M1ffy

M1ffy — CS2 Stats

TH76561199222941509[U:1:1262675781]Steam profile ↗✓ No bans

2,356Tracked matches63%Win rate2023Tracked since
4,400Hours in CS63Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating23,002Top 25% of 205,052 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#41974 of 252335 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 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: 23,002 +3,286 19 Jul – 15 Oct · 27 days played
18,92323,210peak 23,21019 Jul15 Oct
23,210Peak Premier in tracked matches
1,495Highest Faceit ELO seen on CSDB
36Days played since 2026-07-17

Faceit ELO

  • At peak — 1,495
  • Next: Level 8 at 1,531 — 36 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 208 below peak (23,210)
  • +3,002 over 30 days · improving
  • +3,286 over 90 days
  • Next: Red band at 25,000 — 1,998 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.3%46.9%49.3%5.0% short
Shot accuracy0.8%13.0%13.4%12.6% short
Kill/death ratio0.911.081.120.22 short
Match win rate35.2%46.7%48.5%13.3% short

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

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

Share this profile

CSDB.GGM1ffyPREMIER23,002 · Pink bandPEAK ELO1,495csdb.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

Aim78
Positioning68
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLLWLLLWWWL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −0.8pp headshot accuracy · −21ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 566ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 560ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

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 against its own average).

Aim7.8
Utility3.5
Positioning6.8
Opening Duels5.0
Clutch3.8

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 89% 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

Areas to improve

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

Reaction time. 561ms 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

Aim7.8
Positioning6.8
Utility3.5
Mechanics5.6
Opening Duels5.1
Win Impact9.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time564ms−75ms
first ⅓ avg 638ms → last ⅓ avg 564ms
Headshot accuracy21.7%−6.0%
first ⅓ avg 27.7% → last ⅓ avg 21.7%

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

0.21Best match rating · 13–7 · mirage, 11 Oct →
100%Best headshot accuracy · 13–8 · dust2, 20 Jul →
398msFastest reaction time · 13–9 · nuke, 10 Oct →
13–1Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 100% over 7infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.01
mirageB158–753%0.03
infernoD155–1033%-0.02
cacheS1410–471%0.03
nukeB137–654%0.02
ancientA95–456%0.02
anubisS77–0100%0.01
vertigo—11–0100%0.04
train—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,044Lifetime kills
0.91K/D
3,702Matches
35.2%Match win rate
44.3%Headshot %
0.8%Shot accuracy
7,560MVPs
4,946Hours (in match)
942Bombs planted
617Bombs defused

Most-used weapons

AK-4743,721
AWP30,624
Knife396

Lifetime map wins

5,722dust2
3,544inferno
3,471nuke
1,015train
974vertigo
127office
7ar_baggage
5ar_shoots

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

Faceit stats

Combat

425Matches
49%Win rate
1.23Avg K/D
85.0ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9450%1.2718.0
Dust28549%1.2417.7
Nuke6749%1.1718.4
Inferno5556%1.2718.1
Ancient5347%1.1717.1
Anubis3155%1.1818.6
Overpass1547%1.2919.1
Cache1414%1.0719.3

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.

20.3%Headshot accuracy
37.7%Accuracy (enemy spotted)
36.5%Spray accuracy
75.3%Counter-strafing
8.6°Preaim
561msReaction time
45.2%T opening success
55.4%CT opening success
0.65Enemies flashed / flash
0.9%Flash assists
2.37HE damage / grenade
6.73Flashes / match

