Kallolainen

Kallolainen — CS2 Stats

FI76561197960897578[U:1:631850]Steam profile ↗✓ No bans

1,075Tracked matches57%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,190 → 1,190
+2Tracked matches · now 1,075
−3.3ppWin rate · 60.0% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 23 Nov 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,558 -1,412 23 Nov1 Sept · 15 days played
15,55817,458peak 17,45823 Nov1 Sept
Faceit ELO: 1,190 +0 1 Sept20 Sept · 2 observations
1,1901,190peak 1,1901 Sept20 Sept
17,809Peak Premier in tracked matches
1,190Highest Faceit ELO seen on CSDB
29Days played since 2025-11-23

Faceit ELO

  • At peak — 1,190
  • Next: Level 6 at 1,201 11 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

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.

Share this profile

CSDB.GGKallolainenPEAK ELO1,190csdb.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

Aim71
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateLWWLWWWWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.6pp headshot accuracy · −32ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 531ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 539ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim7.1
Utility4.3
Positioning5.1
Opening Duels3.1
Clutch2.2

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

iM

Plays most like iM 98% 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 →

CSDB Rating breakdown

Aim7.1
Positioning5.1
Utility4.3
Mechanics5.2
Opening Duels1.9
Win Impact7.2

Composite 4.9/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time568ms−16ms
first ⅓ avg 585ms → last ⅓ avg 568ms
Headshot accuracy20.6%−0.1%
first ⅓ avg 20.7% → last ⅓ avg 20.6%

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 · 9–2 · poseidon, 2 Mar
50%Best headshot accuracy · 13–1 · ancient, 17 Jun
406msFastest reaction time · 13–1 · ancient, 17 Jun
13–1Biggest win · ancient, 17 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
55In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 78% over 9infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
nukeB26141254%-0.03
infernoC2281436%-0.03
ancientB158753%-0.00
overpassS97278%-0.01
anubisC83538%-0.03
poseidon42250%0.03
vertigo42250%-0.02
cache3030%-0.01
sanctum3030%-0.12
train330100%0.01
mirage21150%-0.04
rooftop1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
53%Win rate
1.02Avg K/D
70.2ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2544%0.9313.3
Nuke2564%1.0114.9
Inferno2152%0.9313.8
Mirage1436%0.8313.9
Ancient1060%0.8813.5
Dust2743%0.8913.4
Vertigo560%1.1918.2
Train20%0.9414.5

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.

19.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.2%Spray accuracy
73.5%Counter-strafing
9.0°Preaim
548msReaction time
32.5%T opening success
42.9%CT opening success
0.35Enemies flashed / flash
1.4%Flash assists
9.38HE damage / grenade
8.72Flashes / 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. 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 0.3488 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.5266% — below the 40% mark we flag

Spend your practice time on Inferno

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 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0628%5 Sept
inferno13–11-0.0017%5 Sept
inferno13–9-0.0530%28 Jun
ancient9–13-0.0021%28 Jun
inferno13–3-0.0420%17 Jun
ancient13–10.0250%17 Jun
nuke13–9-0.0214%17 Jun
nuke16–12-0.0119%17 Jun
cache9–130.0214%5 May
cache11–130.0127%5 May
mirage16–12-0.0211%5 May
ancient6–13-0.069%5 May
nuke11–5-0.0126%16 Apr
inferno13–90.0325%16 Apr
ancient13–100.0215%16 Apr
anubis4–13-0.0431%16 Apr
inferno5–13-0.0425%16 Apr
ancient9–13-0.0022%10 Apr
anubis13–8-0.0218%10 Apr
ancient13–70.0213%9 Apr
inferno8–130.0115%9 Apr
ancient11–13-0.0926%6 Apr
anubis13–9-0.075%6 Apr
overpass13–9-0.0220%6 Apr
nuke10–13-0.0511%12 Mar
nuke13–4-0.0643%12 Mar
ancient5–13-0.0421%8 Mar
ancient13–9-0.0220%8 Mar
ancient6–13-0.037%5 Mar
nuke13–5-0.0514%5 Mar
poseidon9–20.1211%2 Mar
inferno1–9-0.1730%2 Mar
nuke3–9-0.1424%2 Mar
poseidon6–9-0.0224%2 Mar
sanctum3–9-0.1516%2 Mar
vertigo6–9-0.1116%2 Mar
nuke9–4-0.046%2 Mar
inferno6–9-0.069%2 Mar
ancient13–70.0818%25 Feb
nuke13–70.0225%24 Feb
anubis13–11-0.0617%24 Feb
nuke13–8-0.0315%11 Feb
inferno9–13-0.0119%11 Feb
overpass3–13-0.0729%11 Feb
anubis9–13-0.008%2 Feb
vertigo13–80.0420%1 Feb
anubis6–13-0.0316%1 Feb
nuke3–9-0.1625%22 Jan
sanctum8–80.0112%22 Jan
poseidon9–70.0614%22 Jan
overpass9–3-0.0310%22 Jan
inferno9–70.0419%22 Jan
sanctum1–9-0.2119%22 Jan
poseidon5–9-0.0214%22 Jan
inferno11–13-0.047%19 Jan
nuke13–50.0113%19 Jan
vertigo9–70.097%19 Jan
nuke9–2-0.0615%11 Jan
inferno7–9-0.1420%11 Jan
overpass9–00.0830%11 Jan
nuke6–13-0.0427%11 Jan
overpass13–4-0.0138%11 Jan
inferno13–80.0627%8 Jan
nuke9–60.0833%8 Jan
vertigo6–9-0.1223%8 Jan
overpass9–20.0625%8 Jan
nuke6–9-0.0037%8 Jan
inferno8–80.0517%8 Jan
rooftop8–8-0.0235%8 Jan
overpass9–13-0.0221%8 Jan
nuke13–60.0313%28 Dec
anubis12–12-0.0035%28 Dec
inferno6–9-0.0921%28 Dec
inferno9–13-0.0813%28 Dec
train13–100.0521%28 Dec
nuke13–8-0.0222%22 Dec
inferno6–130.0211%22 Dec
anubis6–13-0.0515%22 Dec
ancient13–40.1117%22 Dec
nuke4–13-0.0821%22 Dec
nuke7–130.0427%18 Dec
nuke15–150.0216%15 Dec
mirage13–16-0.0527%15 Dec
train13–2-0.0233%9 Dec
inferno7–13-0.0527%9 Dec
nuke6–13-0.0513%9 Dec
train13–80.0023%9 Dec
overpass9–4-0.039%9 Dec
inferno10–13-0.0714%8 Dec
ancient13–10-0.0513%8 Dec
ancient15–150.0319%8 Dec
overpass13–5-0.019%8 Dec
ancient13–60.0333%8 Dec
nuke13–40.0024%5 Dec
nuke10–13-0.0221%5 Dec
inferno13–10-0.0518%5 Dec
inferno0–13-0.136%5 Dec
nuke7–13-0.0133%23 Nov
inferno13–80.0639%23 Nov
nuke15–15-0.0417%23 Nov

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 →