Yritys Oli Kova

Yritys Oli Kova — CS2 Stats

FI76561198989820155[U:1:1029554427]Steam profile ↗✓ No bans

1,981Tracked matches67%Win rate2020Tracked since
3,040Hours in CS7Hrs last 2 wks
CSDB Rating7.7 StrongPositional Player
Premier CS Rating24,405Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#29000 of 259985 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). 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: 24,405 +3,799 26 Aug – 31 Oct · 20 days played
20,60624,405peak 24,40526 Aug31 Oct
24,405Peak Premier in tracked matches
30Days played since 2026-08-26

Premier CS Rating

  • At peak — 24,405
  • +2,787 over 30 days · improving
  • Next: Red band at 25,000 — 595 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate43.4%46.8%48.2%4.8% short
Shot accuracy9.7%13.0%13.2%3.5% short
Kill/death ratio0.871.061.070.20 short
Match win rate46.0%46.3%46.9%0.9% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYritys Oli KovaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,405 · Pink bandcsdb.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

Aim77
Positioning68
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY59–38–3Last 10059%Win rateLWWWLWWLLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.3pp headshot accuracy · +16ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 686ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 616ms

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 (+1.1 against its own average).

Aim7.7
Utility5.9
Positioning6.8
Opening Duels5.5
Clutch4.6

Excellent counter-strafing

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 613ms 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

Aim7.7
Positioning6.8
Utility5.9
Mechanics8.6
Opening Duels7.2
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time608ms+34ms
first ⅓ avg 575ms → last ⅓ avg 608ms
Headshot accuracy19.0%−2.0%
first ⅓ avg 21.1% → last ⅓ avg 19.0%

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

0.31Best match rating · 9–0 · poseidon, 18 Sept →
50%Best headshot accuracy · 13–1 · inferno, 10 Oct →
406msFastest reaction time · 5–9 · inferno, 18 Sept →
13–0Biggest win · dust2, 8 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 80% over 20infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC218–1338%0.01
nukeS2016–480%0.01
dust2S1713–476%0.04
anubisC156–940%0.01
cacheS128–467%0.02
ancientA74–357%0.01
mirageC73–443%0.01
poseidon—11–0100%0.31

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,210Lifetime kills
0.87K/D
3,803Matches
46.0%Match win rate
43.4%Headshot %
9.7%Shot accuracy
7,842MVPs
1,992Hours (in match)
3,570Bombs planted
1,121Bombs defused

Most-used weapons

AK-4724,260
AWP6,334
SG 5533,205
MP91,535
SSG 081,529

Lifetime map wins

15,482dust2
9,469inferno
5,625nuke
879train
669vertigo
48office
18lake
16cbble

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

Faceit stats

Combat

575Matches
51%Win rate
1.02Avg K/D
83.0ADR
38%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5244%1.1216.4
Dust25258%1.4317.9
Inferno5052%1.3216.8
Anubis4951%1.2115.2
Nuke3757%1.1916.6
Ancient2948%1.1116.5
Cache1338%1.1218.1
Overpass10%0.8917.0

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.

18.5%Headshot accuracy
37.9%Accuracy (enemy spotted)
35.1%Spray accuracy
88.9%Counter-strafing
9.7°Preaim
613msReaction time
60.9%T opening success
56.3%CT opening success
0.55Enemies flashed / flash
7.5%Flash assists
7.91HE damage / grenade
8.99Flashes / match