Recommended for you

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0321%15 Oct →
mirage10–130.0224%15 Oct →
vertigo13–60.0410%15 Oct →
dust211–13-0.0435%15 Oct →
inferno4–11-0.1013%15 Oct →
inferno10–13-0.0324%15 Oct →
anubis13–7-0.0017%13 Oct →
cache13–10.0635%13 Oct →
dust213–10-0.0215%13 Oct →
inferno5–13-0.0510%13 Oct →
cache13–9-0.0317%13 Oct →
dust213–50.0217%13 Oct →
nuke8–13-0.0423%12 Oct →
dust213–80.0321%12 Oct →
anubis13–70.0433%12 Oct →
nuke13–20.1222%12 Oct →
mirage13–70.2122%11 Oct →
ancient10–13-0.0523%11 Oct →
mirage13–70.0821%11 Oct →
anubis13–100.0211%11 Oct →
nuke13–90.0119%10 Oct →
cache9–130.0324%9 Oct →
nuke13–40.0629%9 Oct →
dust214–160.0318%8 Oct →
anubis13–70.0114%8 Oct →
inferno13–11-0.0118%8 Oct →
anubis13–11-0.0211%8 Oct →
cache13–80.1324%8 Oct →
mirage5–130.0120%5 Oct →
anubis13–110.0025%5 Oct →
mirage11–130.0211%5 Oct →
inferno1–7-0.0867%5 Oct →
cache11–13-0.0525%4 Oct →
dust211–13-0.0523%4 Oct →
dust213–7-0.063%3 Oct →
nuke13–80.0617%3 Oct →
cache13–110.0515%3 Oct →
dust210–130.0323%2 Oct →
inferno13–60.0117%1 Oct →
mirage13–6-0.0622%1 Oct →
cache15–150.0829%1 Oct →
mirage13–70.0929%1 Oct →
cache13–100.0821%1 Oct →
dust211–13-0.0124%30 Sept →
inferno13–70.0616%30 Sept →
mirage9–13-0.0220%30 Sept →
ancient6–13-0.0526%23 Sept →
mirage13–11-0.0216%23 Sept →
inferno4–130.0336%20 Sept →
inferno4–13-0.0613%20 Sept →
mirage10–13-0.0219%19 Sept →
nuke5–13-0.0129%17 Sept →
inferno11–13-0.0224%17 Sept →
mirage4–13-0.003%17 Sept →
nuke11–13-0.0518%17 Sept →
cache13–8-0.0320%17 Sept →
dust213–100.0319%17 Sept →
dust27–13-0.0717%17 Sept →
nuke13–70.0417%17 Sept →
ancient13–60.0335%17 Sept →
dust25–130.0536%12 Sept →
ancient13–30.0535%12 Sept →
dust213–40.0245%6 Sept →
ancient13–40.0920%6 Sept →
inferno13–30.0120%5 Sept →
mirage13–90.1122%5 Sept →
dust213–110.0832%5 Sept →
inferno0–13-0.0414%29 Aug →
dust27–13-0.0621%18 Aug →
dust212–120.0626%15 Aug →
dust213–30.1241%13 Aug →
mirage9–130.0113%12 Aug →
cache10–00.0133%12 Aug →
dust27–13-0.0527%1 Aug →
ancient5–13-0.0224%1 Aug →
cache7–130.0915%31 Jul →
inferno11–13-0.0719%30 Jul →
dust213–5-0.077%30 Jul →
inferno12–120.0140%30 Jul →
cache13–10.0528%30 Jul →
train13–50.0220%29 Jul →
mirage11–60.0115%29 Jul →
nuke7–13-0.107%27 Jul →
nuke7–130.0731%26 Jul →
dust212–120.0729%26 Jul →
dust213–80.1027%24 Jul →
mirage13–30.0323%24 Jul →
dust211–13-0.0523%20 Jul →
dust213–80.03100%20 Jul →
dust213–10.0260%20 Jul →
ancient13–70.0716%19 Jul →
cache13–110.0020%19 Jul →
nuke16–130.0828%19 Jul →
anubis13–90.0310%19 Jul →
ancient4–130.0233%19 Jul →
inferno13–90.0430%18 Jul →
nuke13–60.0852%18 Jul →
cache13–11-0.0034%18 Jul →
ancient13–100.0319%18 Jul →
nuke13–16-0.0427%17 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 →

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