MYTHOS_ICE

MYTHOS_ICE — CS2 Stats

76561199276797069[U:1:1316531341]Steam profile ↗✓ No bans

3,297Tracked matches43%Win rate2022Tracked since
5,405Hours in CS38Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

+64Tracked matches · now 3,297
0.0ppWin rate · 43.3% → 43.3%

Rating over time

2,157Highest Faceit ELO seen on CSDB
35Days played since 2026-05-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 rate42.7%46.8%48.2%5.5% short
Shot accuracy6.2%13.0%13.2%7.0% short
Kill/death ratio1.011.061.070.06 short
Match win rate54.7%46.3%46.9%above

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

Widest gap: Shot accuracy. 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.GGMYTHOS_ICEFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO2,157csdb.gg/stats

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Performance scores

Aim75
Positioning69
Utility68

0–100 skill scores via Leetify.

Recent form

COLD44–56Last 10044%Win rateLLLLWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · −28ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 526ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

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 (+1.3 against its own average).

Aim7.5
Utility6.8
Positioning6.9
Opening Duels5.8
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.

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

m0NESY

Plays most like m0NESY 84% 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

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

Areas to improve

T-side openings. Opening success drops from 62% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms 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

Aim7.5
Positioning6.9
Utility6.8
Mechanics6.2
Opening Duels6.1
Win Impact2.8

Composite 6.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time569ms−45ms
first ⅓ avg 614ms → last ⅓ avg 569ms
Headshot accuracy19.3%−2.1%
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.

Personal bests

0.22Best match rating · 12–0 · ancient, 25 Aug →
36%Best headshot accuracy · 11–13 · dust2, 10 Jun →
406msFastest reaction time · 9–13 · vertigo, 21 May →
12–0Biggest win · ancient, 25 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
8–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
dust2B2813–1546%0.02
mirageD237–1630%-0.00
infernoC125–742%0.03
nukeA117–464%0.05
anubisB105–550%0.01
ancientS75–271%0.05
cacheC52–340%-0.01
vertigo—30–30%0.03
overpass—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,374Lifetime kills
1.01K/D
5,744Matches
54.7%Match win rate · Top 10% of Level 8 players
42.7%Headshot %
6.2%Shot accuracy
15,793MVPs
4,152Hours (in match)
7,579Bombs planted
1,768Bombs defused

Most-used weapons

AK-4744,662
MP95,352
MAC-104,432
Knife3,931
AWP1,925

Lifetime map wins

14,436inferno
10,681dust2
7,838nuke
4,611vertigo
683train
34cbble
13office
1ar_shoots

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

Faceit stats

Combat

1,983Matches
49%Win rate
1.07Avg K/D
84.2ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage49948%1.0515.4
Inferno31650%1.1316.0
Ancient30150%1.0916.3
Anubis27146%1.0416.0
Dust226746%1.0515.8
Nuke14054%1.0816.4
Vertigo12855%1.0316.5
Overpass4349%1.0415.1

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.

19.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.2%Spray accuracy
77.9%Counter-strafing
9.3°Preaim
575msReaction time
46.8%T opening success
62.1%CT opening success
0.69Enemies flashed / flash
7.5%Flash assists
9.49HE damage / grenade
11.78Flashes / match

Recommended for you

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis14–16-0.0023%31 Oct →
mirage5–13-0.0614%31 Oct →
overpass9–130.0225%31 Oct →
cache9–13-0.0315%31 Oct →
dust213–9-0.0214%31 Oct →
inferno11–130.1021%31 Oct →
nuke13–70.1833%31 Oct →
mirage5–13-0.0326%27 Oct →
ancient7–13-0.0424%25 Oct →
mirage13–80.0516%24 Oct →
inferno5–13-0.0213%22 Oct →
ancient13–7-0.0214%22 Oct →
nuke4–13-0.0422%6 Oct →
inferno7–130.1322%25 Aug →
ancient12–00.228%25 Aug →
dust20–13-0.1228%25 Aug →
mirage11–13-0.0226%25 Aug →
dust27–130.0419%7 Aug →
inferno13–110.0117%7 Aug →
dust27–13-0.0116%7 Aug →
mirage13–10-0.0221%7 Aug →
inferno13–40.0215%5 Aug →
anubis13–90.0421%5 Aug →
mirage10–13-0.0512%3 Aug →
dust213–3-0.0314%3 Aug →
nuke13–100.1021%31 Jul →
mirage8–13-0.0319%31 Jul →
dust213–110.0031%31 Jul →
mirage8–130.0016%31 Jul →
dust216–130.0316%31 Jul →
mirage7–13-0.0031%22 Jul →
anubis4–13-0.0813%21 Jul →
mirage10–130.0513%21 Jul →
dust28–13-0.0215%21 Jul →
nuke11–130.0322%21 Jul →
nuke13–90.0313%20 Jul →
mirage7–130.0215%20 Jul →
ancient13–60.0216%20 Jul →
inferno9–130.0516%20 Jul →
mirage0–13-0.040%17 Jul →
dust216–130.0123%16 Jul →
inferno13–160.0431%16 Jul →
mirage13–10-0.0526%16 Jul →
mirage16–120.0515%8 Jul →
anubis10–13-0.0413%8 Jul →
nuke13–90.1019%8 Jul →
ancient13–10.0314%8 Jul →
anubis5–13-0.0811%24 Jun →
nuke10–130.0124%18 Jun →
mirage8–13-0.0017%18 Jun →
ancient11–13-0.019%18 Jun →
dust216–14-0.0020%17 Jun →
anubis13–90.0625%17 Jun →
nuke13–90.0022%17 Jun →
vertigo8–13-0.0213%17 Jun →
mirage13–90.0214%17 Jun →
inferno13–6-0.0116%17 Jun →
nuke13–80.0418%16 Jun →
mirage10–130.0128%16 Jun →
dust213–30.1215%16 Jun →
inferno13–110.0517%10 Jun →
mirage11–13-0.0120%10 Jun →
nuke13–20.0922%10 Jun →
ancient13–20.1221%10 Jun →
dust211–130.0236%10 Jun →
anubis13–50.1326%10 Jun →
dust210–13-0.0422%9 Jun →
mirage13–16-0.0413%9 Jun →
dust29–130.1026%2 Jun →
anubis13–80.0621%26 May →
inferno4–13-0.0418%26 May →
vertigo9–130.0528%21 May →
dust213–11-0.0112%20 May →
nuke13–160.0221%20 May →
inferno13–80.0313%20 May →
dust211–130.0527%20 May →
cache13–10-0.0128%19 May →
anubis6–130.0225%19 May →
dust210–13-0.0426%19 May →
mirage9–130.0121%19 May →
dust24–130.0320%19 May →
cache13–90.0433%18 May →
dust26–13-0.0718%18 May →
dust27–130.0322%18 May →
dust23–130.0423%17 May →
vertigo1–90.0516%14 May →
dust216–140.0819%14 May →
mirage12–160.0422%13 May →
cache5–13-0.0212%13 May →
dust213–80.0615%13 May →
inferno9–13-0.0024%13 May →
dust211–130.0123%13 May →
mirage13–110.0224%12 May →
anubis13–10-0.0119%12 May →
dust213–11-0.0233%12 May →
dust211–130.0629%11 May →
dust213–100.0925%11 May →
cache7–13-0.0115%11 May →
mirage13–6-0.0021%11 May →
dust213–90.0718%10 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.