MythoS

MythoS — CS2 Stats

SE76561197961395244[U:1:1129516]Steam profile ↗✓ No bans

675Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidAggressive Rifler
FaceitLevel 4 · 1,006 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGMythoSFACEITLevel 4 · 1,006 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning60
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateWLLWLLWWLL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression6.6
Utility6.1
Positioning6.0
Opening Duels4.7
Clutch0.4

Strong CT-side openerEffective flashesLimited 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.

Your pro match

iM

Plays most like iM 95% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim7.1
Positioning6.0
Utility6.1
Mechanics6.6
Opening Duels4.7
Win Impact5.0

Composite 5.6/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time609ms−8ms
first ⅓ avg 617ms → last ⅓ avg 609ms
Headshot accuracy20.8%−0.8%
first ⅓ avg 21.5% → last ⅓ avg 20.8%

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

0.14Best rating — cache 13–4
131Biggest win — anubis
6Longest win streak
711In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 58% over 12nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A27151256%0.00
infernoB168850%0.02
ancientC1661038%-0.01
mirageB137654%-0.01
cacheA127558%-0.01
anubisC94544%0.02
nukeD5050%-0.03
overpass110100%-0.04
train1010%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

135Matches
46%Win rate
1.17Avg K/D
73.2ADR
44%Headshot %

Clutches & streaks

22%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1020%0.8513.9
Mirage933%0.8414.1
Dust2875%1.0414.1
Inferno560%1.6715.0
Anubis450%1.0813.0
Overpass250%0.9019.0
Nuke1100%1.1424.0

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.

20.6%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.0%Spray accuracy
79.9%Counter-strafing
8.7°Preaim
617msReaction time
36.0%T opening success
61.8%CT opening success
0.75Enemies flashed / flash
14.2%Flash assists
9.62HE damage / grenade
4.82Flashes / 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 35.9744% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–30.0320%29 Aug
dust211–13-0.0217%29 Aug
anubis3–13-0.0236%29 Aug
inferno13–4-0.0330%29 Aug
dust23–130.0521%29 Aug
inferno10–13-0.0223%7 Aug
dust213–70.0034%7 Aug
anubis13–100.0714%7 Aug
cache6–13-0.0125%25 Jul
ancient7–13-0.0321%25 Jul
dust219–17-0.0314%25 Jul
ancient10–130.0127%25 Jul
cache13–50.0615%25 Jul
inferno13–50.0519%12 Jul
dust213–70.0327%12 Jul
mirage5–13-0.0028%12 Jul
cache13–11-0.0018%12 Jul
dust213–50.0114%12 Jul
anubis7–130.0116%11 Jul
ancient13–7-0.0713%11 Jul
cache3–13-0.1121%11 Jul
inferno13–90.0512%10 Jul
mirage13–70.0717%10 Jul
dust28–13-0.0111%10 Jul
ancient9–13-0.0121%7 Jul
inferno9–13-0.0316%7 Jul
dust26–130.0217%7 Jul
dust216–12-0.0013%7 Jul
mirage11–130.0027%6 Jul
mirage13–100.0640%6 Jul
mirage6–13-0.0625%3 Jul
cache13–100.0220%3 Jul
dust213–11-0.0113%3 Jul
inferno13–40.0326%3 Jul
ancient13–2-0.0315%3 Jul
anubis13–10.0922%3 Jul
mirage13–8-0.0420%3 Jul
ancient5–13-0.0513%2 Jul
inferno9–10.0424%2 Jul
cache9–130.0327%2 Jul
dust211–13-0.0632%2 Jul
inferno9–130.0316%1 Jul
dust213–11-0.0418%1 Jul
anubis9–13-0.0325%30 Jun
cache2–13-0.0922%30 Jun
mirage13–11-0.0044%30 Jun
cache16–19-0.0216%29 Jun
ancient13–50.0312%29 Jun
mirage14–160.0029%29 Jun
ancient5–13-0.0121%29 Jun
dust213–70.0423%29 Jun
inferno13–16-0.0126%28 Jun
anubis15–190.0128%28 Jun
mirage9–13-0.0334%27 Jun
dust213–70.0329%27 Jun
ancient13–30.1023%27 Jun
ancient17–19-0.0028%27 Jun
anubis13–70.0511%27 Jun
inferno13–10.1345%27 Jun
dust211–130.0723%27 Jun
dust216–130.0030%26 Jun
dust27–13-0.0348%26 Jun
anubis11–13-0.0125%26 Jun
dust210–13-0.0126%24 Jun
overpass13–7-0.0418%24 Jun
cache16–13-0.0423%24 Jun
inferno7–130.0028%24 Jun
ancient9–130.0123%13 Jun
dust213–11-0.0014%13 Jun
train6–130.0318%13 Jun
dust213–50.0427%13 Jun
inferno11–130.0314%11 Jun
anubis11–1-0.0121%11 Jun
dust211–130.0218%11 Jun
ancient6–13-0.0729%11 Jun
cache13–60.0021%11 Jun
ancient13–100.068%10 Jun
inferno9–13-0.0225%10 Jun
cache13–8-0.0725%10 Jun
dust213–9-0.0128%10 Jun
mirage8–13-0.0923%9 Jun
nuke5–13-0.0717%9 Jun
ancient9–13-0.0416%9 Jun
ancient13–60.0225%8 Jun
nuke8–130.0225%8 Jun
inferno13–80.0316%8 Jun
dust212–16-0.0523%8 Jun
inferno14–160.0627%3 Jun
nuke3–13-0.0727%3 Jun
dust213–110.0540%3 Jun
mirage13–9-0.0414%3 Jun
nuke17–190.0018%2 Jun
dust210–13-0.0123%2 Jun
mirage13–7-0.0124%2 Jun
cache13–40.1426%1 Jun
ancient8–13-0.0120%1 Jun
mirage13–40.0023%1 Jun
dust213–60.0323%1 Jun
nuke13–16-0.0513%29 May
dust210–13-0.0319%29 May

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 →