r0gers

r0gers — CS2 Stats

US76561198166303345[U:1:206037617]Steam profile ↗✓ No bans

2,165Tracked matches59%Win rate2020Tracked since
6,179Hours in CS12Hrs last 2 wks
CSDB Rating7.6 StrongAll-Rounder
Premier CS Rating19,256Top 50% of 205,052 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#92981 of 252248 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 19,256 -624 11 Aug – 11 Oct · 13 days played
19,25620,550peak 20,55011 Aug11 Oct
20,884Peak Premier in tracked matches
47Days played since 2026-08-11

Premier CS Rating

  • 1,294 below peak (20,550)
  • -82 over 30 days · steady
  • Next: Pink band at 20,000 — 744 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches23——
Win rate61%——
K/D0.65——
Headshot %63%——

Measured 18 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,290), 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 4 medianLevel 5 medianvs Level 5
Headshot rate55.0%42.7%43.7%above
Shot accuracy21.3%11.3%12.0%above
Kill/death ratio1.410.991.02above
Match win rate47.4%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGr0gersFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,256 · Purple 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

Aim88
Positioning75
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWWLWLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · +14ms 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 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 519ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 512ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility6.3
Positioning7.5
Opening Duels7.5

Sharp aimerEffective flashes

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 87% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 65% T opening-duel success — entries that actually open the round.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

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

Aim8.8
Positioning7.5
Utility6.3
Mechanics6.2
Opening Duels8.3
Win Impact7.9

Composite 7.6/10 (Strong), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time509ms−26ms
first ⅓ avg 534ms → last ⅓ avg 509ms
Headshot accuracy23.2%−2.3%
first ⅓ avg 25.5% → last ⅓ avg 23.2%

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

0.22Best match rating · 13–8 · dust2, 8 Sept →
46%Best headshot accuracy · 2–13 · mirage, 6 Sept →
391msFastest reaction time · 13–7 · mirage, 5 Oct →
13–2Biggest win · train, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
13–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 62% over 13ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%0.04
mirageA169–756%0.02
cacheA138–562%0.05
infernoB137–654%0.05
ancientD113–827%0.04
trainB105–550%0.05
nukeA53–260%0.04
anubis—42–250%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

339,569Lifetime kills
1.41K/D · Top 10% of Level 4 players
7,200Matches
47.4%Match win rate · Top 25% of Level 4 players
55.0%Headshot % · Top 10% of Level 4 players
21.3%Shot accuracy · Top 5% of Level 4 players
23,084MVPs
3,568Hours (in match)
9,523Bombs planted
5,543Bombs defused

Most-used weapons

AK-47105,934
AWP45,713
Glock-1820,091
Galil AR14,739
SG 5538,463
P2505,497
FAMAS4,856

Lifetime map wins

14,338inferno
13,726dust2
7,134train
4,968nuke
3,355cbble
2,972vertigo
85lake
37safehouse

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

Faceit stats

Combat

199Matches
49%Win rate
1.19Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

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.

23.3%Headshot accuracy
38.5%Accuracy (enemy spotted)
40.2%Spray accuracy
78.0%Counter-strafing
8.5°Preaim
508msReaction time
64.8%T opening success
61.7%CT opening success
0.78Enemies flashed / flash
8.1%Flash assists
11.63HE damage / grenade
10.47Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.0530%11 Oct →
dust213–70.0433%11 Oct →
cache8–13-0.0520%11 Oct →
nuke16–140.0327%11 Oct →
ancient8–13-0.0422%10 Oct →
dust22–13-0.0910%10 Oct →
dust210–13-0.0221%9 Oct →
train13–100.0919%8 Oct →
mirage13–60.0328%7 Oct →
mirage13–70.0022%5 Oct →
dust210–130.0432%4 Oct →
train13–100.0635%4 Oct →
dust213–11-0.0628%3 Oct →
cache13–110.0222%29 Sept →
inferno13–60.0517%28 Sept →
mirage0–13-0.1118%28 Sept →
train13–80.0623%21 Sept →
ancient6–130.0919%20 Sept →
train5–13-0.0517%19 Sept →
mirage7–13-0.0138%19 Sept →
dust213–50.0722%19 Sept →
ancient13–90.0414%19 Sept →
nuke12–120.1022%18 Sept →
mirage8–130.0114%17 Sept →
mirage10–130.0828%16 Sept →
inferno13–110.0714%15 Sept →
mirage13–100.0421%15 Sept →
ancient6–130.0120%15 Sept →
train13–70.1043%15 Sept →
dust213–9-0.0114%15 Sept →
mirage8–130.0221%14 Sept →
cache8–130.0733%11 Sept →
dust29–130.0418%10 Sept →
ancient7–130.0420%10 Sept →
inferno10–130.0332%9 Sept →
dust27–130.0325%9 Sept →
nuke13–110.0322%8 Sept →
dust213–80.2227%8 Sept →
dust213–100.0536%7 Sept →
ancient13–80.0613%7 Sept →
dust25–20.056%7 Sept →
inferno9–130.0325%6 Sept →
cache13–70.1317%6 Sept →
mirage2–130.0146%6 Sept →
inferno13–90.0623%5 Sept →
mirage13–90.048%5 Sept →
dust213–110.0615%5 Sept →
ancient9–130.0525%4 Sept →
dust212–120.0121%4 Sept →
inferno5–130.0615%3 Sept →
anubis2–130.0327%3 Sept →
cache13–40.1829%2 Sept →
ancient5–130.0223%2 Sept →
dust213–40.0326%2 Sept →
inferno13–60.0512%1 Sept →
dust213–30.1637%1 Sept →
anubis13–40.0220%31 Aug →
dust211–130.0525%31 Aug →
cache13–40.0833%30 Aug →
inferno13–110.0712%29 Aug →
anubis13–11-0.0020%29 Aug →
train8–130.0120%29 Aug →
dust29–13-0.0140%29 Aug →
train13–20.1941%28 Aug →
dust23–13-0.0128%27 Aug →
cache13–70.1827%27 Aug →
nuke13–110.0221%23 Aug →
mirage13–100.0130%23 Aug →
ancient13–90.0923%23 Aug →
inferno5–13-0.0226%23 Aug →
dust213–50.0518%22 Aug →
cache7–130.0134%21 Aug →
mirage6–130.0643%21 Aug →
inferno11–130.0435%21 Aug →
dust213–110.0414%21 Aug →
mirage16–14-0.0241%20 Aug →
dust27–130.0829%20 Aug →
dust29–130.0730%19 Aug →
cache13–40.0420%19 Aug →
anubis9–130.0724%19 Aug →
dust213–60.0518%18 Aug →
ancient12–120.0620%18 Aug →
train4–130.0329%18 Aug →
dust213–110.0527%17 Aug →
mirage13–80.0623%16 Aug →
cache10–130.0423%16 Aug →
ancient9–130.0317%15 Aug →
cache13–11-0.0118%15 Aug →
train1–13-0.0520%15 Aug →
dust213–100.0316%14 Aug →
nuke11–13-0.0022%14 Aug →
inferno9–130.0322%14 Aug →
inferno13–30.0124%14 Aug →
dust213–9-0.0026%14 Aug →
mirage13–40.0438%13 Aug →
inferno13–90.1243%13 Aug →
train5–130.0729%13 Aug →
mirage13–80.008%12 Aug →
dust27–130.0424%12 Aug →
cache7–13-0.0724%11 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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