TimoRokkari

TimoRokkari — CS2 Stats

76561198780240715[U:1:819974987]Steam profile ↗✓ No bans

359Tracked matches40%Win rate2025Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating3,020Grey band · top ~87.2% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 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: 3,020 +501 2 Oct – 24 Oct · 6 days played
2,5193,399peak 3,3992 Oct24 Oct
3,519Peak Premier in tracked matches
44Days played since 2026-08-04

Premier CS Rating

  • 379 below peak (3,399)
  • Next: Light Blue band at 5,000 — 1,980 to go

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

Share this profile

CSDB.GGTimoRokkariPREMIER3,020 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning40
Utility24

0–100 skill scores via Leetify.

Recent form

COLD44–46–10Last 10044%Win rateWTWWTTLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · −95ms 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

  • 3–0–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 522ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 20

  • 7–8–5 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

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 (+1.9 against its own average).

Aim5.2
Utility2.4
Positioning4.0
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

iM

Plays most like iM 96% 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

Reaction time. 574ms 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

Aim5.2
Positioning4.0
Utility2.4
Mechanics6.0
Opening Duels0.3
Win Impact1.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.04
first ⅓ avg -0.06 → last ⅓ avg -0.02
Reaction time602ms−29ms
first ⅓ avg 631ms → last ⅓ avg 602ms
Headshot accuracy12.8%−0.1%
first ⅓ avg 12.9% → last ⅓ avg 12.8%

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

0.25Best match rating · 9–0 · debris, 24 Oct →
50%Best headshot accuracy · 3–0 · office, 31 Oct →
328msFastest reaction time · 3–0 · office, 31 Oct →
13–1Biggest win · overpass, 31 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
3–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 100% over 6nukeWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
cacheC167–944%-0.02
dust2B115–645%-0.03
mirageB115–645%-0.03
infernoB105–550%0.00
ancientD92–722%-0.03
officeC83–538%-0.03
nukeD70–70%-0.07
anubisA74–357%-0.03
trainC73–443%-0.06
overpassS66–0100%-0.01
debris—32–167%0.11
vertigo—32–167%0.01
poseidon—10–10%-0.16
eldorado—10–10%-0.16

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.0%Headshot accuracy
30.4%Accuracy (enemy spotted)
34.2%Spray accuracy
76.9%Counter-strafing
10.0°Preaim
574msReaction time
32.1%T opening success
27.0%CT opening success
0.33Enemies flashed / flash
4.6%Flash assists
7.75HE damage / grenade
2.96Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0002% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3255 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.0946% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–1-0.0111%31 Oct →
office12–12-0.0720%31 Oct →
office13–11-0.127%31 Oct →
office3–00.1250%31 Oct →
office12–120.0121%30 Oct →
office12–12-0.032%29 Oct →
office3–13-0.078%28 Oct →
nuke5–13-0.150%25 Oct →
inferno11–13-0.066%25 Oct →
ancient10–130.018%24 Oct →
debris9–00.258%24 Oct →
overpass9–1-0.047%24 Oct →
dust213–10-0.0218%23 Oct →
cache12–12-0.1016%22 Oct →
cache4–13-0.096%22 Oct →
cache8–13-0.0613%22 Oct →
cache0–7-0.040%22 Oct →
cache13–70.0913%21 Oct →
cache12–12-0.0623%20 Oct →
ancient9–13-0.0819%20 Oct →
poseidon1–9-0.1612%19 Oct →
inferno9–30.0816%19 Oct →
inferno9–40.079%18 Oct →
debris2–9-0.0725%18 Oct →
ancient6–13-0.0613%9 Oct →
dust211–130.1611%9 Oct →
inferno4–13-0.1016%8 Oct →
anubis9–13-0.0117%8 Oct →
train6–13-0.023%8 Oct →
train13–7-0.0710%7 Oct →
ancient6–130.0410%3 Oct →
dust213–4-0.0210%3 Oct →
cache13–70.0915%3 Oct →
inferno12–160.0112%3 Oct →
mirage13–6-0.023%3 Oct →
cache13–3-0.0017%2 Oct →
inferno13–10-0.0512%2 Oct →
dust213–10-0.0222%2 Oct →
anubis13–50.0411%2 Oct →
dust216–13-0.0212%2 Oct →
cache13–60.1612%2 Oct →
inferno9–30.1017%2 Oct →
mirage13–70.1815%2 Oct →
cache4–120.0214%1 Oct →
mirage13–70.0919%29 Sept →
vertigo13–10-0.0416%29 Sept →
dust213–5-0.0813%28 Sept →
vertigo13–90.1212%27 Sept →
nuke4–9-0.1144%24 Sept →
vertigo2–13-0.0310%24 Sept →
overpass13–30.104%19 Sept →
nuke5–13-0.0336%19 Sept →
anubis10–13-0.067%18 Sept →
anubis13–3-0.037%18 Sept →
mirage12–12-0.0619%18 Sept →
mirage10–130.0114%13 Sept →
dust27–13-0.0220%13 Sept →
ancient13–20.0913%13 Sept →
inferno9–20.1316%13 Sept →
nuke5–13-0.0213%12 Sept →
mirage6–13-0.140%11 Sept →
nuke7–13-0.105%11 Sept →
overpass13–5-0.0019%11 Sept →
inferno9–13-0.0424%11 Sept →
ancient3–13-0.0817%11 Sept →
ancient4–13-0.0616%6 Sept →
office13–1-0.0114%5 Sept →
mirage2–13-0.1023%4 Sept →
ancient6–13-0.0912%4 Sept →
mirage13–11-0.094%4 Sept →
cache7–13-0.098%3 Sept →
office11–13-0.057%3 Sept →
inferno12–12-0.1120%1 Sept →
overpass13–2-0.0511%1 Sept →
mirage12–12-0.0312%29 Aug →
dust23–13-0.016%28 Aug →
anubis2–13-0.1121%27 Aug →
debris9–50.1520%27 Aug →
eldorado1–9-0.167%27 Aug →
cache12–12-0.0833%27 Aug →
cache10–13-0.068%27 Aug →
cache13–3-0.0117%26 Aug →
mirage8–13-0.1214%21 Aug →
ancient9–1-0.0219%21 Aug →
dust26–13-0.077%21 Aug →
train6–13-0.0613%20 Aug →
nuke3–13-0.0313%18 Aug →
dust25–13-0.0915%18 Aug →
cache13–9-0.0510%15 Aug →
train13–9-0.0910%14 Aug →
nuke12–12-0.035%14 Aug →
dust21–13-0.1012%14 Aug →
train7–13-0.043%14 Aug →
cache13–7-0.017%12 Aug →
overpass13–4-0.076%12 Aug →
train13–6-0.0711%12 Aug →
train2–13-0.0733%12 Aug →
anubis13–9-0.0410%7 Aug →
mirage13–11-0.0812%7 Aug →
anubis13–5-0.0417%4 Aug →

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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