M1xed

M1xed — CS2 Stats

FI76561198150381126[U:1:190115398]Steam profile ↗✓ No bans

2,629Tracked matches43%Win rate2020Tracked since
2,711Hours in CS
CSDB Rating5.0 DevelopingPassive Rifler
FaceitLevel 8 · 1,929 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate43.0%47.2%49.0%6.0% short
Shot accuracy15.8%12.3%13.1%above
Kill/death ratio0.851.071.080.23 short
Match win rate41.9%46.3%46.9%5.0% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGM1xedFACEITLevel 8 · 1,929 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning40
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateWWLLLLLWWL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression4.4
Utility6.4
Positioning4.0
Opening Duels0.6
Clutch3.0

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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning4.0
Utility6.4
Mechanics5.0
Opening Duels1.4
Win Impact2.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time526ms−97ms
first ⅓ avg 623ms → last ⅓ avg 526ms
Headshot accuracy19.3%−2.0%
first ⅓ avg 21.4% → last ⅓ avg 19.3%

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.

Highlights

0.11Best rating — anubis 13–4
130Biggest win — ancient
5Longest win streak
W2Current streak
67In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 65% over 20nukeWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageS2013765%-0.00
ancientA1911858%0.00
nukeC1871139%-0.02
dust2C167944%-0.01
anubisB115645%0.02
infernoB63350%-0.02
overpassA53260%-0.03
train31233%-0.01
office1010%0.03
grail110100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,665Lifetime kills
0.85K/D
5,774Matches
41.9%Match win rate
43.0%Headshot %
15.8%Shot accuracy · Top 25% of Level 8 players
14,925MVPs
2,711Hours (in match)
9,274Bombs planted
1,652Bombs defused

Most-used weapons

AK-4726,770
AWP12,156
Knife5,074
MAC-103,263
MP92,452
SSG 081,764

Lifetime map wins

10,330inferno
7,342nuke
4,456vertigo
3,679dust2
3,676train
697cbble
286lake
132safehouse

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

Faceit stats

Combat

2,510Matches
50%Win rate
0.97Avg K/D
66.2ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage22143%0.9013.2
Ancient20951%1.0013.6
Nuke18955%1.0513.8
Anubis12652%1.0413.8
Dust29541%0.8613.5
Inferno6743%0.9713.6
Vertigo6266%1.0013.9
Train2741%1.0815.1

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.

19.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
44.5%Spray accuracy
72.3%Counter-strafing
9.5°Preaim
507msReaction time
23.9%T opening success
41.0%CT opening success
0.65Enemies flashed / flash
10.9%Flash assists
12.04HE damage / grenade
14.15Flashes / 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 23.9465% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0120%29 Jul
inferno13–5-0.0310%28 Jul
mirage9–130.0014%27 Jul
mirage7–13-0.0515%27 Jul
anubis7–130.0220%26 Jul
ancient11–130.1022%18 Mar
anubis8–130.0122%18 Mar
mirage13–9-0.0326%17 Mar
nuke13–50.0231%17 Mar
nuke10–13-0.0821%16 Mar
ancient13–90.0426%16 Mar
dust216–13-0.0222%16 Mar
mirage13–10-0.0533%16 Mar
ancient9–13-0.0319%16 Mar
inferno6–13-0.0422%8 Mar
dust213–80.0329%8 Mar
ancient7–13-0.0817%8 Mar
nuke13–9-0.0719%4 Mar
inferno3–13-0.0618%3 Mar
anubis13–70.056%3 Mar
dust211–130.0318%20 Feb
mirage13–80.0120%20 Feb
anubis4–130.0124%16 Feb
nuke6–13-0.078%16 Feb
nuke6–13-0.1116%15 Feb
anubis8–13-0.0516%15 Feb
nuke20–220.0223%13 Feb
mirage13–7-0.0414%12 Feb
inferno11–13-0.0014%4 Feb
inferno13–11-0.0313%2 Feb
mirage13–7-0.0522%30 Jan
nuke13–100.0819%11 Jan
anubis13–30.0615%11 Jan
anubis13–40.1114%11 Jan
ancient8–130.0120%9 Jan
mirage13–10.069%7 Jan
overpass6–13-0.0521%7 Jan
ancient13–40.0333%7 Jan
nuke13–100.0926%5 Jan
dust26–130.0318%3 Jan
overpass16–14-0.0412%3 Jan
mirage6–13-0.0323%13 Nov
dust213–9-0.0219%13 Nov
ancient13–70.0223%12 Nov
mirage13–70.0421%12 Nov
nuke7–13-0.0911%12 Nov
ancient16–120.0223%11 Nov
dust28–130.0221%11 Nov
nuke16–14-0.0525%11 Nov
ancient13–8-0.0125%11 Nov
overpass13–7-0.0114%24 Sept
mirage13–100.0416%7 Sept
nuke5–13-0.0024%29 Aug
dust213–8-0.0437%26 Aug
nuke13–9-0.0229%26 Aug
mirage8–13-0.0121%26 Aug
overpass13–4-0.0624%25 Aug
ancient7–13-0.0424%25 Aug
train7–13-0.0132%22 Aug
nuke10–13-0.059%22 Aug
ancient13–9-0.0213%21 Aug
mirage10–13-0.0319%20 Aug
dust210–13-0.0720%20 Aug
mirage13–10-0.0420%20 Aug
ancient13–00.0914%19 Aug
mirage16–130.0213%19 Aug
dust210–13-0.0419%19 Aug
mirage5–13-0.0229%19 Aug
nuke12–160.0012%16 Aug
mirage13–50.0110%11 Aug
overpass4–130.0114%10 Aug
ancient10–130.0015%17 Jul
nuke5–13-0.0617%17 Jul
dust213–70.0738%13 Jul
inferno13–50.0331%13 Jul
nuke15–15-0.0313%13 Jul
anubis5–13-0.0444%13 Jul
ancient13–90.0725%12 Jul
dust213–8-0.0128%8 Jul
dust211–13-0.0122%7 Jul
dust213–7-0.0215%6 Jul
train11–13-0.0423%2 Jul
anubis16–14-0.0220%2 Jul
mirage10–13-0.0823%2 Jul
dust210–13-0.0819%1 Jul
anubis13–30.0920%30 Jun
dust214–16-0.0425%29 Jun
nuke10–130.0510%28 Jun
dust28–13-0.0326%27 Jun
mirage13–60.1032%24 Jun
ancient13–110.0115%23 Jun
anubis6–13-0.0517%20 Jun
nuke13–70.0010%20 Jun
mirage13–70.0626%19 Jun
train13–70.0136%12 Jun
office4–130.0333%23 May
ancient6–13-0.0613%12 May
grail13–100.0123%8 May
ancient4–13-0.110%6 May
ancient13–9-0.0021%29 Apr

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 →