フムᄊのレ

フムᄊのレ — CS2 Stats

US76561198878530169[U:1:918264441]Steam profile ↗✓ No bans

1,467Tracked matches40%Win rate2022Tracked since
1,904Hours in CS20Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating17,118Purple band · top ~20% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,118 → 17,118
+4Tracked matches · now 1,467
−3.3ppWin rate · 43.3% → 40.0%
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. 39 days played since 22 Jun 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: 17,118 +5,562 22 Jun – 23 Sept · 24 days played
10,89817,712peak 17,71222 Jun23 Sept
17,836Peak Premier in tracked matches
39Days played since 2026-06-22

Premier CS Rating

  • 594 below peak (17,712)
  • +1,503 over 30 days · improving
  • +6,220 over 90 days
  • Next: Pink band at 20,000 — 2,882 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches44——
Win rate41%——
K/D0.71——
Headshot %49%——

Measured 29 Aug 2026 → 26 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate45.2%44.3%46.9%1.7% short
Shot accuracy4.0%11.8%13.0%9.0% short
Kill/death ratio0.901.031.080.18 short
Match win rate42.9%45.2%46.7%3.7% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGフムᄊのレPREMIER17,118 · Purple 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

Aim65
Positioning36
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateLWLWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.7pp headshot accuracy · −0ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 609ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

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 (+5.3 against its own average).

Aim6.5
Utility5.2
Positioning3.6
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 586ms 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

Aim6.5
Positioning3.6
Utility5.2
Mechanics7.0
Opening Duels0.0
Win Impact1.7

Composite 4.7/10 (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-0.04−0.04
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time589ms−32ms
first ⅓ avg 621ms → last ⅓ avg 589ms
Headshot accuracy16.2%+0.0%
first ⅓ avg 16.1% → last ⅓ avg 16.2%

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 · 13–3 · mirage, 21 Sept →
60%Best headshot accuracy · 5–13 · ancient, 21 Aug →
391msFastest reaction time · 7–13 · cache, 19 Sept →
13–1Biggest win · mirage, 15 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
cacheD184–1422%-0.03
dust2B179–853%-0.02
ancientB157–847%-0.05
nukeA159–660%-0.03
mirageD123–925%-0.02
anubisA117–464%0.00
infernoA116–555%-0.03
train—10–10%0.06

Across the last 100 tracked matches.

Lifetime stats

27,697Lifetime kills
0.90K/D
2,108Matches
42.9%Match win rate
45.2%Headshot % · Top 50% of Purple band
4.0%Shot accuracy
3,049MVPs
744Hours (in match)
2,314Bombs planted
489Bombs defused

Most-used weapons

Lifetime map wins

3,557inferno
2,872dust2
2,362vertigo
1,190nuke
120office
101train
35italy
15safehouse

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

Faceit stats

Combat

16Matches
69%Win rate
0.86Avg K/D
59.3ADR
39%Headshot %

Clutches & streaks

83%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.7510.6
Ancient3100%0.999.3
Dust23100%0.6910.0
Anubis333%1.2015.0
Inferno1100%0.7110.0
Nuke1100%0.7110.0

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.

