Rokka8

Rokka8 — CS2 Stats

FI76561198057774221[U:1:97508493]Steam profile ↗✓ No bans

810Tracked matches29%Win rate2024Tracked since
2,849Hours in CS61Hrs last 2 wks
CSDB Rating1.7 LearningPositional Player
Premier CS Rating3,314Grey band · top ~85.9% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+657Premier CS Rating · 2,657 → 3,314
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. 16 days played since 4 Sep 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,314 +2,314 4 Sept23 Sept · 16 days played
1,0003,695peak 3,6954 Sept23 Sept
3,695Peak Premier in tracked matches
16Days played since 2026-09-04

Premier CS Rating

  • 381 below peak (3,695)
  • Next: Light Blue band at 5,000 1,686 to go

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 1 among CSDB-tracked players (n=2,156), 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 1 medianLevel 2 medianvs Level 2
Headshot rate24.5%40.9%41.3%16.8% short
Shot accuracy1.7%14.2%12.7%11.0% short
Kill/death ratio0.550.950.950.40 short
Match win rate31.9%42.1%42.5%10.7% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRokka8FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER3,314 · Grey 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

Aim18
Positioning29
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateLTWWLWWTLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +1.6pp headshot accuracy · −66ms 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

  • 221 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 867ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 791ms

Last 20

  • 5132 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 824ms

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 (+1.6 against its own average).

Aim1.8
Utility2.0
Positioning2.9
Opening Duels0.0
Clutch0.2

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

jL

Plays most like jL 74% 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. 833ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.8
Positioning2.9
Utility2.0
Mechanics3.0
Opening Duels0.0
Win Impact0.0

Composite 1.7/10 (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-0.06−0.04
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time821ms−39ms
first ⅓ avg 860ms → last ⅓ avg 821ms
Headshot accuracy8.3%−0.8%
first ⅓ avg 9.2% → last ⅓ avg 8.3%

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

0.13Best match rating · 13–5 · nuke, 7 Sept
29%Best headshot accuracy · 6–13 · mirage, 6 Sept
492msFastest reaction time · 11–13 · vertigo, 23 Sept
13–2Biggest win · cache, 18 Sept

Across the last 100 tracked matches.

Highlights

10Longest win streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 69% over 16ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB20101050%-0.04
anubisB189950%-0.05
nukeB179853%-0.03
dust2S1611569%-0.03
ancientC114736%-0.03
mirageC94544%-0.06
cacheS64267%-0.01
vertigo3030%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,373Lifetime kills
0.55K/D
3,422Matches
31.9%Match win rate
24.5%Headshot %
1.7%Shot accuracy
2,696MVPs
1,268Hours (in match)
1,770Bombs planted
532Bombs defused

Most-used weapons

Lifetime map wins

5,526dust2
3,732nuke
3,696inferno
917office
616train
260vertigo
100italy
25assault

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

Faceit stats

Combat

153Matches
37%Win rate
0.48Avg K/D
44.7ADR
31%Headshot %

Clutches & streaks

21%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust25343%0.478.2
Nuke3633%0.488.5
Ancient2124%0.498.0
Inferno2035%0.427.5
Mirage944%0.406.3
Anubis757%0.7611.1
Overpass520%0.478.0
Cache20%0.7511.0

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.

9.6%Headshot accuracy
37.7%Accuracy (enemy spotted)
34.9%Spray accuracy
63.3%Counter-strafing
13.3°Preaim
833msReaction time
29.3%T opening success
26.1%CT opening success
0.28Enemies flashed / flash
3.3%Flash assists
4.44HE damage / grenade
0.90Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3438° — above the 12° mark we flag

    Aim Training
  2. 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 9.5612% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 832.7753ms — above the 700ms mark we flag

