MRBIEDA

MRBIEDA — CS2 Stats

76561199113538623[U:1:1153272895]Steam profile ↗✓ No bans

3,401Tracked matches58%Win rate2021Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating5,964Light Blue band · top ~74.2% of ranked players (population est.)
FaceitLevel 2 · 826 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 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: 5,964 +2,023 29 Aug – 3 Oct · 20 days played
3,9416,024peak 6,02429 Aug3 Oct
6,079Peak Premier in tracked matches
826Highest Faceit ELO seen on CSDB
28Days played since 2026-08-28

Faceit ELO

  • At peak — 826
  • Next: Level 4 at 901 — 75 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 60 below peak (6,024)
  • +1,753 over 30 days · improving
  • Next: Blue band at 10,000 — 4,036 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGMRBIEDAFACEITLevel 2 · 826 ELOSTANDINGTop 97.9% of rankedPREMIER5,964 · Light Blue bandPEAK ELO826csdb.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

Aim63
Positioning56
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY44–46–10Last 10044%Win rateTTWWLWWLWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −5.7pp headshot accuracy · +24ms 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

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 Player — Positioning stands above the rest of this profile (+2.7 against its own average).

Aim6.3
Utility0.8
Positioning5.6
Opening Duels3.8
Clutch1.4

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

s1mple

Plays most like s1mple 82% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

Areas to improve

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

CT openings. Opening success drops from 65% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.3
Positioning5.6
Utility0.8
Mechanics3.6
Opening Duels6.8
Win Impact7.6

Composite 4.6/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time616ms−43ms
first ⅓ avg 659ms → last ⅓ avg 616ms
Headshot accuracy20.1%+1.0%
first ⅓ avg 19.1% → last ⅓ avg 20.1%

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

0.18Best match rating · 9–4 · nuke, 11 Sept →
43%Best headshot accuracy · 6–2 · inferno, 26 Sept →
398msFastest reaction time · 6–2 · inferno, 26 Sept →
13–2Biggest win · ancient, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 57% over 28cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2816–1257%-0.00
infernoB2110–1148%-0.01
dust2D144–1029%0.01
nukeB147–750%-0.01
ancientC104–640%-0.01
anubisD72–529%-0.03
cacheD51–420%-0.02
office—10–10%-0.13

Across the last 100 tracked matches.

Faceit stats

Combat

161Matches
47%Win rate
0.78Avg K/D
66.3ADR
49%Headshot %

Clutches & streaks

27%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6055%0.7911.7
Dust23339%0.7112.1
Ancient2552%0.9413.2
Nuke1338%0.8313.7
Inferno1233%0.8012.3
Anubis956%0.7214.1
Cache425%0.629.8
Train20%0.7316.0

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.

19.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
41.9%Spray accuracy
66.1%Counter-strafing
8.8°Preaim
626msReaction time
65.1%T opening success
49.6%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
4.86HE damage / grenade
0.55Flashes / 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 0.1474 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust215–150.0514%3 Oct →
ancient15–15-0.0412%2 Oct →
ancient13–6-0.0114%2 Oct →
inferno13–70.0234%2 Oct →
inferno4–13-0.0410%2 Oct →
mirage13–100.0114%2 Oct →
dust213–7-0.007%2 Oct →
dust27–13-0.0320%2 Oct →
nuke13–50.0112%2 Oct →
nuke4–13-0.009%2 Oct →
inferno8–50.1335%2 Oct →
inferno13–60.0225%2 Oct →
nuke2–9-0.2113%28 Sept →
nuke6–9-0.1122%28 Sept →
inferno3–9-0.2322%28 Sept →
inferno13–16-0.0016%28 Sept →
dust216–140.0015%28 Sept →
anubis13–70.0225%28 Sept →
ancient16–140.0017%27 Sept →
dust25–13-0.0914%27 Sept →
inferno9–13-0.0318%27 Sept →
mirage15–150.0122%27 Sept →
dust213–80.0217%27 Sept →
inferno13–60.0122%26 Sept →
inferno4–13-0.0127%26 Sept →
inferno6–2-0.0143%26 Sept →
dust28–130.0124%26 Sept →
inferno15–15-0.0414%25 Sept →
inferno6–90.0237%25 Sept →
dust27–130.0831%25 Sept →
ancient9–130.0022%21 Sept →
anubis13–6-0.0620%21 Sept →
mirage13–7-0.0416%20 Sept →
nuke6–13-0.0732%19 Sept →
anubis12–12-0.0733%19 Sept →
inferno4–9-0.0728%19 Sept →
mirage7–13-0.0220%19 Sept →
anubis11–13-0.0522%19 Sept →
ancient5–13-0.0817%19 Sept →
ancient8–130.0118%18 Sept →
mirage13–11-0.0719%18 Sept →
cache4–13-0.0424%17 Sept →
mirage16–12-0.0111%17 Sept →
dust28–13-0.0528%17 Sept →
mirage1–13-0.0919%16 Sept →
nuke16–14-0.0322%13 Sept →
mirage13–8-0.0426%13 Sept →
ancient13–2-0.0217%13 Sept →
mirage6–13-0.0240%13 Sept →
mirage2–13-0.0320%13 Sept →
cache13–7-0.0624%13 Sept →
mirage9–130.0126%12 Sept →
inferno8–13-0.0222%12 Sept →
mirage13–90.0025%12 Sept →
mirage13–40.0930%12 Sept →
ancient9–130.0126%11 Sept →
anubis10–130.0620%11 Sept →
dust29–130.0720%11 Sept →
dust213–60.0828%11 Sept →
inferno9–5-0.0217%11 Sept →
nuke9–40.1829%11 Sept →
inferno9–70.0915%11 Sept →
nuke6–9-0.0517%10 Sept →
nuke9–60.1533%10 Sept →
nuke9–7-0.0118%10 Sept →
inferno8–80.0031%10 Sept →
inferno8–8-0.1111%10 Sept →
mirage13–7-0.0015%10 Sept →
mirage8–130.0011%9 Sept →
inferno13–100.0323%9 Sept →
dust22–13-0.0123%8 Sept →
nuke7–9-0.0020%8 Sept →
nuke15–150.029%8 Sept →
mirage13–60.0726%8 Sept →
nuke13–7-0.007%8 Sept →
nuke13–2-0.0733%8 Sept →
mirage4–13-0.0529%7 Sept →
mirage13–80.0021%6 Sept →
dust212–160.0213%4 Sept →
mirage13–40.0720%4 Sept →
mirage13–60.0925%3 Sept →
mirage12–120.0326%3 Sept →
cache11–130.0120%2 Sept →
anubis4–13-0.084%2 Sept →
mirage13–8-0.0117%1 Sept →
mirage13–9-0.0321%31 Aug →
anubis8–13-0.0517%31 Aug →
inferno13–6-0.0622%31 Aug →
ancient8–13-0.0326%30 Aug →
mirage13–7-0.0123%29 Aug →
dust27–130.0514%29 Aug →
cache9–130.0118%29 Aug →
ancient13–70.0012%29 Aug →
mirage15–15-0.0132%29 Aug →
mirage3–13-0.0127%29 Aug →
inferno13–60.0916%29 Aug →
office4–13-0.1310%29 Aug →
cache11–13-0.0421%28 Aug →
mirage10–130.0612%28 Aug →
mirage13–4-0.0413%28 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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