Erkkilae

Erkkilae — CS2 Stats

FI76561197991835769[U:1:31570041]Steam profile ↗✓ No bans

507Tracked matches43%Win rate2021Tracked since
CSDB Rating4.3 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 14,999 +4,070 11 Nov – 4 Nov · 17 days played
10,92917,035peak 17,03511 Nov4 Nov
17,035Peak Premier in tracked matches
1,036Highest Faceit ELO seen on CSDB
45Days played since 2025-11-11

Faceit ELO

  • At peak — 1,036
  • Next: Level 5 at 1,051 — 15 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,036 below peak (17,035)
  • -440 over 30 days · declining
  • Next: Purple band at 15,000 — 1 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.GGErkkilaePREMIER14,999 · Blue bandPEAK ELO1,036csdb.gg/stats

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Performance scores

Aim41
Positioning48
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLLTLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · +5ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 486ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 531ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 529ms

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 (+1.9 against its own average).

Aim4.1
Utility6.4
Positioning4.8
Opening Duels3.0
Clutch3.8

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 64% 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

CT openings. Opening success drops from 55% on T to 38% on CT — first contacts on the defending side are being lost.

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

Aim4.1
Positioning4.8
Utility6.4
Mechanics4.9
Opening Duels4.1
Win Impact2.6

Composite 4.3/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time541ms−55ms
first ⅓ avg 596ms → last ⅓ avg 541ms
Headshot accuracy10.8%−1.2%
first ⅓ avg 11.9% → last ⅓ avg 10.8%

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 · 13–6 · ancient, 8 Sept →
38%Best headshot accuracy · 17–19 · mirage, 13 Jun →
359msFastest reaction time · 13–2 · ancient, 26 Sept →
13–1Biggest win · anubis, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 86% over 21mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%-0.02
ancientS2118–386%-0.01
anubisB2110–1148%-0.03
dust2D82–625%-0.02
mirageD70–70%-0.02
nukeS64–267%-0.02
cacheD60–60%-0.06
overpass—41–325%-0.02
train—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

105Matches
51%Win rate
0.84Avg K/D
65.0ADR
32%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2864%0.9413.0
Anubis2564%1.0311.9
Ancient2446%0.6710.8
Mirage1217%0.7112.8
Overpass743%0.6710.6
Nuke475%0.9914.0
Dust230%0.528.0
Train1100%0.9313.0

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.

10.8%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.6%Spray accuracy
72.1%Counter-strafing
11.8°Preaim
544msReaction time
54.5%T opening success
38.4%CT opening success
0.69Enemies flashed / flash
4.9%Flash assists
8.75HE damage / grenade
10.15Flashes / 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. 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 10.7832% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3878% — below the 40% mark we flag

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0117%4 Nov →
inferno5–13-0.077%4 Nov →
cache10–13-0.0615%3 Nov →
ancient15–15-0.0210%3 Nov →
inferno10–130.0113%30 Oct →
ancient13–5-0.057%30 Oct →
inferno13–8-0.0217%30 Oct →
anubis13–6-0.0111%30 Oct →
cache12–16-0.0515%10 Oct →
mirage11–130.035%10 Oct →
cache10–13-0.096%10 Oct →
inferno13–110.0317%26 Sept →
inferno13–5-0.029%26 Sept →
dust27–13-0.0020%26 Sept →
ancient13–2-0.050%26 Sept →
mirage12–12-0.083%24 Sept →
inferno3–13-0.065%24 Sept →
inferno13–110.0218%21 Sept →
anubis11–13-0.023%18 Sept →
nuke7–13-0.038%11 Sept →
anubis6–13-0.059%11 Sept →
ancient13–80.0312%11 Sept →
nuke9–13-0.0412%11 Sept →
mirage9–130.029%9 Sept →
ancient13–100.0213%8 Sept →
dust28–13-0.0413%8 Sept →
ancient13–60.129%8 Sept →
anubis10–13-0.065%29 Aug →
cache9–13-0.0712%29 Aug →
anubis13–40.0516%29 Aug →
inferno2–13-0.098%15 Aug →
inferno4–130.0218%15 Aug →
cache4–13-0.0811%15 Aug →
inferno10–13-0.0510%14 Aug →
anubis2–13-0.0613%14 Aug →
ancient13–20.0825%14 Aug →
inferno9–130.0120%14 Aug →
anubis13–10.054%7 Aug →
inferno16–12-0.026%7 Aug →
cache8–13-0.0313%7 Aug →
dust24–13-0.0313%7 Aug →
ancient13–3-0.008%7 Aug →
anubis10–13-0.0511%1 Aug →
anubis7–13-0.0312%1 Aug →
nuke13–11-0.0719%1 Aug →
inferno13–11-0.0116%30 Jul →
anubis13–10-0.099%28 Jul →
inferno11–13-0.0314%7 Jul →
dust26–13-0.0711%4 Jul →
mirage14–16-0.0114%4 Jul →
mirage17–19-0.0938%13 Jun →
anubis8–13-0.008%13 Jun →
dust213–11-0.0010%2 Jun →
ancient13–50.039%24 May →
anubis9–13-0.015%24 May →
inferno16–120.0414%22 May →
dust213–11-0.0118%2 May →
inferno5–120.0021%2 May →
ancient13–10-0.027%2 May →
anubis13–100.028%1 May →
anubis13–9-0.0111%4 Apr →
anubis5–13-0.077%4 Apr →
ancient13–110.0010%20 Mar →
anubis13–8-0.045%20 Mar →
overpass23–25-0.034%17 Feb →
inferno10–130.0410%15 Feb →
nuke13–10-0.0313%15 Feb →
overpass13–100.018%14 Feb →
inferno16–120.0515%14 Feb →
ancient13–7-0.0412%14 Feb →
inferno16–14-0.022%13 Feb →
dust27–13-0.0525%13 Feb →
ancient13–7-0.0613%13 Feb →
anubis14–16-0.1010%10 Feb →
ancient13–8-0.0511%10 Feb →
nuke13–40.0514%31 Jan →
anubis8–13-0.066%31 Jan →
anubis13–11-0.029%30 Jan →
anubis13–11-0.0511%29 Jan →
anubis13–60.0412%28 Jan →
inferno13–10-0.0311%12 Jan →
dust210–130.0412%12 Jan →
inferno10–13-0.0711%11 Jan →
ancient11–13-0.050%11 Jan →
ancient16–12-0.0212%11 Jan →
inferno13–8-0.037%8 Jan →
inferno13–7-0.0324%8 Jan →
ancient16–13-0.038%20 Dec →
inferno13–20.0415%20 Dec →
ancient13–9-0.0210%20 Dec →
ancient11–13-0.0517%20 Dec →
train13–20.0718%27 Nov →
mirage5–130.0420%27 Nov →
overpass6–13-0.0214%27 Nov →
overpass8–13-0.0411%18 Nov →
inferno13–11-0.0611%18 Nov →
ancient13–90.0111%18 Nov →
inferno13–10-0.0416%16 Nov →
ancient13–8-0.004%16 Nov →
mirage2–13-0.0314%11 Nov →

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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