rMb

rMb — CS2 Stats

FI76561198040067141[U:1:79801413]Steam profile ↗✓ No bans

964Tracked matches47%Win rate2020Tracked since
5,275Hours in CS7Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating13,594Blue band · top ~35.8% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (14 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: 13,594 -2,445 12 Aug – 22 Oct · 13 days played
12,84416,039peak 16,03912 Aug22 Oct
16,139Peak Premier in tracked matches
28Days played since 2026-07-03

Premier CS Rating

  • 2,445 below peak (16,039)
  • -33 over 30 days · steady
  • Next: Purple band at 15,000 — 1,406 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.4%42.0%44.4%above
Shot accuracy15.4%9.6%11.9%above
Kill/death ratio1.270.981.03above
Match win rate47.1%43.8%45.2%above

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

Share this profile

CSDB.GGrMbPREMIER13,594 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning35
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY34–63–3Last 10034%Win rateWLWWLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +1.4pp headshot accuracy · +102ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 656ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 624ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 573ms

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 (+2.5 against its own average).

Aim6.8
Utility5.6
Positioning3.5
Opening Duels0.2
Clutch3.2

Strong CT-side opener

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 83% 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 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 39% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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
Positioning3.5
Utility5.6
Mechanics6.6
Opening Duels1.1
Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time570ms−78ms
first ⅓ avg 648ms → last ⅓ avg 570ms
Headshot accuracy20.0%−3.1%
first ⅓ avg 23.1% → last ⅓ avg 20.0%

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

0.11Best match rating · 16–12 · nuke, 31 Jul →
55%Best headshot accuracy · 5–13 · anubis, 13 Aug →
422msFastest reaction time · 4–13 · nuke, 12 Sept →
13–1Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 45% over 11cacheWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.02
mirageC166–1038%-0.02
cacheD164–1225%-0.02
infernoD123–925%-0.01
ancientD113–827%-0.02
nukeB115–645%0.00
anubisC94–544%-0.00
train—20–20%-0.07
shelter—11–0100%0.04
overpass—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

133,911Lifetime kills
1.27K/D · Top 10% of Blue band
5,811Matches
47.1%Match win rate · Top 25% of Blue band
48.4%Headshot % · Top 25% of Blue band
15.4%Shot accuracy · Top 25% of Blue band
17,132MVPs
2,545Hours (in match)
5,821Bombs planted
1,833Bombs defused

Most-used weapons

AK-4754,287
AWP15,191
P2503,128
FAMAS2,638
Tec-92,107

Lifetime map wins

21,944inferno
6,181nuke
3,075dust2
2,183train
1,606vertigo
799cbble
72italy
60office

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

Faceit stats

Combat

139Matches
48%Win rate
1.09Avg K/D
61.5ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2967%1.0413.2
Nuke633%0.7912.3
Mirage633%0.688.8
Ancient425%0.6412.5
Vertigo250%0.5611.5
Overpass20%0.439.0
Anubis250%0.9611.0
Cache250%0.406.5

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.

20.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
39.4%Spray accuracy
79.5%Counter-strafing
11.4°Preaim
567msReaction time
21.2%T opening success
38.9%CT opening success
0.52Enemies flashed / flash
6.6%Flash assists
6.98HE damage / grenade
11.90Flashes / 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

