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Mynxie

Mynxie — CS2 Stats

DK76561198207738345[U:1:247472617]Steam profile ↗✓ No bans

1,680Tracked matches57%Win rate2023Tracked since
2,072Hours in CS10Hrs last 2 wks
CSDB Rating2.6 Learning
Premier CS Rating3,280Grey band · top ~86.1% of ranked players (population est.)
CSDB Leaderboard#14132 of 18241 tracked
FaceitLevel 2 · 567 ELOTop 97.9% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGMynxieFACEITLevel 2 · 567 ELOSTANDINGTop 97.9% of rankedPREMIER3,280 · Grey bandcsdb.gg/stats

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Performance scores

Aim12
Positioning34
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLTLLWLWWWL

Last 10 vs previous 10: -40pp win rate · -0.07 avg rating

Player DNA

Aim1.2
Aggression3.3
Utility5.6
Positioning3.4
Opening Duels0.0
Clutch2.8

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 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 703ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning3.4
Utility5.6
Mechanics0.6
Opening Duels1.3
Win Impact7.4

Composite 2.6/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time692ms+67ms
first ⅓ avg 624ms → last ⅓ avg 692ms
Headshot accuracy12.4%+2.2%
first ⅓ avg 10.1% → 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.

Highlights

0.37Best rating — inferno 2–0
13–1Biggest win — mirage
4Longest win streak
14–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 86% over 14dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%-0.03
ancientD175–1229%-0.05
nukeS1412–286%-0.03
anubisB115–645%-0.04
overpassC94–544%-0.04
dust2D82–625%-0.07
mirageC83–538%-0.06
vertigo—42–250%-0.03
cache—10–10%-0.10
poseidon—11–0100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,431Lifetime kills
1.10K/D · Top 50% of tracked players
5,801Matches
24.0%Match win rate
31.3%Headshot %
4.5%Shot accuracy
4,248MVPs
1,254Hours (in match)
1,787Bombs planted
408Bombs defused

Most-used weapons

AK-4721,493
M4A4 / M4A1-S9,986
AWP5,553
MP94,657
MAC-104,350
Galil AR4,135
MP73,434
AUG3,329
P2000 / USP-S3,235
SG 5533,182

Lifetime map wins

5,854inferno
2,959vertigo
2,838nuke
1,883dust2
747train
377ar_shoots
175ar_baggage
107safehouse

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

Faceit stats

Combat

247Matches
47%Win rate
0.66Avg K/D
59.5ADR
32%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno6148%0.7411.4
Nuke3959%0.7811.1
Ancient3746%0.7010.8
Anubis3135%0.519.7
Vertigo2143%0.498.3
Dust22143%0.569.5
Overpass2060%0.7411.9
Train743%0.548.1

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.

12.0%Headshot accuracy
29.4%Accuracy (enemy spotted)
30.2%Spray accuracy
52.5%Counter-strafing
13.5°Preaim
703msReaction time
18.9%T opening success
40.1%CT opening success
0.64Enemies flashed / flash
8.0%Flash assists
10.18HE damage / grenade
4.41Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.5261° — above the 12° mark we flag

    Aim Training →
  2. 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 11.9749% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.8049ms — above the 700ms mark we flag

    Aim Training →
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.