15.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.0%Spray accuracy
81.4%Counter-strafing
9.6°Preaim
586msReaction time
26.9%T opening success
26.1%CT opening success
0.53Enemies flashed / flash
5.5%Flash assists
8.53HE damage / grenade
9.29Flashes / 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 26.8914% — 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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.030%23 Sept →
dust213–7-0.0520%21 Sept →
dust27–13-0.0821%21 Sept →
mirage13–30.1126%21 Sept →
cache7–13-0.098%19 Sept →
cache6–13-0.0925%19 Sept →
anubis13–11-0.0113%19 Sept →
ancient4–13-0.0719%18 Sept →
cache4–13-0.0722%18 Sept →
anubis13–100.0219%18 Sept →
mirage7–13-0.0823%18 Sept →
inferno5–13-0.075%18 Sept →
dust29–13-0.0427%18 Sept →
cache4–13-0.0015%18 Sept →
cache3–13-0.0733%16 Sept →
inferno13–11-0.0224%16 Sept →
ancient13–7-0.0411%14 Sept →
anubis13–50.0432%14 Sept →
ancient13–10-0.039%14 Sept →
ancient10–13-0.0713%14 Sept →
ancient8–13-0.0520%12 Sept →
inferno4–13-0.079%12 Sept →
mirage6–13-0.0710%12 Sept →
cache10–13-0.0811%12 Sept →
inferno13–11-0.0410%11 Sept →
dust213–11-0.0125%11 Sept →
nuke6–13-0.0714%11 Sept →
nuke13–10-0.029%4 Sept →
dust23–13-0.049%4 Sept →
ancient16–14-0.073%2 Sept →
nuke13–11-0.069%2 Sept →
inferno13–10-0.0222%1 Sept →
cache7–13-0.0218%1 Sept →
ancient10–13-0.0522%1 Sept →
nuke16–12-0.068%1 Sept →
inferno13–60.0217%31 Aug →
ancient4–13-0.0813%27 Aug →
cache13–9-0.0228%27 Aug →
anubis11–13-0.0019%27 Aug →
nuke13–100.0216%24 Aug →
mirage3–130.0123%24 Aug →
nuke11–13-0.0211%24 Aug →
nuke11–4-0.0610%21 Aug →
anubis13–100.0014%21 Aug →
mirage11–130.0127%21 Aug →
cache5–13-0.089%21 Aug →
ancient5–13-0.0960%21 Aug →
dust213–100.0327%21 Aug →
nuke10–13-0.0837%18 Aug →
inferno13–11-0.0224%17 Aug →
cache5–13-0.0316%17 Aug →
nuke7–130.0120%17 Aug →
mirage11–13-0.0318%17 Aug →
nuke13–110.0316%13 Aug →
dust29–130.0136%12 Aug →
inferno11–13-0.0211%12 Aug →
dust213–50.0031%12 Aug →
ancient7–13-0.066%12 Aug →
anubis7–13-0.0513%5 Aug →
nuke6–5-0.0718%5 Aug →
mirage5–13-0.0418%5 Aug →
cache13–2-0.0311%5 Aug →
cache13–7-0.029%4 Aug →
anubis9–13-0.0721%4 Aug →
anubis13–30.0414%4 Aug →
inferno5–13-0.0810%31 Jul →
nuke13–10-0.0018%31 Jul →
anubis13–11-0.034%31 Jul →
cache8–13-0.0610%30 Jul →
cache7–130.0222%29 Jul →
nuke13–11-0.0111%29 Jul →
dust23–13-0.0412%29 Jul →
dust213–8-0.0611%28 Jul →
inferno9–13-0.0317%22 Jul →
inferno13–7-0.0211%21 Jul →
dust213–50.0420%21 Jul →
dust213–11-0.0113%20 Jul →
mirage13–10-0.0415%20 Jul →
mirage13–1-0.0118%15 Jul →
mirage5–130.0011%9 Jul →
ancient8–10.0925%6 Jul →
dust213–20.0110%6 Jul →
cache7–130.0118%6 Jul →
cache7–13-0.0013%6 Jul →
train10–130.0624%3 Jul →
nuke7–130.0011%3 Jul →
dust210–13-0.0138%3 Jul →
cache10–130.0120%3 Jul →
ancient13–9-0.073%2 Jul →
ancient13–10-0.039%1 Jul →
ancient13–11-0.0211%1 Jul →
cache13–100.0416%26 Jun →
mirage4–13-0.0320%25 Jun →
mirage11–13-0.0321%24 Jun →
dust26–13-0.0218%23 Jun →
anubis13–80.0315%23 Jun →
ancient10–13-0.0319%23 Jun →
dust213–20.0235%22 Jun →
nuke10–13-0.0215%22 Jun →
anubis10–130.0518%22 Jun →

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 →