
ancientD155–1033%-0.06
mirageD91–811%-0.09
cacheD71–614%-0.07
anubisD50–50%-0.01
overpass—40–40%-0.05
vertigo—20–20%-0.07
office—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

185Matches
45%Win rate
0.70Avg K/D
60.2ADR
29%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3941%0.7810.9
Dust22438%0.6110.3
Nuke2446%0.7311.6
Anubis2055%0.7510.2
Overpass1457%0.8510.4
Ancient1250%0.7110.0
Mirage633%0.569.0
Train540%0.7011.6

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.

10.1%Headshot accuracy
29.1%Accuracy (enemy spotted)
31.8%Spray accuracy
74.2%Counter-strafing
12.2°Preaim
655msReaction time
38.6%T opening success
21.7%CT opening success
0.54Enemies flashed / flash
2.3%Flash assists
8.36HE damage / grenade
9.43Flashes / 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 12.1889° — 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 10.0514% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.109%4 Nov →
mirage4–13-0.1013%2 Nov →
dust24–13-0.0710%2 Nov →
ancient13–8-0.061%2 Nov →
dust210–13-0.0410%1 Nov →
mirage7–13-0.085%30 Oct →
nuke11–13-0.108%30 Oct →
dust22–13-0.079%30 Oct →
inferno13–80.0518%29 Oct →
dust213–110.0814%29 Oct →
cache8–13-0.075%27 Oct →
dust23–13-0.0215%27 Oct →
dust27–13-0.0617%27 Oct →
inferno16–19-0.034%25 Oct →
mirage12–16-0.109%23 Oct →
cache9–13-0.0713%23 Oct →
anubis8–13-0.0311%23 Oct →
inferno8–130.0112%23 Oct →
cache13–5-0.078%23 Oct →
nuke7–13-0.0813%21 Oct →
ancient6–13-0.090%21 Oct →
mirage5–13-0.0810%21 Oct →
dust213–16-0.0413%18 Oct →
anubis6–13-0.0412%18 Oct →
inferno10–13-0.069%16 Oct →
nuke13–110.017%15 Oct →
dust213–40.0817%15 Oct →
mirage9–13-0.0823%5 Oct →
cache5–13-0.108%4 Oct →
nuke5–13-0.095%1 Oct →
inferno13–90.0110%1 Oct →
mirage13–10-0.0910%30 Sept →
inferno13–9-0.0611%30 Sept →
vertigo9–13-0.0918%28 Sept →
inferno8–1-0.020%24 Sept →
inferno9–13-0.0010%24 Sept →
dust211–13-0.058%23 Sept →
dust26–13-0.095%16 Sept →
inferno5–13-0.106%16 Sept →
cache9–13-0.0311%14 Sept →
inferno2–13-0.1024%14 Sept →
nuke7–13-0.094%14 Sept →
nuke16–140.0113%13 Sept →
dust213–11-0.0810%10 Sept →
anubis8–13-0.0111%10 Sept →
inferno13–50.045%8 Sept →
inferno13–3-0.0312%8 Sept →
nuke10–13-0.0512%7 Sept →
nuke3–13-0.103%6 Sept →
dust213–11-0.0810%6 Sept →
ancient16–14-0.0410%6 Sept →
office8–13-0.016%4 Sept →
nuke16–14-0.078%27 Aug →
nuke7–13-0.0814%17 Aug →
mirage6–13-0.045%9 Aug →
dust22–13-0.093%3 Aug →
cache1–13-0.068%3 Aug →
ancient13–2-0.068%3 Aug →
inferno5–13-0.0411%3 Aug →
nuke6–13-0.097%3 Aug →
nuke9–13-0.1313%30 Jul →
ancient2–13-0.069%30 Jul →
inferno4–13-0.0117%30 Jul →
ancient7–13-0.0613%30 Jul →
ancient13–6-0.078%28 Jul →
inferno13–110.0119%23 Jul →
nuke9–13-0.0613%23 Jul →
ancient11–13-0.0910%23 Jul →
inferno11–13-0.027%22 Jul →
nuke8–13-0.069%22 Jul →
ancient15–15-0.0416%14 Jul →
dust211–13-0.096%14 Jul →
ancient10–13-0.127%14 Jul →
dust26–13-0.0511%3 Jul →
overpass10–13-0.068%3 Jul →
dust27–13-0.0612%3 Jul →
inferno11–13-0.055%25 Jun →
nuke13–2-0.042%24 Jun →
anubis7–130.039%24 Jun →
ancient13–110.006%24 Jun →
overpass5–13-0.097%18 Jun →
dust29–13-0.0410%18 Jun →
nuke14–16-0.055%18 Jun →
inferno11–6-0.0213%18 Jun →
ancient10–13-0.0913%18 Jun →
dust26–13-0.109%17 Jun →
overpass0–130.000%17 Jun →
nuke6–13-0.0817%17 Jun →
inferno13–7-0.012%17 Jun →
ancient4–13-0.058%17 Jun →
ancient1–13-0.0511%12 Jun →
anubis8–13-0.028%12 Jun →
nuke1–13-0.069%12 Jun →
mirage0–13-0.149%12 Jun →
overpass4–13-0.058%12 Jun →
cache1–13-0.0720%12 Jun →
ancient10–13-0.019%12 Jun →
inferno3–13-0.1011%12 Jun →
nuke7–13-0.0614%9 Jun →
vertigo10–13-0.0614%8 Jun →

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 →

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