25% win rate across 8 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
inferno8–13-0.025%5 May →
cache12–12-0.105%5 May →
ancient8–13-0.065%16 Apr →
anubis9–13-0.0512%16 Apr →
dust213–7-0.066%11 Apr →
ancient2–13-0.120%11 Apr →
mirage13–10-0.0715%11 Apr →
anubis13–50.0013%11 Apr →
overpass13–6-0.0519%11 Apr →
vertigo9–13-0.0514%8 Apr →
vertigo13–4-0.0123%8 Apr →
dust213–11-0.079%7 Apr →
anubis13–4-0.0013%7 Apr →
inferno13–80.0211%7 Apr →
inferno5–13-0.0425%4 Apr →
inferno2–00.3729%4 Apr →
nuke13–30.0813%4 Apr →
mirage4–13-0.0810%4 Apr →
anubis13–11-0.0212%2 Apr →
nuke13–11-0.0724%2 Apr →
inferno5–13-0.0517%2 Apr →
dust25–13-0.0820%29 Mar →
inferno10–130.0415%29 Mar →
nuke13–11-0.064%29 Mar →
inferno11–13-0.0615%26 Mar →
inferno6–13-0.0813%21 Mar →
ancient16–120.028%21 Mar →
overpass13–11-0.054%21 Mar →
nuke13–10-0.039%18 Mar →
vertigo12–12-0.0612%18 Mar →
inferno11–13-0.0411%8 Mar →
ancient5–13-0.0813%5 Mar →
inferno14–16-0.095%5 Mar →
vertigo13–8-0.0123%5 Mar →
inferno9–13-0.0811%4 Mar →
ancient1–13-0.1012%4 Mar →
inferno13–8-0.023%28 Feb →
anubis16–14-0.0312%23 Feb →
nuke13–9-0.067%23 Feb →
anubis11–13-0.0711%23 Feb →
ancient4–13-0.128%22 Feb →
nuke13–7-0.0110%22 Feb →
overpass11–13-0.047%22 Feb →
ancient13–11-0.069%22 Feb →
overpass8–13-0.088%22 Feb →
overpass15–150.0012%22 Feb →
ancient7–13-0.120%22 Feb →
nuke7–13-0.063%22 Feb →
dust24–13-0.0923%20 Feb →
ancient9–13-0.0710%20 Feb →
nuke13–11-0.095%20 Feb →
nuke16–14-0.073%16 Feb →
anubis8–13-0.0410%16 Feb →
ancient13–7-0.078%16 Feb →
inferno13–5-0.075%16 Feb →
overpass5–13-0.0511%15 Feb →
inferno5–13-0.076%15 Feb →
mirage13–10.0012%9 Feb →
ancient10–130.069%9 Feb →
mirage12–16-0.100%9 Feb →
dust29–13-0.0620%9 Feb →
inferno16–140.0515%9 Feb →
overpass7–4-0.063%9 Feb →
dust210–13-0.0517%8 Feb →
mirage11–13-0.056%8 Feb →
inferno1–13-0.080%8 Feb →
ancient10–13-0.0514%8 Feb →
anubis3–13-0.1025%8 Feb →
nuke13–5-0.058%8 Feb →
inferno5–13-0.115%7 Feb →
nuke9–13-0.0613%7 Feb →
mirage7–13-0.074%7 Feb →
inferno13–8-0.0512%7 Feb →
inferno15–15-0.074%7 Feb →
mirage13–7-0.078%7 Feb →
overpass10–13-0.0611%7 Feb →
dust29–13-0.0613%5 Feb →
inferno5–13-0.0515%5 Feb →
ancient13–110.039%5 Feb →
inferno7–13-0.088%1 Feb →
anubis8–13-0.039%1 Feb →
ancient7–13-0.110%1 Feb →
inferno13–7-0.028%31 Jan →
ancient3–13-0.018%29 Jan →
nuke16–14-0.0316%29 Jan →
inferno10–130.0310%28 Jan →
poseidon9–4-0.050%28 Jan →
mirage8–13-0.0616%28 Jan →
nuke10–5-0.017%27 Jan →
anubis13–8-0.089%27 Jan →
inferno13–5-0.045%25 Jan →
ancient9–130.008%25 Jan →
dust211–13-0.0821%21 Jan →
anubis7–13-0.0311%21 Jan →
ancient13–90.018%21 Jan →
inferno9–13-0.0725%21 Jan →
overpass13–7-0.027%21 Jan →
inferno13–11-0.028%21 Jan →
inferno13–8-0.0413%21 Jan →
nuke13–50.078%21 Jan →

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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