Recommended for you

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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0532%2 Nov →
nuke13–60.029%31 Oct →
nuke13–10-0.008%31 Oct →
inferno13–110.1124%31 Oct →
ancient9–13-0.0115%31 Oct →
cache13–11-0.017%23 Oct →
dust213–70.1321%23 Oct →
nuke6–13-0.0021%23 Oct →
inferno5–13-0.0413%16 Oct →
nuke13–40.0828%16 Oct →
anubis13–11-0.0522%16 Oct →
cache10–13-0.0221%16 Oct →
inferno5–13-0.0518%12 Oct →
dust213–90.0524%12 Oct →
cache13–11-0.0326%12 Oct →
nuke13–20.0819%12 Oct →
anubis5–13-0.0510%12 Oct →
nuke13–2-0.0618%11 Oct →
mirage13–100.0616%11 Oct →
cache13–9-0.0216%10 Oct →
cache13–40.0421%10 Oct →
inferno11–130.0323%10 Oct →
ancient13–70.0814%10 Oct →
cache13–80.0613%10 Oct →
inferno13–10.0650%10 Oct →
anubis13–90.0816%10 Oct →
ancient7–13-0.0213%9 Oct →
anubis14–160.0411%9 Oct →
dust213–40.0137%9 Oct →
nuke13–70.019%9 Oct →
mirage10–130.0024%3 Oct →
anubis9–13-0.0110%27 Sept →
anubis3–13-0.0522%26 Sept →
nuke16–14-0.018%23 Sept →
ancient13–30.028%23 Sept →
inferno11–130.0413%23 Sept →
dust23–130.0213%23 Sept →
dust26–13-0.0016%22 Sept →
dust213–60.0110%22 Sept →
anubis13–70.0217%19 Sept →
cache16–14-0.0216%19 Sept →
dust213–10.0727%19 Sept →
anubis13–10.0816%19 Sept →
nuke16–130.0123%19 Sept →
inferno13–6-0.0417%19 Sept →
poseidon9–00.3122%18 Sept →
inferno5–9-0.0335%18 Sept →
nuke7–130.0917%18 Sept →
nuke16–140.017%18 Sept →
dust210–13-0.0121%18 Sept →
inferno11–13-0.0319%17 Sept →
ancient16–190.0225%16 Sept →
anubis3–13-0.0523%13 Sept →
inferno5–130.0421%12 Sept →
nuke13–80.0420%12 Sept →
nuke13–50.0622%12 Sept →
inferno13–100.009%11 Sept →
nuke6–13-0.0825%11 Sept →
dust213–100.1711%10 Sept →
nuke16–140.0121%10 Sept →
anubis9–130.0119%10 Sept →
dust213–100.0221%10 Sept →
nuke13–80.038%9 Sept →
inferno15–150.0221%9 Sept →
anubis11–130.0512%9 Sept →
nuke13–11-0.0413%9 Sept →
ancient19–17-0.0217%9 Sept →
dust213–80.0036%9 Sept →
anubis3–13-0.0713%9 Sept →
mirage13–70.0118%8 Sept →
inferno13–30.0215%8 Sept →
mirage4–13-0.0314%8 Sept →
nuke7–13-0.0614%8 Sept →
dust213–00.0319%8 Sept →
mirage13–90.0424%7 Sept →
cache13–5-0.0110%7 Sept →
cache4–130.0218%7 Sept →
anubis5–13-0.0520%7 Sept →
inferno8–130.0316%7 Sept →
mirage7–13-0.0224%7 Sept →
cache11–130.0129%7 Sept →
dust213–50.1025%6 Sept →
inferno9–130.0117%6 Sept →
dust213–50.0235%6 Sept →
cache13–60.1220%6 Sept →
mirage7–130.0335%4 Sept →
inferno13–40.0217%4 Sept →
nuke13–10-0.0420%4 Sept →
inferno16–140.0416%4 Sept →
inferno8–13-0.0318%4 Sept →
anubis13–110.0729%4 Sept →
inferno10–13-0.0123%31 Aug →
dust213–40.0726%31 Aug →
inferno15–15-0.0218%31 Aug →
nuke13–11-0.0426%29 Aug →
cache15–150.0631%29 Aug →
inferno13–110.0622%27 Aug →
anubis13–70.0611%26 Aug →
dust213–90.0213%26 Aug →
ancient13–6-0.0022%26 Aug →

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 →

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