Röökilaiva Pete

Röökilaiva Pete — CS2 Stats

JP76561198064440332[U:1:104174604]Steam profile ↗✓ No bans

153Tracked matches52%Win rate2020Tracked since
CSDB Rating4.4 DevelopingPositional Player
Ladder ranks via Leetify
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. 48 days played since 21 Mar 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,560 +5,017 14 Nov7 Dec · 3 days played
10,54316,962peak 16,96214 Nov7 Dec
17,077Peak Premier in tracked matches
48Days played since 2023-03-21

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

Performance scores

Aim53
Positioning39
Utility24

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLWTWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +2.4pp headshot accuracy · +67ms 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

  • 221 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 652ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 643ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

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 (+1.8 against its own average).

Aim5.3
Utility2.4
Positioning3.9
Opening Duels0.0

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 33% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim5.3
Positioning3.9
Utility2.4
Mechanics6.8
Opening Duels0.4
Win Impact5.6

Composite 4.4/10 (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+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time625ms−6ms
first ⅓ avg 631ms → last ⅓ avg 625ms
Headshot accuracy16.8%−1.7%
first ⅓ avg 18.5% → last ⅓ avg 16.8%

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

0.08Best match rating · 15–15 · mirage, 3 May
45%Best headshot accuracy · 7–16 · vertigo, 21 Mar
398msFastest reaction time · 7–13 · mirage, 11 Sept
13–1Biggest win · nuke, 3 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
26In matches decided by ≤2 rounds
33Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB23111248%-0.03
overpassB168850%-0.03
nukeB157847%-0.04
vertigoB115645%-0.02
anubisA85363%-0.03
ancientB84450%-0.03
infernoD72529%-0.05
cacheD61517%-0.03
tuscan32167%-0.05
dust221150%-0.02
mills1010%-0.01

Across the last 100 tracked matches.

Skill profile

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

17.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
39.1%Spray accuracy
80.6%Counter-strafing
11.8°Preaim
639msReaction time
13.9%T opening success
33.1%CT opening success
0.50Enemies flashed / flash
1.7%Flash assists
6.68HE damage / grenade
0.95Flashes / 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 0.9532 — 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 13.8647% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.017%22 May
mirage13–9-0.078%6 Mar
mirage15–15-0.0615%4 Mar
nuke13–1-0.0620%3 Mar
anubis10–13-0.0615%3 Mar
nuke8–6-0.0225%7 Dec
nuke8–13-0.0917%27 Nov
mirage8–13-0.0922%15 Nov
mirage10–13-0.0916%2 Aug
dust22–7-0.0621%2 Aug
nuke7–13-0.0433%9 Jul
mirage13–50.0322%8 Jul
mills3–13-0.0116%8 Jul
dust27–00.020%8 Jul
overpass13–10-0.0315%8 Jul
nuke8–13-0.1018%8 Jul
mirage10–13-0.078%27 May
ancient13–80.0217%27 May
vertigo13–100.0014%27 May
nuke0–4-0.080%22 Apr
mirage13–80.0117%12 Feb
vertigo13–100.049%8 Feb
overpass2–13-0.0316%14 Nov
nuke13–8-0.0019%14 Nov
anubis13–10-0.0025%28 Sept
nuke3–13-0.0442%28 Sept
mirage13–10-0.0610%28 Sept
overpass13–50.0221%28 Sept
ancient13–10-0.0721%20 Sept
ancient7–13-0.1019%16 Sept
mirage13–9-0.0319%16 Sept
nuke13–9-0.0415%16 Sept
anubis10–130.0215%16 Sept
ancient13–10-0.0236%16 Sept
overpass13–16-0.0418%15 Sept
vertigo13–80.0619%15 Sept
nuke13–30.0035%15 Sept
nuke13–80.0318%15 Sept
mirage13–50.0315%15 Sept
overpass13–8-0.0032%15 Sept
vertigo4–13-0.0115%14 Sept
ancient13–160.0317%14 Sept
anubis13–7-0.0413%13 Sept
vertigo6–13-0.0315%13 Sept
overpass13–60.0613%12 Sept
nuke6–13-0.1118%11 Sept
vertigo11–13-0.0112%11 Sept
anubis14–16-0.0418%11 Sept
mirage7–13-0.0612%11 Sept
overpass2–13-0.0219%11 Sept
mirage13–80.0519%10 Sept
mirage13–11-0.0912%6 Sept
overpass2–13-0.083%6 Sept
overpass9–13-0.038%5 Sept
overpass1–13-0.0724%4 Sept
anubis13–7-0.0319%4 Sept
ancient15–150.0411%4 Sept
mirage13–3-0.0412%4 Sept
ancient13–10-0.0815%4 Sept
overpass10–13-0.068%4 Sept
vertigo13–6-0.0610%4 Sept
anubis13–10-0.0419%4 Sept
ancient4–13-0.0520%4 Sept
mirage8–13-0.048%3 Sept
overpass13–3-0.104%3 Sept
anubis13–7-0.0217%3 Sept
overpass9–13-0.069%2 Sept
nuke13–40.0010%1 Sept
inferno13–7-0.0616%1 Sept
inferno8–13-0.090%1 Sept
inferno8–16-0.016%24 Aug
overpass16–40.037%24 Aug
overpass16–110.0117%17 Aug
cache2–70.0732%17 Aug
inferno1–6-0.014%17 Aug
nuke14–16-0.0614%14 Aug
overpass16–9-0.0013%14 Aug
mirage7–16-0.038%13 Aug
cache14–16-0.039%13 Aug
vertigo15–150.0129%17 Jul
nuke15–15-0.0530%17 Jul
inferno16–13-0.0526%4 Jun
vertigo4–16-0.1023%30 May
cache10–160.0127%28 May
mirage16–10-0.0617%28 May
mirage9–16-0.0810%5 May
cache16–7-0.0520%5 May
mirage14–16-0.0724%3 May
mirage15–150.0824%3 May
tuscan9–16-0.0238%2 May
cache9–16-0.0517%28 Apr
inferno10–16-0.0727%26 Apr
vertigo16–11-0.0314%4 Apr
mirage15–150.0219%4 Apr
tuscan16–11-0.0717%31 Mar
cache9–16-0.1421%30 Mar
tuscan16–7-0.0719%30 Mar
inferno14–16-0.0523%23 Mar
vertigo7–16-0.0845%21 Mar
mirage16–9-0.087%21 Mar

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 →