FaZe Midget Chan

FaZe Midget Chan — CS2 Stats

UM76561199022158166[U:1:1061892438]Steam profile ↗✓ No bans

555Tracked matches48%Win rate2021Tracked since
424Hours in CS
CSDB Rating4.2 DevelopingClutch Specialist
Premier CS Rating15,467Purple band · top ~26.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 555 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,467 -160 1 Jul – 2 Nov · 22 days played
15,00018,090peak 18,0901 Jul2 Nov
18,800Peak Premier in tracked matches
0Highest Faceit ELO seen on CSDB
20Days played since 2026-06-30

Premier CS Rating

  • 2,623 below peak (18,090)
  • 0 over 90 days
  • Next: Pink band at 20,000 — 4,533 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate51.6%44.4%46.9%above
Shot accuracy5.5%11.9%13.0%7.5% short
Kill/death ratio0.961.031.080.12 short
Match win rate43.2%45.2%46.7%3.5% short

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

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

Share this profile

CSDB.GGFaZe Midget ChanPREMIER15,467 · Purple bandPEAK ELO0csdb.gg/stats

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Performance scores

Aim43
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWWLLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +3.7pp headshot accuracy · +22ms 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 -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 675ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 614ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim4.3
Utility4.4
Positioning4.8
Opening Duels0.0
Clutch6.0

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

iM

Plays most like iM 73% 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

T-side openings. Opening success drops from 42% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim4.3
Positioning4.8
Utility4.4
Mechanics4.6
Opening Duels1.5
Win Impact4.4

Composite 4.2/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time619ms−19ms
first ⅓ avg 638ms → last ⅓ avg 619ms
Headshot accuracy17.7%−3.1%
first ⅓ avg 20.8% → 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

0.19Best match rating · 9–1 · alpine, 30 Jun →
43%Best headshot accuracy · 13–8 · office, 30 Jun →
438msFastest reaction time · 10–13 · anubis, 9 Jul →
13–0Biggest win · nuke, 15 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 10mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB3619–1753%-0.02
nukeC239–1439%0.01
ancientC177–1041%-0.01
anubisS108–280%-0.00
mirageD62–433%-0.04
inferno—31–233%0.01
dust2—21–150%-0.02
office—22–0100%0.08
alpine—11–0100%0.19

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,589Lifetime kills
0.96K/D
1,190Matches
43.2%Match win rate
51.6%Headshot % · Top 25% of Purple band
5.5%Shot accuracy
2,009MVPs
424Hours (in match)
1,337Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

2,287nuke
1,186inferno
551dust2
428vertigo
138train
79office
22militia
13cbble

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

Faceit stats

Combat

2Matches
50%Win rate
1.46Avg K/D
80.7ADR
54%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%1.9121.0
Dust210%1.0014.0

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.

18.2%Headshot accuracy
28.6%Accuracy (enemy spotted)
32.7%Spray accuracy
70.8%Counter-strafing
11.2°Preaim
613msReaction time
11.5%T opening success
42.2%CT opening success
0.46Enemies flashed / flash
10.6%Flash assists
3.87HE damage / grenade
9.64Flashes / 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 0.4613 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 11.5498% — below the 40% mark we flag

Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0721%30 Jul →
ancient13–80.0122%30 Jul →
mirage8–13-0.0816%29 Jul →
cache1–13-0.0824%29 Jul →
nuke13–70.0013%28 Jul →
ancient13–100.0619%24 Jul →
ancient11–13-0.0416%24 Jul →
anubis16–140.0228%24 Jul →
nuke7–13-0.0515%23 Jul →
nuke14–160.0422%23 Jul →
inferno13–9-0.0022%23 Jul →
cache5–13-0.025%23 Jul →
ancient4–130.028%23 Jul →
nuke10–130.0024%23 Jul →
cache12–160.0120%23 Jul →
ancient4–13-0.0316%23 Jul →
anubis13–9-0.028%22 Jul →
ancient8–13-0.0113%22 Jul →
cache15–15-0.0920%22 Jul →
cache13–80.0123%22 Jul →
cache6–13-0.1230%22 Jul →
ancient16–130.0112%22 Jul →
nuke13–50.0117%22 Jul →
ancient5–13-0.0626%21 Jul →
cache13–8-0.0211%17 Jul →
cache16–130.0323%17 Jul →
cache5–13-0.1111%17 Jul →
dust213–11-0.0115%16 Jul →
nuke3–13-0.0916%16 Jul →
cache13–30.0029%16 Jul →
mirage1–13-0.0610%16 Jul →
cache10–13-0.0623%16 Jul →
nuke6–13-0.0310%16 Jul →
cache13–9-0.0317%15 Jul →
nuke13–00.1125%15 Jul →
ancient13–70.0535%15 Jul →
ancient13–4-0.0416%14 Jul →
nuke10–13-0.0224%14 Jul →
ancient13–110.0114%14 Jul →
mirage6–13-0.0625%14 Jul →
mirage4–13-0.092%14 Jul →
cache6–13-0.0718%14 Jul →
dust210–13-0.0316%14 Jul →
anubis13–90.0424%14 Jul →
anubis13–7-0.0122%14 Jul →
nuke10–13-0.0124%14 Jul →
mirage13–30.0414%13 Jul →
cache6–13-0.0516%13 Jul →
nuke13–30.0225%13 Jul →
ancient10–13-0.0518%13 Jul →
nuke2–13-0.0516%13 Jul →
ancient11–130.0315%13 Jul →
cache16–130.0217%12 Jul →
nuke11–130.0213%12 Jul →
cache13–100.0320%12 Jul →
cache8–13-0.0413%12 Jul →
anubis5–13-0.0724%12 Jul →
cache3–13-0.0414%12 Jul →
nuke15–150.0612%12 Jul →
cache13–80.0320%12 Jul →
nuke13–30.1018%12 Jul →
anubis13–8-0.0310%12 Jul →
mirage13–40.0135%11 Jul →
inferno5–130.0023%11 Jul →
ancient9–13-0.0116%11 Jul →
anubis13–7-0.0215%11 Jul →
nuke0–30.0820%11 Jul →
anubis13–60.0625%11 Jul →
nuke13–110.0521%10 Jul →
anubis13–90.0414%10 Jul →
cache13–40.0137%10 Jul →
ancient7–13-0.088%9 Jul →
cache13–10-0.0612%9 Jul →
nuke10–13-0.0713%9 Jul →
nuke13–70.0416%9 Jul →
cache8–130.0419%9 Jul →
ancient9–13-0.0113%9 Jul →
ancient12–5-0.0113%9 Jul →
nuke13–50.029%9 Jul →
anubis10–13-0.0210%9 Jul →
nuke7–13-0.0334%9 Jul →
cache13–11-0.0410%9 Jul →
cache7–5-0.0113%7 Jul →
cache7–90.0238%7 Jul →
cache3–50.0121%7 Jul →
cache11–13-0.0224%7 Jul →
cache5–130.0019%6 Jul →
cache10–10.1219%6 Jul →
office13–100.0925%6 Jul →
cache13–11-0.0316%6 Jul →
cache13–3-0.0124%6 Jul →
cache13–8-0.0336%1 Jul →
cache13–10-0.0318%1 Jul →
cache7–13-0.0133%1 Jul →
nuke9–13-0.0025%1 Jul →
inferno8–130.0225%1 Jul →
cache13–110.0020%1 Jul →
cache13–40.0219%30 Jun →
alpine9–10.1914%30 Jun →
office13–80.0743%30 Jun →

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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