Vatanen

Vatanen — CS2 Stats

FI76561198115338825[U:1:155073097]Steam profile ↗✓ No bans

209Tracked matches41%Win rate2020Tracked since
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,887 +8,187 6 Jul – 19 Jun · 18 days played
6,70016,807peak 16,8076 Jul19 Jun
16,807Peak Premier in tracked matches
35Days played since 2024-07-06

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

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CSDB.GGVatanenFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning54
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWWLWLLLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +0.4pp headshot accuracy · +19ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 638ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 629ms

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 Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim4.8
Utility2.9
Positioning5.4
Opening Duels4.2
Clutch0.0

Limited 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

s1mple

Plays most like s1mple 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 628ms 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

Aim4.8
Positioning5.4
Utility2.9
Mechanics5.3
Opening Duels3.5
Win Impact1.9

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-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time620ms−123ms
first ⅓ avg 743ms → last ⅓ avg 620ms
Headshot accuracy15.5%−1.2%
first ⅓ avg 16.7% → last ⅓ avg 15.5%

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

0.25Best match rating · 9–2 · vertigo, 12 Aug →
46%Best headshot accuracy · 6–13 · vertigo, 31 Jul →
438msFastest reaction time · 13–2 · ancient, 14 May →
13–1Biggest win · cache, 12 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
3–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 61% over 18ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%-0.01
mirageA1811–761%-0.02
nukeC145–936%-0.00
ancientD124–833%-0.01
dust2C114–736%0.01
overpassC83–538%-0.02
vertigoA53–260%0.05
anubis—42–250%0.01
cache—21–150%0.04
train—11–0100%0.12
memento—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
43%Win rate
0.98Avg K/D
75.6ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

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.

15.5%Headshot accuracy
31.0%Accuracy (enemy spotted)
31.4%Spray accuracy
73.8%Counter-strafing
9.6°Preaim
628msReaction time
38.2%T opening success
49.4%CT opening success
0.26Enemies flashed / flash
3.5%Flash assists
13.03HE damage / grenade
2.67Flashes / 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 0.2644 — 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 38.2471% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0422%17 Oct →
dust213–6-0.019%15 Oct →
cache13–10.1210%12 Oct →
ancient11–130.0213%12 Oct →
inferno13–100.0716%12 Oct →
inferno8–13-0.0513%7 Sept →
nuke11–130.0219%7 Sept →
dust21–13-0.0221%19 Jun →
inferno16–12-0.0315%19 Jun →
mirage11–13-0.0817%15 Jun →
inferno16–120.0116%15 Jun →
inferno4–9-0.088%15 Jun →
mirage10–13-0.027%11 Jun →
inferno13–9-0.0419%11 Jun →
overpass11–13-0.057%3 Jun →
mirage8–13-0.0628%3 Jun →
overpass10–13-0.0517%1 Jun →
inferno15–15-0.0515%1 Jun →
cache9–13-0.0417%14 May →
anubis6–130.0218%14 May →
ancient13–20.0612%14 May →
nuke9–13-0.0513%14 May →
nuke15–15-0.079%14 May →
ancient6–130.0219%14 May →
overpass9–13-0.029%6 May →
mirage13–8-0.0620%29 Apr →
ancient6–130.0427%29 Apr →
mirage13–40.0716%27 Apr →
inferno15–15-0.0318%26 Apr →
nuke10–13-0.0511%26 Apr →
ancient13–5-0.0115%26 Apr →
nuke13–7-0.0515%6 Apr →
inferno11–13-0.0520%6 Apr →
inferno13–90.0812%6 Apr →
ancient9–13-0.055%6 Apr →
mirage3–7-0.056%6 Apr →
mirage13–70.0116%6 Apr →
mirage1–12-0.029%6 Apr →
mirage16–13-0.0719%6 Apr →
inferno13–7-0.0121%6 Apr →
inferno11–13-0.0712%6 Apr →
dust210–130.0219%5 Apr →
ancient14–16-0.0422%5 Apr →
nuke7–130.0313%4 Apr →
inferno3–130.0122%3 Apr →
dust23–13-0.1213%3 Apr →
anubis6–130.0313%3 Apr →
dust27–20.0220%2 Apr →
mirage16–14-0.1014%2 Apr →
overpass13–10-0.0316%1 Apr →
inferno4–13-0.0817%1 Apr →
mirage13–5-0.0418%1 Apr →
dust213–60.0510%31 Mar →
overpass13–10.027%31 Mar →
inferno12–120.0110%31 Mar →
train13–40.1212%31 Mar →
ancient13–60.0114%31 Mar →
vertigo9–13-0.0113%31 Mar →
overpass13–10.1017%31 Mar →
nuke13–60.1317%31 Mar →
mirage9–00.0310%31 Mar →
dust213–100.1119%31 Mar →
inferno13–110.0315%31 Mar →
dust26–130.0715%31 Mar →
inferno13–30.1217%30 Mar →
mirage11–130.057%30 Mar →
ancient0–13-0.127%23 Sept →
inferno13–9-0.0414%23 Sept →
nuke15–15-0.0212%19 Aug →
dust211–130.0116%13 Aug →
mirage13–10-0.0817%13 Aug →
inferno8–8-0.049%12 Aug →
overpass3–9-0.1712%12 Aug →
vertigo9–20.2520%12 Aug →
memento5–9-0.0721%12 Aug →
nuke8–13-0.0512%6 Aug →
nuke13–50.0112%6 Aug →
inferno13–50.0518%6 Aug →
overpass10–13-0.028%5 Aug →
dust25–90.0229%5 Aug →
nuke13–40.0916%5 Aug →
ancient13–100.0312%4 Aug →
inferno8–13-0.0317%4 Aug →
nuke11–13-0.0013%1 Aug →
mirage16–12-0.0211%31 Jul →
ancient13–16-0.0415%31 Jul →
dust22–8-0.0617%31 Jul →
mirage4–13-0.0822%31 Jul →
vertigo6–130.0146%31 Jul →
inferno13–90.0124%29 Jul →
vertigo16–13-0.0117%29 Jul →
inferno6–13-0.0612%29 Jul →
nuke13–100.0219%29 Jul →
anubis13–10-0.0018%29 Jul →
nuke10–13-0.0120%9 Jul →
ancient10–130.0116%9 Jul →
inferno7–50.0421%8 Jul →
anubis13–30.0210%6 Jul →
vertigo13–8-0.0013%6 Jul →
mirage16–130.0512%6 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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