Koivukankaan Ari

Koivukankaan Ari — CS2 Stats

KN76561198302716144[U:1:342450416]Steam profile ↗✓ No bans

55Tracked matches45%Win rate2024Tracked since
239Hours in CS
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim54
Positioning41
Utility34

0–100 skill scores via Leetify.

Recent form

COLD21–32–2Last 5538%Win rateLWLLTWLLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.7pp headshot accuracy · +53ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 692ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 662ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 635ms

Newest first, from the last 55 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 (+1.6 against its own average).

Aim5.4
Utility3.4
Positioning4.1
Opening Duels0.0

Strong CT-side openerLimited utility dependence

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 35% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim5.4
Positioning4.1
Utility3.4
Mechanics6.7
Opening Duels0.6
Win Impact3.3

Composite 4.3/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time654ms−11ms
first ⅓ avg 665ms → last ⅓ avg 654ms
Headshot accuracy17.2%−0.7%
first ⅓ avg 17.9% → last ⅓ avg 17.2%

Rolling 5-match average across the last 55 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 9–0 · inferno, 2 Feb →
67%Best headshot accuracy · 8–0 · mirage, 14 Dec →
469msFastest reaction time · 10–13 · train, 7 Jan →
13–2Biggest win · mirage, 4 Jan →

Across the last 55 tracked matches.

Highlights

3Longest win streak
4–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 44% over 16dust2Weakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC167–944%-0.03
nukeC146–843%-0.00
anubisC73–443%-0.02
dust2C52–340%-0.02
ancient—41–325%-0.01
inferno—31–233%0.04
train—20–20%-0.06
vertigo—21–150%-0.04
overpass—10–10%-0.05
edin—10–10%0.14

Across the last 55 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,162Lifetime kills
1.20K/D · Top 25% of tracked players
482Matches
44.4%Match win rate
52.4%Headshot % · Top 25% of tracked players
9.8%Shot accuracy
1,334MVPs
239Hours (in match)
269Bombs planted
119Bombs defused

Most-used weapons

Lifetime map wins

628dust2
536nuke
377inferno
277lake
139vertigo
107train
52office
17cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.2%Spray accuracy
80.3%Counter-strafing
11.7°Preaim
652msReaction time
16.4%T opening success
34.9%CT opening success
0.54Enemies flashed / flash
5.5%Flash assists
4.87HE damage / grenade
2.72Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7212 — below the 4 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 16.444% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0714%2 Sept →
nuke10–6-0.0129%12 Jun →
dust25–13-0.057%11 Jun →
mirage5–13-0.0914%11 Jun →
dust215–15-0.0619%3 Jun →
mirage13–7-0.0120%3 Jun →
nuke1–13-0.0522%29 May →
nuke10–13-0.0811%27 May →
ancient10–13-0.017%27 May →
mirage13–30.0020%26 May →
anubis13–40.0313%25 Jan →
inferno7–90.0211%24 Jan →
anubis13–6-0.0418%24 Jan →
mirage2–13-0.0524%16 Jan →
nuke13–100.0235%12 Jan →
mirage8–13-0.0221%12 Jan →
nuke16–140.0016%11 Jan →
ancient13–110.0213%7 Jan →
train10–13-0.0525%7 Jan →
ancient7–13-0.0214%6 Jan →
nuke5–130.0710%5 Jan →
nuke13–4-0.0321%4 Jan →
nuke10–13-0.0410%4 Jan →
mirage13–20.0817%4 Jan →
nuke13–80.0617%4 Jan →
dust213–30.0616%29 Dec →
nuke8–130.0920%29 Dec →
nuke4–130.019%20 Dec →
dust213–110.0221%20 Dec →
anubis10–130.0433%18 Dec →
mirage5–13-0.0818%18 Dec →
dust212–12-0.0715%18 Dec →
mirage13–8-0.0311%17 Dec →
overpass4–13-0.0525%14 Dec →
mirage8–00.0467%14 Dec →
nuke9–13-0.0212%11 Dec →
mirage11–40.0130%11 Dec →
mirage13–10-0.0215%8 Dec →
ancient5–13-0.0318%8 Dec →
nuke13–10-0.0230%8 Dec →
mirage10–13-0.075%8 Dec →
nuke7–13-0.0415%1 Sept →
mirage1–13-0.0222%26 Aug →
mirage0–13-0.0620%24 Aug →
mirage0–2-0.010%24 Aug →
anubis9–13-0.0329%21 Aug →
anubis8–13-0.0515%20 Aug →
anubis13–3-0.0318%20 Aug →
anubis6–13-0.0311%24 Jun →
inferno4–9-0.1230%24 Jun →
vertigo9–7-0.0626%14 Feb →
inferno9–00.2311%2 Feb →
edin5–130.1430%31 Jan →
vertigo8–13-0.0218%5 Dec →
train8–13-0.0610%5 Dec →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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