Rytkön Ville

Rytkön Ville — CS2 Stats

FI76561198157686641[U:1:197420913]Steam profile ↗✓ No bans

356Tracked matches33%Win rate2021Tracked since
CSDB Rating5.1 DevelopingPositional Player
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,788 -257 13 Feb – 11 Jun · 18 days played
14,54317,415peak 17,41513 Feb11 Jun
17,814Peak Premier in tracked matches
30Days played since 2026-02-13

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

Performance scores

Aim80
Positioning50
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLWLLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.6pp headshot accuracy · −96ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 487ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 486ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 534ms

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 (+2.4 against its own average).

Aim8.0
Utility1.8
Positioning5.0
Opening Duels3.5
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

donk

Plays most like donk 85% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0
Positioning5.0
Utility1.8
Mechanics6.0
Opening Duels5.0
Win Impact0.0

Composite 5.1/10 (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-0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg -0.00
Reaction time530ms−14ms
first ⅓ avg 545ms → last ⅓ avg 530ms
Headshot accuracy16.4%+3.9%
first ⅓ avg 12.5% → last ⅓ avg 16.4%

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

0.21Best match rating · 9–4 · nuke, 24 Apr →
28%Best headshot accuracy · 5–13 · dust2, 9 Mar →
359msFastest reaction time · 9–4 · vertigo, 24 Apr →
13–2Biggest win · mirage, 16 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

poseidonBest map · 70% over 10infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%0.03
dust2C219–1243%-0.01
nukeA127–558%0.08
poseidonS107–370%0.03
infernoD81–713%-0.00
ancientB63–350%-0.01
anubis—40–40%0.02
overpass—42–250%0.02
cache—31–233%0.00
sanctum—20–20%0.07
vertigo—22–0100%0.11
eldorado—10–10%-0.03
debris—11–0100%0.04
shelter—10–10%0.03
alpine—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
1.13Avg K/D
82.0ADR
26%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.9313.0
Ancient1100%1.3324.0

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.

16.5%Headshot accuracy
37.0%Accuracy (enemy spotted)
37.7%Spray accuracy
77.1%Counter-strafing
7.7°Preaim
520msReaction time
53.4%T opening success
46.8%CT opening success
0.35Enemies flashed / flash
2.8%Flash assists
3.40HE damage / grenade
2.58Flashes / 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 0.3504 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0219%6 Oct →
mirage10–13-0.0415%6 Oct →
inferno16–130.0424%6 Oct →
cache4–13-0.0618%6 Oct →
dust24–13-0.059%5 Oct →
mirage14–160.0624%5 Oct →
dust213–60.0523%5 Oct →
inferno7–130.0112%2 Oct →
dust212–16-0.0116%30 Sept →
dust213–60.0817%30 Sept →
dust23–13-0.0728%30 Sept →
inferno10–130.0014%30 Sept →
eldorado2–9-0.0324%7 Sept →
debris9–60.0410%7 Sept →
poseidon9–40.055%7 Sept →
shelter6–130.0314%7 Sept →
mirage4–130.0327%7 Sept →
nuke2–130.1024%7 Sept →
ancient16–140.019%5 Sept →
dust28–13-0.1017%5 Sept →
inferno5–13-0.0613%27 Aug →
dust28–130.0611%27 Aug →
anubis5–130.0023%24 Aug →
dust213–7-0.0424%24 Aug →
ancient13–4-0.0121%24 Aug →
cache8–13-0.0113%11 Jun →
anubis5–13-0.0610%11 Jun →
mirage13–6-0.016%11 Jun →
ancient6–13-0.0419%11 Jun →
dust213–11-0.019%11 Jun →
mirage13–100.039%18 May →
dust26–13-0.0226%18 May →
mirage10–13-0.0510%16 May →
cache13–100.0715%16 May →
mirage10–13-0.0110%26 Apr →
poseidon6–9-0.077%26 Apr →
poseidon9–60.0621%26 Apr →
poseidon2–9-0.196%26 Apr →
poseidon9–60.065%25 Apr →
sanctum8–80.1810%24 Apr →
poseidon9–50.0914%24 Apr →
poseidon9–50.0816%24 Apr →
poseidon9–20.1222%24 Apr →
poseidon9–30.0216%24 Apr →
nuke9–40.2111%24 Apr →
vertigo9–40.099%24 Apr →
dust211–13-0.018%24 Apr →
mirage15–150.0517%24 Apr →
mirage13–40.035%24 Apr →
overpass0–12-0.0612%24 Apr →
mirage1–13-0.0519%24 Apr →
vertigo9–50.1415%22 Apr →
sanctum5–9-0.036%22 Apr →
inferno10–13-0.025%22 Apr →
mirage15–150.0212%22 Apr →
poseidon7–90.0612%22 Apr →
nuke13–16-0.0218%17 Apr →
mirage5–130.0217%16 Apr →
dust213–10-0.0510%16 Apr →
mirage13–40.0813%16 Apr →
mirage13–20.043%16 Apr →
overpass7–90.0223%16 Apr →
anubis7–130.0615%7 Apr →
mirage6–13-0.0215%7 Apr →
inferno8–80.0116%7 Apr →
inferno6–13-0.0510%27 Mar →
anubis9–130.0913%27 Mar →
overpass13–50.0110%27 Mar →
mirage7–130.047%27 Mar →
dust213–9-0.0113%27 Mar →
nuke13–30.0610%27 Mar →
nuke16–130.0611%25 Mar →
dust213–6-0.0112%25 Mar →
dust213–6-0.0111%25 Mar →
nuke13–90.0912%16 Mar →
mirage10–130.0912%16 Mar →
ancient13–11-0.0011%16 Mar →
overpass13–80.1214%16 Mar →
dust28–13-0.0313%9 Mar →
mirage13–50.0610%9 Mar →
dust25–13-0.0728%9 Mar →
ancient11–130.036%9 Mar →
nuke7–13-0.0213%6 Mar →
dust214–160.0010%4 Mar →
nuke13–40.1011%4 Mar →
mirage13–30.069%4 Mar →
alpine13–40.036%4 Mar →
dust24–13-0.076%4 Mar →
ancient9–13-0.026%2 Mar →
mirage10–13-0.0220%28 Feb →
dust22–130.0224%28 Feb →
mirage13–100.0221%27 Feb →
nuke13–60.147%27 Feb →
dust213–110.0715%26 Feb →
mirage6–130.1012%26 Feb →
inferno7–130.0623%26 Feb →
nuke9–40.1912%26 Feb →
nuke10–130.0619%26 Feb →
mirage13–30.0712%24 Feb →
nuke11–130.008%13 Feb →

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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