mynthon

mynthon — CS2 Stats

FI76561197989202060[U:1:28936332]Steam profile ↗✓ No bans

1,869Tracked matches59%Win rate2020Tracked since
2,926Hours in CS10Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating23,475Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#38518 of 259896 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (11 days ago). 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: 23,475 +2,338 22 May – 24 Oct · 6 days played
21,13723,475peak 23,47522 May24 Oct
23,475Peak Premier in tracked matches
39Days played since 2026-05-05

Premier CS Rating

  • At peak — 23,475
  • Next: Red band at 25,000 — 1,525 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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate37.0%45.7%46.8%9.8% short
Shot accuracy12.1%12.7%13.0%0.9% short
Kill/death ratio0.921.051.060.14 short
Match win rate43.7%45.7%46.3%2.6% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmynthonFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER23,475 · Pink bandcsdb.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

Aim61
Positioning52
Utility53

0–100 skill scores via Leetify.

Recent form

HOT55–44–1Last 10055%Win rateLLWWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −0.9pp headshot accuracy · −20ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 695ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 595ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 605ms

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 (+1.3 against its own average).

Aim6.1
Utility5.3
Positioning5.2
Opening Duels1.7
Clutch4.0

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 576ms 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

Aim6.1
Positioning5.2
Utility5.3
Mechanics6.9
Opening Duels2.3
Win Impact7.9

Composite 5.8/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time575ms−20ms
first ⅓ avg 595ms → last ⅓ avg 575ms
Headshot accuracy12.4%−2.8%
first ⅓ avg 15.3% → last ⅓ avg 12.4%

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

0.13Best match rating · 13–5 · nuke, 18 Oct →
33%Best headshot accuracy · 13–11 · cache, 12 May →
406msFastest reaction time · 13–11 · inferno, 23 Oct →
13–0Biggest win · inferno, 2 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
13–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 67% over 21dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%-0.01
nukeB1910–953%-0.00
cacheA1810–856%-0.01
ancientA1811–761%-0.01
anubisB147–750%0.01
dust2D51–420%-0.02
mirageC52–340%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,609Lifetime kills
0.92K/D
3,505Matches
43.7%Match win rate
37.0%Headshot %
12.1%Shot accuracy
6,406MVPs
1,545Hours (in match)
5,813Bombs planted
890Bombs defused

Most-used weapons

AK-4719,436
MP92,125
MAC-101,848
FAMAS1,460
AWP1,377

Lifetime map wins

10,186inferno
6,315nuke
4,370dust2
3,352train
506vertigo
65lake
57italy
52assault

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

Faceit stats

Combat

404Matches
55%Win rate
1.09Avg K/D
72.2ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno9763%1.1113.5
Ancient6856%1.0714.4
Nuke6754%1.0714.3
Anubis5353%1.2915.4
Dust21436%0.8311.8
Overpass1354%1.0111.6
Train1362%0.9914.0
Vertigo850%1.0014.4

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.

12.1%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.0%Spray accuracy
81.2%Counter-strafing
9.8°Preaim
576msReaction time
37.4%T opening success
40.6%CT opening success
0.57Enemies flashed / flash
4.3%Flash assists
9.98HE damage / grenade
5.27Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1048% — below the 15% mark we flag

    Aim Training →
  2. 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 37.4085% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0014%1 Nov →
inferno2–13-0.084%1 Nov →
cache13–80.0125%24 Oct →
cache13–6-0.016%24 Oct →
mirage13–8-0.096%23 Oct →
cache6–13-0.0317%23 Oct →
inferno13–11-0.0119%23 Oct →
ancient13–7-0.066%23 Oct →
anubis13–110.0214%21 Oct →
nuke13–9-0.034%21 Oct →
inferno13–7-0.037%18 Oct →
nuke13–50.1314%18 Oct →
nuke3–13-0.060%17 Oct →
cache8–13-0.0415%17 Oct →
ancient13–10-0.078%17 Oct →
ancient9–13-0.0311%16 Oct →
cache13–7-0.029%16 Oct →
inferno8–13-0.0523%16 Oct →
mirage9–13-0.0517%16 Oct →
nuke10–13-0.0522%16 Oct →
dust215–15-0.0214%15 Oct →
mirage13–11-0.048%15 Oct →
mirage10–13-0.037%15 Oct →
inferno13–60.1013%11 Oct →
anubis13–110.0514%11 Oct →
anubis13–90.0113%4 Oct →
inferno13–50.0212%4 Oct →
nuke9–13-0.0210%2 Oct →
ancient13–70.0517%2 Oct →
anubis9–130.047%2 Oct →
inferno2–13-0.0614%2 Oct →
cache13–6-0.0120%1 Oct →
anubis10–13-0.0420%1 Oct →
dust23–13-0.0718%27 Sept →
inferno7–130.0120%27 Sept →
inferno13–16-0.0715%22 Sept →
anubis13–9-0.0110%22 Sept →
anubis7–130.0520%20 Sept →
nuke13–100.0115%20 Sept →
cache8–130.0213%17 Sept →
inferno13–8-0.0112%17 Sept →
nuke13–16-0.0612%16 Sept →
inferno13–8-0.0319%16 Sept →
cache16–120.0413%16 Sept →
nuke8–13-0.0214%13 Sept →
inferno13–70.0224%13 Sept →
cache1–13-0.0417%11 Sept →
ancient2–8-0.0624%11 Sept →
mirage6–13-0.043%11 Sept →
inferno5–13-0.1118%11 Sept →
dust213–11-0.0118%11 Sept →
inferno11–13-0.079%11 Sept →
ancient13–60.028%11 Sept →
inferno13–60.0410%8 Sept →
cache13–80.0314%8 Sept →
ancient13–16-0.0516%7 Sept →
inferno19–17-0.0013%7 Sept →
nuke16–140.0518%6 Sept →
anubis5–130.0123%4 Sept →
ancient13–110.0011%4 Sept →
nuke10–130.0413%4 Sept →
ancient13–100.1113%4 Sept →
anubis7–13-0.065%4 Sept →
inferno13–00.115%2 Sept →
nuke16–13-0.0317%2 Sept →
ancient19–150.0416%31 Aug →
anubis5–13-0.0320%29 Aug →
inferno13–11-0.0116%29 Aug →
cache13–9-0.0410%29 Aug →
nuke13–60.0614%29 Aug →
ancient13–10-0.0211%29 Aug →
cache13–10.0410%29 Aug →
ancient5–13-0.0524%28 Aug →
dust29–13-0.0214%28 Aug →
cache11–130.0115%28 Aug →
anubis13–60.0711%28 Aug →
nuke10–13-0.0221%28 Aug →
nuke13–80.028%26 Aug →
ancient9–13-0.0517%26 Aug →
ancient11–13-0.065%23 Aug →
nuke13–11-0.049%13 Aug →
ancient13–60.019%13 Aug →
anubis13–90.0514%12 Aug →
cache13–3-0.0015%12 Aug →
cache11–130.0012%10 Aug →
nuke10–13-0.0120%10 Aug →
ancient7–13-0.0413%27 May →
cache3–13-0.0816%27 May →
inferno13–70.0110%25 May →
ancient16–130.0318%25 May →
inferno13–10-0.0115%22 May →
nuke13–80.0115%22 May →
nuke13–110.0413%12 May →
cache13–11-0.0133%12 May →
cache3–13-0.0219%11 May →
anubis11–130.0116%11 May →
nuke3–13-0.0615%10 May →
anubis13–11-0.0416%5 May →
ancient13–8-0.0324%5 May →
inferno13–40.0225%5 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 →

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