ROBE

ROBE — CS2 Stats

76561198886189878[U:1:925924150]Steam profile ↗✓ No bans

445Tracked matches37%Win rate2020Tracked since
1,533Hours in CS11Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating20,556Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#76668 of 261679 tracked
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 20,556 -1,508 19 Sept – 14 Nov · 22 days played
20,55623,674peak 23,67419 Sept14 Nov
24,083Peak Premier in tracked matches
1,367Highest Faceit ELO seen on CSDB
27Days played since 2026-09-19

Faceit ELO

  • At peak — 1,367
  • Next: Level 8 at 1,531 — 164 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 3,118 below peak (23,674)
  • Next: Red band at 25,000 — 4,444 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.9%46.9%49.3%7.4% short
Shot accuracy14.7%13.0%13.3%above
Kill/death ratio1.011.081.120.12 short
Match win rate46.7%46.7%48.5%1.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGROBEPREMIER20,556 · Pink bandPEAK ELO1,367csdb.gg/stats

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Performance scores

Aim72
Positioning37
Utility52

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateLLLWLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · +4.3pp headshot accuracy · −11ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 624ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 27%
  • Avg reaction 557ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.2
Utility5.2
Positioning3.7
Opening Duels0.0
Clutch3.0

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Aim7.2
Positioning3.7
Utility5.2
Mechanics5.6
Opening Duels0.0
Win Impact0.6

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time539ms−15ms
first ⅓ avg 554ms → last ⅓ avg 539ms
Headshot accuracy21.5%+2.6%
first ⅓ avg 18.9% → last ⅓ avg 21.5%

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

0.17Best match rating · 13–4 · nuke, 27 Sept →
45%Best headshot accuracy · 13–8 · cache, 7 Oct →
383msFastest reaction time · 4–13 · inferno, 24 Sept →
13–1Biggest win · cache, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
9–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 58% over 19dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.02
nukeA1911–858%0.01
anubisB136–746%-0.00
infernoB126–650%0.00
ancientA116–555%-0.01
dust2D93–633%-0.02
cacheB84–450%-0.02
vertigo—31–233%0.08
office—10–10%0.07
overpass—10–10%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,618Lifetime kills
1.01K/D
2,353Matches
46.7%Match win rate
41.9%Headshot %
14.7%Shot accuracy · Top 50% of Pink band
6,151MVPs
867Hours (in match)
2,393Bombs planted
555Bombs defused

Most-used weapons

Lifetime map wins

2,116nuke
1,969inferno
1,674dust2
881train
880office
613vertigo
446lake
301cbble

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

Faceit stats

Combat

94Matches
57%Win rate
1.27Avg K/D
83.7ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3352%1.3116.9
Nuke1856%1.4118.2
Dust21765%1.2418.3
Anubis1267%1.1414.5
Inferno450%0.8813.0
Ancient367%1.1710.3
Cache2100%1.8017.0
Overpass250%1.2817.0

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.

22.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
31.4%Spray accuracy
75.0%Counter-strafing
8.3°Preaim
549msReaction time
27.8%T opening success
26.5%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
10.85HE damage / grenade
9.65Flashes / 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

    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 27.7512% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.119%14 Nov →
nuke14–16-0.0627%14 Nov →
cache9–13-0.0513%14 Nov →
mirage13–110.0339%13 Nov →
nuke4–13-0.0636%9 Nov →
anubis8–13-0.0635%8 Nov →
anubis7–13-0.0910%8 Nov →
mirage9–13-0.0341%3 Nov →
mirage6–13-0.0721%1 Nov →
dust24–13-0.0935%1 Nov →
mirage9–13-0.0327%1 Nov →
mirage13–70.0718%31 Oct →
cache11–13-0.0710%31 Oct →
dust216–120.0527%31 Oct →
ancient13–60.0122%31 Oct →
ancient7–13-0.0433%29 Oct →
nuke13–40.0115%28 Oct →
mirage13–60.0718%28 Oct →
inferno6–13-0.0432%28 Oct →
nuke10–13-0.0121%27 Oct →
inferno13–6-0.0219%27 Oct →
mirage13–40.1130%26 Oct →
dust27–13-0.0230%26 Oct →
nuke12–16-0.0017%25 Oct →
inferno8–13-0.0219%25 Oct →
anubis13–70.036%25 Oct →
mirage13–40.010%25 Oct →
anubis10–130.0122%25 Oct →
mirage13–11-0.0212%25 Oct →
ancient3–13-0.0520%25 Oct →
ancient13–110.1022%23 Oct →
mirage10–13-0.0314%23 Oct →
inferno13–11-0.007%23 Oct →
mirage13–60.0521%23 Oct →
mirage12–120.1028%18 Oct →
mirage13–110.0415%7 Oct →
cache13–8-0.0345%7 Oct →
dust23–13-0.0419%7 Oct →
nuke13–20.0727%7 Oct →
vertigo14–160.0521%6 Oct →
mirage13–30.0729%6 Oct →
anubis13–40.0323%6 Oct →
cache13–10.0336%5 Oct →
nuke13–60.0317%5 Oct →
anubis13–8-0.0019%5 Oct →
nuke7–13-0.0410%4 Oct →
anubis4–13-0.0810%4 Oct →
ancient13–7-0.0012%4 Oct →
cache13–80.0313%4 Oct →
nuke9–13-0.0523%3 Oct →
nuke11–13-0.0116%3 Oct →
nuke5–13-0.0121%3 Oct →
anubis5–13-0.0113%2 Oct →
ancient16–140.0513%2 Oct →
mirage7–130.1030%2 Oct →
inferno13–90.0622%2 Oct →
inferno8–130.0032%2 Oct →
anubis13–90.0338%2 Oct →
nuke13–100.0435%27 Sept →
inferno13–160.0420%27 Sept →
nuke13–40.1721%27 Sept →
nuke13–90.0238%27 Sept →
mirage7–130.0223%27 Sept →
ancient16–14-0.0420%27 Sept →
cache8–13-0.0111%26 Sept →
dust213–10-0.0219%26 Sept →
mirage8–13-0.0113%26 Sept →
nuke16–12-0.0623%26 Sept →
dust25–13-0.0210%26 Sept →
ancient13–8-0.0221%26 Sept →
anubis16–120.029%26 Sept →
nuke13–50.0620%26 Sept →
cache9–13-0.0819%26 Sept →
nuke13–90.0714%25 Sept →
dust21–13-0.0429%25 Sept →
cache16–13-0.0121%25 Sept →
nuke13–9-0.0313%25 Sept →
office11–130.0723%24 Sept →
mirage16–120.0121%24 Sept →
dust26–13-0.0014%24 Sept →
inferno4–13-0.0715%24 Sept →
vertigo13–60.1223%24 Sept →
ancient15–150.0423%23 Sept →
inferno13–90.0916%23 Sept →
inferno9–130.0118%23 Sept →
mirage6–13-0.0131%23 Sept →
nuke13–10-0.0321%23 Sept →
mirage13–110.0115%20 Sept →
anubis13–70.0321%20 Sept →
mirage13–160.045%20 Sept →
ancient15–15-0.0127%20 Sept →
mirage15–15-0.0616%19 Sept →
dust213–7-0.0332%19 Sept →
anubis6–130.0317%19 Sept →
inferno13–11-0.056%19 Sept →
inferno13–50.0515%19 Sept →
mirage10–13-0.0611%19 Sept →
anubis10–130.0522%19 Sept →
overpass10–130.0623%19 Sept →
vertigo5–130.0828%19 Sept →

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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