Mythd

Mythd — CS2 Stats

DE76561197963295670[U:1:3029942]Steam profile ↗✓ No bans

1,150Tracked matches63%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
CSDB Leaderboard#75599 of 247857 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,261 +989 19 Jul – 13 Aug · 18 days played
19,27222,053peak 22,05319 Jul13 Aug
22,347Peak Premier in tracked matches
27Days played since 2026-07-19

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

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CSDB.GGMythdFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning51
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWLWWWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · +51ms reaction

Win rate down 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 566ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 582ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim7.1
Utility7.4
Positioning5.1
Opening Duels2.6
Clutch3.6

Effective flashes

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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 594ms 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
Positioning5.1
Utility7.4
Mechanics6.1
Opening Duels2.4
Win Impact9.4

Composite 6.4/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time594ms+14ms
first ⅓ avg 579ms → last ⅓ avg 594ms
Headshot accuracy16.9%−1.7%
first ⅓ avg 18.6% → last ⅓ avg 16.9%

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 · 13–3 · overpass, 20 Jul →
34%Best headshot accuracy · 13–3 · overpass, 20 Jul →
391msFastest reaction time · 4–13 · ancient, 13 Aug →
13–1Biggest win · anubis, 21 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA2715–1256%0.01
cacheA1911–858%0.02
dust2B157–847%0.01
anubisA148–657%0.03
nukeA117–464%0.02
infernoD103–730%-0.01
mirage—20–20%0.03
overpass—21–150%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

846Matches
51%Win rate
1.29Avg K/D
84.2ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
36%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2875%1.1817.8
Cache771%1.5917.3
Ancient560%1.3714.0
Anubis4100%1.6315.3
Inferno20%0.8915.0
Nuke250%1.4421.0
Mirage20%0.9618.5

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.

17.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.8%Spray accuracy
77.3%Counter-strafing
9.0°Preaim
594msReaction time
36.9%T opening success
42.7%CT opening success
0.76Enemies flashed / flash
5.1%Flash assists
12.77HE damage / grenade
10.76Flashes / 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 36.9013% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0127%26 Sept →
inferno6–13-0.0012%13 Sept →
cache16–140.0427%13 Sept →
dust213–100.0821%10 Sept →
anubis13–10-0.0512%10 Sept →
inferno13–16-0.0112%7 Sept →
anubis13–6-0.0019%5 Sept →
dust24–13-0.0432%5 Sept →
ancient3–13-0.0124%5 Sept →
ancient4–13-0.0310%13 Aug →
cache7–13-0.0514%13 Aug →
anubis13–4-0.0110%13 Aug →
inferno0–13-0.064%13 Aug →
dust213–70.0111%12 Aug →
cache13–90.0118%12 Aug →
ancient8–130.0733%12 Aug →
cache13–80.0317%11 Aug →
ancient13–50.0724%11 Aug →
nuke13–80.1020%9 Aug →
ancient13–60.0613%9 Aug →
dust213–11-0.0124%9 Aug →
cache13–40.0313%9 Aug →
ancient13–70.0520%8 Aug →
anubis13–40.0910%8 Aug →
mirage8–130.0320%8 Aug →
dust213–100.1018%8 Aug →
dust216–130.0117%7 Aug →
inferno11–130.0415%7 Aug →
cache13–30.0612%7 Aug →
mirage13–160.0311%7 Aug →
ancient2–13-0.0113%4 Aug →
ancient15–150.0011%4 Aug →
anubis7–130.0414%4 Aug →
dust27–13-0.0233%3 Aug →
nuke13–70.0616%3 Aug →
ancient5–130.0117%3 Aug →
ancient8–13-0.0222%3 Aug →
anubis10–130.0212%2 Aug →
ancient13–110.0116%2 Aug →
ancient13–90.0115%2 Aug →
inferno3–13-0.0614%2 Aug →
cache13–90.0521%2 Aug →
dust213–110.0523%2 Aug →
nuke10–13-0.027%2 Aug →
cache16–140.0313%2 Aug →
dust210–13-0.029%2 Aug →
anubis7–130.0214%1 Aug →
ancient16–120.0816%1 Aug →
cache9–13-0.0615%1 Aug →
nuke13–90.0432%1 Aug →
anubis13–30.0117%1 Aug →
cache11–130.0126%1 Aug →
ancient4–130.0024%1 Aug →
ancient5–13-0.0516%31 Jul →
cache13–70.0211%31 Jul →
anubis5–13-0.0417%31 Jul →
nuke13–60.1523%31 Jul →
ancient13–90.0316%31 Jul →
inferno3–13-0.0518%30 Jul →
cache5–130.0020%30 Jul →
nuke1–13-0.0217%30 Jul →
overpass8–130.0319%30 Jul →
anubis13–90.1111%29 Jul →
ancient13–80.0520%29 Jul →
dust29–130.049%29 Jul →
nuke13–7-0.0529%28 Jul →
dust210–130.0622%28 Jul →
anubis15–150.0315%28 Jul →
anubis13–20.1630%27 Jul →
cache8–13-0.0228%27 Jul →
nuke13–4-0.028%27 Jul →
ancient13–80.0328%27 Jul →
ancient8–13-0.0117%26 Jul →
cache13–40.0515%26 Jul →
ancient13–10-0.015%26 Jul →
cache13–90.0814%26 Jul →
inferno8–13-0.0218%26 Jul →
ancient10–130.0516%26 Jul →
inferno13–20.0311%26 Jul →
nuke14–160.0517%25 Jul →
cache13–70.0021%25 Jul →
ancient13–10-0.0314%25 Jul →
dust211–13-0.068%25 Jul →
inferno13–100.0126%25 Jul →
ancient5–13-0.0511%24 Jul →
anubis6–13-0.098%24 Jul →
dust29–13-0.0325%24 Jul →
nuke13–10-0.0421%24 Jul →
cache11–130.0215%24 Jul →
cache3–13-0.0321%22 Jul →
inferno16–14-0.0115%22 Jul →
ancient13–50.0215%22 Jul →
anubis13–10.0722%21 Jul →
ancient13–8-0.0116%21 Jul →
cache14–160.0326%21 Jul →
nuke12–16-0.0224%20 Jul →
ancient13–80.0416%20 Jul →
ancient13–50.0231%20 Jul →
overpass13–30.1934%20 Jul →
dust22–13-0.0623%19 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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