Mumbsii

Mumbsii — CS2 Stats

FI76561198894747484[U:1:934481756]Steam profile ↗✓ No bans

1,099Tracked matches39%Win rate2020Tracked since
CSDB Rating2.5 LearningSupport
Premier CS Rating5,269Light Blue band · top ~77.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,099 tracked matches. 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. 30 days played since 22 Jul 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: 5,269 -786 22 Jul18 Sept · 25 days played
5,1707,201peak 7,20122 Jul18 Sept
7,227Peak Premier in tracked matches
30Days played since 2026-07-22

Premier CS Rating

  • 1,932 below peak (7,201)
  • +99 over 30 days · steady
  • Next: Blue band at 10,000 4,731 to go
  • Reached: Light Blue band
  • Light 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.

Share this profile

CSDB.GGMumbsiiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER5,269 · Light Blue 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

Aim30
Positioning27
Utility46

0–100 skill scores via Leetify.

Recent form

COLD36604Last 10036%Win rateLLTLLLLWWW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · −148ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 041 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 631ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 673ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim3.0
Utility4.6
Positioning2.7
Opening Duels0.0
Clutch3.6

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 646ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.0
Positioning2.7
Utility4.6
Mechanics3.3
Opening Duels0.0
Win Impact1.4

Composite 2.5/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time656ms−11ms
first ⅓ avg 667ms → last ⅓ avg 656ms
Headshot accuracy17.7%+0.7%
first ⅓ avg 17.1% → last ⅓ avg 17.7%

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

0.06Best match rating · 13–6 · nuke, 25 Jul
53%Best headshot accuracy · 9–4 · inferno, 11 Sept
430msFastest reaction time · 13–7 · mirage, 12 Aug
13–2Biggest win · ancient, 31 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
34In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 50% over 18cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD2872125%-0.04
ancientD1851328%-0.05
nukeB189950%-0.05
infernoB126650%-0.02
anubisC83538%-0.06
cacheD61517%-0.05
train42250%-0.04
dust242250%0.02
vertigo1010%-0.04
office110100%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

135Matches
47%Win rate
1.11Avg K/D
72.0ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1443%0.8617.1
Mirage956%0.9814.3
Ancient875%1.0514.1
Anubis475%0.8213.8
Inferno425%0.7712.8
Dust2250%0.8812.5
Cache1100%0.6911.0

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.

17.1%Headshot accuracy
29.5%Accuracy (enemy spotted)
33.4%Spray accuracy
64.7%Counter-strafing
13.2°Preaim
646msReaction time
20.3%T opening success
25.3%CT opening success
0.55Enemies flashed / flash
1.4%Flash assists
7.76HE damage / grenade
3.78Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1891° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7772 — below the 4 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0613%13 Sept
cache7–13-0.0427%13 Sept
vertigo12–12-0.0416%13 Sept
inferno1–130.0323%13 Sept
nuke3–13-0.0520%13 Sept
mirage11–13-0.037%13 Sept
train4–13-0.0126%12 Sept
nuke13–10-0.089%12 Sept
ancient13–3-0.0838%12 Sept
mirage13–8-0.0215%12 Sept
nuke13–5-0.0611%11 Sept
train13–6-0.0614%11 Sept
inferno9–4-0.0353%11 Sept
nuke1–9-0.220%10 Sept
mirage5–13-0.0616%10 Sept
nuke11–13-0.0622%10 Sept
ancient5–13-0.1125%10 Sept
ancient10–13-0.0522%8 Sept
inferno13–10-0.018%8 Sept
office13–6-0.018%6 Sept
nuke7–13-0.0722%5 Sept
mirage12–12-0.0228%5 Sept
train4–13-0.0620%5 Sept
inferno16–13-0.0218%3 Sept
dust213–7-0.0415%3 Sept
mirage8–13-0.0316%24 Aug
mirage11–13-0.0711%19 Aug
ancient13–70.0012%16 Aug
anubis3–13-0.049%12 Aug
anubis1–13-0.1017%12 Aug
mirage13–70.0620%12 Aug
inferno9–13-0.0215%11 Aug
mirage4–13-0.0611%10 Aug
mirage13–100.0018%10 Aug
nuke19–15-0.0223%10 Aug
inferno16–14-0.0215%9 Aug
nuke13–7-0.0230%6 Aug
mirage6–13-0.0326%6 Aug
nuke5–13-0.0510%6 Aug
ancient5–13-0.0510%6 Aug
train13–4-0.0219%5 Aug
mirage4–13-0.0623%5 Aug
nuke13–60.0126%5 Aug
ancient8–13-0.0223%4 Aug
mirage13–40.0330%4 Aug
ancient3–13-0.068%3 Aug
dust213–40.0513%2 Aug
mirage13–110.0327%2 Aug
mirage5–13-0.0318%2 Aug
mirage7–13-0.0212%1 Aug
ancient6–13-0.055%1 Aug
anubis13–5-0.0114%1 Aug
ancient13–2-0.0614%31 Jul
inferno13–30.0229%31 Jul
inferno13–9-0.0141%30 Jul
ancient8–13-0.0425%30 Jul
cache13–90.0129%30 Jul
mirage5–130.0418%30 Jul
inferno9–13-0.0215%30 Jul
ancient9–130.0420%30 Jul
nuke2–13-0.0628%29 Jul
anubis5–13-0.1321%29 Jul
cache5–13-0.0914%29 Jul
mirage6–13-0.1135%29 Jul
inferno8–13-0.0131%29 Jul
dust21–130.0224%29 Jul
nuke13–80.0229%29 Jul
ancient3–13-0.0815%28 Jul
mirage15–15-0.0023%28 Jul
mirage7–13-0.0818%28 Jul
inferno0–13-0.0722%28 Jul
ancient0–13-0.0522%28 Jul
mirage8–13-0.0710%28 Jul
anubis13–5-0.0613%26 Jul
nuke7–13-0.0925%26 Jul
inferno4–13-0.1025%26 Jul
anubis13–10-0.0413%25 Jul
cache11–13-0.0313%25 Jul
nuke13–60.0626%25 Jul
mirage13–50.0419%25 Jul
mirage8–13-0.1115%25 Jul
anubis10–13-0.0215%25 Jul
mirage13–8-0.0720%24 Jul
dust22–130.0420%24 Jul
cache2–13-0.0829%23 Jul
mirage9–13-0.0710%23 Jul
nuke4–13-0.0510%23 Jul
mirage7–13-0.128%23 Jul
ancient13–9-0.0315%23 Jul
nuke13–11-0.0429%23 Jul
cache8–13-0.0610%23 Jul
mirage2–13-0.089%23 Jul
ancient6–13-0.0717%23 Jul
anubis7–13-0.0625%22 Jul
ancient13–60.0213%22 Jul
mirage3–13-0.0331%22 Jul
nuke8–13-0.0313%22 Jul
ancient15–15-0.0714%22 Jul
mirage0–13-0.040%22 Jul
nuke16–12-0.0218%22 Jul

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 →