rolka@HMMMMMMMM

rolka@HMMMMMMMM — CS2 Stats

LT76561198007304329[U:1:47038601]Steam profile ↗✓ No bans

2,402Tracked matches63%Win rate2020Tracked since
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating19,450Top 50% of 175,286 CSDB-tracked playersPurple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#81756 of 223084 tracked
FaceitLevel 8 · 1,652 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 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.

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. 27 days played since 3 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,450 +4,450 3 Aug15 Sept · 20 days played
15,00019,450peak 19,4503 Aug15 Sept
19,450Peak Premier in tracked matches
1,652Highest Faceit ELO seen on CSDB
27Days played since 2026-08-03

Faceit ELO

  • At peak — 1,652
  • Next: Level 9 at 1,751 99 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-14
  • Level 7 first seen 2026-09-14

Premier CS Rating

  • At peak — 19,450
  • +2,723 over 30 days · improving
  • Next: Pink band at 20,000 550 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGrolka@HMMMMMMMMFACEITLevel 8 · 1,652 ELOSTANDINGTop 31.2% of rankedPREMIER19,450 · Purple bandPEAK ELO1,652csdb.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

Aim68
Positioning51
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY474310Last 10047%Win rateLWWWLWTLLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +0.6pp headshot accuracy · −3ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 26%
  • Avg reaction 596ms

Last 20

  • 884 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 598ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+3.1 against its own average).

Aim6.8
Utility3.8
Positioning5.1
Opening Duels4.1
Clutch8.4

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.8
Positioning5.1
Utility3.8
Mechanics5.4
Opening Duels3.2
Win Impact9.3

Composite 5.7/10 (Solid), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time587ms−62ms
first ⅓ avg 649ms → last ⅓ avg 587ms
Headshot accuracy24.3%+0.9%
first ⅓ avg 23.4% → last ⅓ avg 24.3%

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 · 9–4 · poseidon, 20 Aug
41%Best headshot accuracy · 9–13 · cache, 10 Aug
414msFastest reaction time · 4–8 · cache, 27 Aug
13–1Biggest win · inferno, 29 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
511In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 82% over 11poseidonWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheS1711665%-0.03
anubisD1651131%-0.03
poseidonD1321115%-0.06
infernoS119282%-0.01
ancientA116555%-0.01
nukeS118373%-0.02
officeD51420%0.00
shelter42250%-0.03
dust23030%-0.02
train32167%-0.04
vertigo21150%-0.00
fachwerk2020%-0.04
boulder2020%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

718Matches
56%Win rate
0.73Avg K/D
58.7ADR
46%Headshot %

Clutches & streaks

62%1v1 clutch win
13%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis7149%0.8011.7
Inferno3047%0.7011.2
Nuke3037%0.6210.3
Overpass1638%0.5410.3
Train838%0.7911.4
Ancient743%0.5310.6
Mirage450%0.638.5
Vertigo30%0.8413.3

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.

22.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
36.6%Spray accuracy
74.2%Counter-strafing
9.4°Preaim
574msReaction time
31.4%T opening success
54.4%CT opening success
0.41Enemies flashed / flash
3.6%Flash assists
7.53HE damage / grenade
4.22Flashes / 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 0.4086 — below the 0.5 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 31.3584% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0414%17 Sept
anubis13–9-0.0517%17 Sept
inferno13–8-0.0227%15 Sept
cache13–9-0.1314%15 Sept
anubis9–13-0.0529%15 Sept
cache13–80.0226%12 Sept
poseidon8–80.0236%12 Sept
poseidon4–9-0.1324%12 Sept
poseidon2–9-0.0840%12 Sept
poseidon6–9-0.0230%12 Sept
poseidon8–8-0.0832%12 Sept
poseidon8–8-0.0424%7 Sept
office12–120.0233%7 Sept
cache13–4-0.0936%6 Sept
ancient10–130.0221%6 Sept
nuke13–90.0120%6 Sept
anubis13–110.0321%6 Sept
office2–130.0631%3 Sept
office10–13-0.0113%3 Sept
office4–0-0.0020%3 Sept
nuke9–2-0.0220%3 Sept
office2–13-0.0521%1 Sept
inferno13–1-0.0034%29 Aug
cache13–11-0.0125%27 Aug
cache13–11-0.039%27 Aug
cache4–8-0.0717%27 Aug
anubis11–13-0.0022%27 Aug
inferno13–10.0237%27 Aug
nuke13–2-0.0117%27 Aug
ancient13–4-0.0321%27 Aug
cache13–7-0.0825%24 Aug
dust25–13-0.0813%24 Aug
poseidon9–3-0.0233%20 Aug
poseidon9–40.1327%20 Aug
poseidon6–9-0.0826%20 Aug
poseidon3–9-0.0920%20 Aug
poseidon8–8-0.117%20 Aug
poseidon1–9-0.1618%20 Aug
poseidon1–9-0.1128%20 Aug
vertigo12–12-0.0033%19 Aug
shelter13–80.0320%19 Aug
fachwerk10–13-0.0030%19 Aug
boulder12–120.0119%18 Aug
boulder8–13-0.0222%18 Aug
shelter11–13-0.0513%18 Aug
shelter6–13-0.0621%18 Aug
ancient13–10-0.0415%17 Aug
anubis11–13-0.0623%17 Aug
inferno7–13-0.0620%17 Aug
cache4–13-0.0712%17 Aug
fachwerk5–13-0.0819%17 Aug
ancient13–7-0.0236%16 Aug
anubis10–13-0.0619%16 Aug
shelter13–8-0.067%16 Aug
train13–9-0.0618%16 Aug
cache13–30.0129%16 Aug
inferno13–4-0.0112%16 Aug
anubis14–16-0.0717%15 Aug
dust214–160.0123%15 Aug
inferno13–80.0320%15 Aug
cache13–50.0233%13 Aug
cache13–50.0036%13 Aug
ancient11–13-0.0115%13 Aug
dust213–16-0.0025%13 Aug
train13–8-0.0128%12 Aug
train10–13-0.0615%12 Aug
cache12–12-0.0233%11 Aug
cache10–13-0.0334%11 Aug
anubis2–13-0.0740%10 Aug
anubis13–6-0.0215%10 Aug
nuke13–4-0.0437%10 Aug
ancient13–16-0.0321%10 Aug
cache9–13-0.0041%10 Aug
anubis11–13-0.0027%10 Aug
nuke13–80.0325%9 Aug
nuke14–160.0220%9 Aug
anubis14–16-0.0117%9 Aug
inferno9–13-0.0620%9 Aug
ancient13–70.0525%8 Aug
inferno13–4-0.0116%8 Aug
cache13–50.0034%8 Aug
ancient13–50.0322%8 Aug
anubis13–16-0.0413%8 Aug
nuke13–11-0.0713%7 Aug
cache15–15-0.0318%7 Aug
ancient7–13-0.0612%7 Aug
ancient10–13-0.0429%7 Aug
ancient13–8-0.0120%7 Aug
inferno13–5-0.0129%6 Aug
anubis13–2-0.0413%6 Aug
nuke13–3-0.0422%6 Aug
nuke15–15-0.069%5 Aug
inferno16–12-0.0432%4 Aug
cache13–3-0.0216%4 Aug
anubis13–6-0.0527%4 Aug
nuke13–9-0.0122%4 Aug
vertigo8–1-0.0024%4 Aug
anubis11–13-0.0127%3 Aug
nuke7–13-0.0122%3 Aug
inferno16–140.0828%3 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 →