    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 21.1633% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–50.0316%22 Oct →
inferno11–13-0.0120%22 Oct →
ancient13–8-0.0124%22 Oct →
inferno13–20.0827%22 Oct →
anubis10–13-0.0433%12 Sept →
nuke4–13-0.0133%12 Sept →
mirage13–10.0628%12 Sept →
dust213–60.0520%12 Sept →
mirage13–8-0.0710%11 Sept →
anubis11–130.0415%11 Sept →
inferno13–20.0618%6 Sept →
dust25–13-0.1033%6 Sept →
mirage11–13-0.0621%6 Sept →
dust28–13-0.0032%6 Sept →
inferno13–2-0.0423%6 Sept →
anubis10–13-0.0016%30 Aug →
dust213–60.0220%30 Aug →
nuke2–13-0.0510%30 Aug →
mirage8–13-0.0321%30 Aug →
dust213–8-0.0319%29 Aug →
mirage14–16-0.0714%29 Aug →
mirage6–13-0.0632%29 Aug →
cache3–13-0.0829%29 Aug →
dust210–13-0.0513%29 Aug →
dust213–11-0.0311%29 Aug →
mirage4–13-0.0819%29 Aug →
ancient17–19-0.0617%28 Aug →
mirage13–10.0317%28 Aug →
cache13–11-0.0921%28 Aug →
anubis13–20.0113%28 Aug →
inferno3–13-0.125%27 Aug →
ancient6–13-0.0613%22 Aug →
dust20–13-0.1017%22 Aug →
inferno5–13-0.0319%22 Aug →
nuke8–13-0.0616%20 Aug →
inferno12–12-0.0229%20 Aug →
shelter13–100.0423%20 Aug →
mirage3–13-0.0713%20 Aug →
cache13–8-0.0217%20 Aug →
inferno6–130.0231%16 Aug →
cache2–13-0.0016%16 Aug →
dust29–13-0.0116%16 Aug →
ancient5–13-0.0420%16 Aug →
ancient9–13-0.0116%16 Aug →
anubis5–13-0.1155%13 Aug →
nuke13–5-0.0036%13 Aug →
dust25–13-0.0732%13 Aug →
inferno11–13-0.0537%13 Aug →
ancient3–13-0.0032%13 Aug →
cache6–13-0.0715%13 Aug →
inferno4–130.0524%13 Aug →
dust211–130.0719%13 Aug →
cache4–13-0.0118%13 Aug →
ancient3–13-0.0632%13 Aug →
dust27–130.0130%12 Aug →
mirage13–70.0125%12 Aug →
cache13–40.0417%12 Aug →
anubis13–110.0218%12 Aug →
mirage13–50.0211%12 Aug →
nuke13–60.1122%12 Aug →
ancient13–40.0924%12 Aug →
dust26–13-0.1019%11 Aug →
ancient0–13-0.0919%11 Aug →
nuke5–13-0.0323%11 Aug →
inferno3–13-0.0730%11 Aug →
anubis4–130.0217%11 Aug →
cache6–130.0026%11 Aug →
cache6–130.0124%11 Aug →
dust24–130.0229%7 Aug →
mirage13–7-0.0220%6 Aug →
dust213–50.0325%6 Aug →
cache10–13-0.0025%6 Aug →
cache4–13-0.0533%5 Aug →
mirage6–130.0833%5 Aug →
ancient3–130.0026%2 Aug →
cache11–130.0529%2 Aug →
dust21–13-0.0236%1 Aug →
cache5–13-0.0123%1 Aug →
nuke16–120.1119%31 Jul →
dust22–13-0.0726%31 Jul →
dust212–160.0617%23 Jul →
nuke11–130.0412%23 Jul →
cache13–70.0121%23 Jul →
nuke13–40.0327%22 Jul →
overpass12–4-0.043%22 Jul →
ancient13–50.0418%22 Jul →
anubis13–11-0.0021%22 Jul →
mirage8–13-0.0224%22 Jul →
dust213–4-0.0521%22 Jul →
train2–13-0.0343%21 Jul →
dust216–13-0.0022%18 Jul →
dust28–130.0417%18 Jul →
cache3–13-0.0721%17 Jul →
mirage5–13-0.0227%17 Jul →
mirage10–13-0.0810%15 Jul →
cache12–12-0.0410%15 Jul →
train1–13-0.1117%4 Jul →
nuke13–10-0.0618%3 Jul →
inferno10–13-0.0347%3 Jul →
nuke12–12-0.0418%3 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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