    Aim Training
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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo6–13-0.070%23 Sept
anubis15–15-0.0111%23 Sept
nuke13–10-0.0421%23 Sept
inferno13–5-0.088%23 Sept
ancient5–13-0.053%23 Sept
inferno13–6-0.0721%23 Sept
dust213–50.0320%23 Sept
vertigo12–12-0.0719%23 Sept
vertigo11–13-0.150%23 Sept
anubis5–13-0.099%22 Sept
nuke6–13-0.130%22 Sept
inferno9–13-0.060%22 Sept
mirage8–13-0.0911%22 Sept
inferno6–130.017%22 Sept
anubis11–13-0.0610%21 Sept
ancient1–13-0.038%21 Sept
dust213–7-0.0718%21 Sept
mirage10–13-0.0718%21 Sept
inferno2–13-0.1020%21 Sept
nuke3–13-0.084%21 Sept
ancient9–13-0.076%21 Sept
inferno6–130.0012%19 Sept
ancient3–13-0.0910%19 Sept
cache5–00.127%19 Sept
mirage4–11-0.150%18 Sept
anubis1–13-0.090%18 Sept
ancient13–9-0.013%18 Sept
anubis7–13-0.023%18 Sept
anubis13–4-0.067%18 Sept
anubis3–13-0.1110%18 Sept
anubis13–10-0.060%18 Sept
nuke13–3-0.0510%18 Sept
inferno13–9-0.060%18 Sept
anubis13–3-0.110%18 Sept
cache13–10-0.0814%18 Sept
cache13–2-0.040%18 Sept
ancient13–80.014%18 Sept
anubis13–8-0.070%18 Sept
nuke13–9-0.0311%18 Sept
inferno13–7-0.0415%17 Sept
anubis8–13-0.100%17 Sept
anubis13–7-0.0110%17 Sept
dust213–10-0.0712%17 Sept
anubis13–70.050%17 Sept
mirage13–11-0.078%17 Sept
nuke13–2-0.1013%17 Sept
inferno13–2-0.050%17 Sept
anubis13–2-0.0710%17 Sept
dust216–14-0.0414%16 Sept
mirage13–70.025%16 Sept
inferno13–60.020%16 Sept
dust23–130.0118%16 Sept
dust212–160.0211%16 Sept
dust213–110.086%15 Sept
nuke3–13-0.0213%15 Sept
dust213–3-0.0214%15 Sept
dust213–3-0.120%15 Sept
inferno10–13-0.086%15 Sept
dust216–14-0.0518%15 Sept
dust25–13-0.086%15 Sept
anubis13–11-0.0411%14 Sept
nuke16–14-0.063%14 Sept
dust210–13-0.0222%14 Sept
mirage13–9-0.069%14 Sept
inferno8–13-0.0311%11 Sept
nuke6–13-0.096%11 Sept
inferno13–60.000%11 Sept
inferno4–13-0.0311%10 Sept
nuke13–60.0411%10 Sept
mirage13–11-0.0611%10 Sept
cache16–140.015%9 Sept
ancient5–13-0.075%8 Sept
nuke15–15-0.0213%8 Sept
inferno3–13-0.096%8 Sept
anubis14–16-0.0311%7 Sept
inferno13–100.010%7 Sept
nuke8–13-0.0312%7 Sept
cache11–130.005%7 Sept
nuke13–50.133%7 Sept
ancient11–13-0.017%7 Sept
nuke5–13-0.0110%7 Sept
nuke11–3-0.039%7 Sept
inferno13–3-0.010%7 Sept
dust213–8-0.036%7 Sept
nuke11–13-0.060%7 Sept
nuke13–90.026%7 Sept
ancient13–50.0527%6 Sept
anubis13–70.0013%6 Sept
dust213–5-0.028%6 Sept
mirage6–13-0.0129%6 Sept
inferno13–7-0.0314%6 Sept
cache5–13-0.0410%4 Sept
inferno3–13-0.1211%4 Sept
anubis0–13-0.0818%4 Sept
inferno7–13-0.0111%4 Sept
dust213–5-0.0114%4 Sept
ancient6–13-0.095%4 Sept
ancient13–60.000%4 Sept
dust25–13-0.0211%4 Sept
mirage10–130.013%4 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →