Dxmnn — CS2 Stats

76561199128774334[U:1:1168508606]

1,242Tracked matches53%Win rate2021Tracked since
1,409Hours in CS30Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#8985 of 12249 tracked
FaceitLevel 5 · 1,069 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGDxmnnFACEITLevel 5 · 1,069 ELOSTANDINGTop 67.6% of rankedPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning64
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateLWLLLWLWLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim5.8
Aggression9.3
Utility4.8
Positioning6.4
Opening Duels3.8
Clutch3.4

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

jL

Plays most like jL 88% playstyle similarity

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

Where you differ: lower utility contribution; 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. 61% 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 61% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim5.8
Positioning6.4
Utility4.8
Mechanics5.8
Opening Duels3.8
Win Impact6.1

Composite 5.0/10 (Developing), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time624ms−63ms
first ⅓ avg 688ms → last ⅓ avg 624ms
Headshot accuracy19.5%−1.1%
first ⅓ avg 20.7% → last ⅓ avg 19.5%

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

0.15Best rating — overpass 9–0
130Biggest win — ancient
5Longest win streak
913In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeS2014670%0.02
ancientB1910953%0.01
mirageC1881044%0.00
overpassC135838%0.02
infernoD103730%0.00
dust2C83538%-0.03
anubisB63350%0.03
train32167%0.01
cache2020%0.03
vertigo1010%-0.05

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.

Lifetime stats

33,924Lifetime kills
1.05K/D · Top 50% of tracked players
1,887Matches
41.9%Match win rate
45.7%Headshot %
13.0%Shot accuracy · Top 50% of tracked players
4,011MVPs
638Hours (in match)
1,540Bombs planted
361Bombs defused

Most-used weapons

Lifetime map wins

2,933nuke
2,436dust2
1,999inferno
1,110vertigo
517train
126office
91lake
83cbble

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

Faceit stats

Combat

182Matches
51%Win rate
1.13Avg K/D
81.0ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3656%1.2916.7
Dust21878%1.1915.2
Ancient1450%1.1616.6
Anubis1258%1.0314.8
Inferno1217%1.0517.4
Cache1040%1.2417.9
Nuke771%0.9913.9
Vertigo333%0.9216.7

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.

20.1%Headshot accuracy
33.6%Accuracy (enemy spotted)
34.7%Spray accuracy
76.2%Counter-strafing
11.4°Preaim
630msReaction time
29.9%T opening success
60.5%CT opening success
0.55Enemies flashed / flash
8.8%Flash assists
4.52HE damage / grenade
13.35Flashes / 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 29.8972% — 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 & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage0–11-0.0419%26 Aug
mirage13–10.0817%25 Aug
cache11–130.0530%24 Aug
cache9–130.0135%23 Aug
vertigo10–13-0.0520%23 Aug
dust213–4-0.0211%23 Aug
inferno8–13-0.0343%2 May
mirage13–90.0021%2 May
mirage8–130.0321%22 Apr
mirage9–20.0316%22 Apr
overpass13–40.0024%24 Feb
mirage16–14-0.0211%24 Feb
overpass11–130.0418%23 Feb
nuke13–11-0.0215%23 Feb
mirage13–10-0.0515%23 Feb
ancient10–13-0.0120%23 Feb
overpass4–130.0223%22 Feb
mirage3–13-0.058%22 Feb
nuke13–50.0723%22 Feb
inferno14–16-0.0219%22 Feb
nuke13–50.0516%22 Feb
anubis11–130.0815%22 Feb
nuke13–60.0331%21 Feb
overpass11–130.0321%21 Feb
inferno13–110.0117%21 Feb
mirage13–20.0624%21 Feb
anubis13–40.0418%20 Feb
nuke13–60.1418%20 Feb
ancient13–40.1222%20 Feb
mirage2–11-0.047%20 Feb
ancient14–160.0219%20 Feb
mirage13–100.0715%20 Feb
overpass10–13-0.0513%20 Feb
nuke13–80.0317%20 Feb
dust211–130.0221%20 Feb
ancient5–13-0.070%18 Feb
dust21–13-0.1019%18 Feb
ancient13–60.0222%4 Feb
overpass16–140.0311%3 Feb
ancient11–13-0.0417%3 Feb
overpass9–00.1521%3 Feb
mirage13–160.1115%3 Feb
dust25–13-0.0516%3 Feb
ancient3–13-0.0415%31 Jan
anubis9–13-0.0518%31 Jan
dust216–14-0.0325%31 Jan
ancient8–130.0920%31 Jan
anubis13–110.0722%30 Jan
nuke15–150.0717%30 Jan
ancient13–6-0.0217%30 Jan
ancient13–110.0420%28 Jan
nuke13–8-0.0129%28 Jan
ancient13–60.0522%28 Jan
inferno9–13-0.0029%28 Jan
anubis9–130.0123%28 Jan
inferno9–130.0225%26 Jan
nuke13–80.0719%26 Jan
anubis13–90.0224%26 Jan
nuke9–130.0136%26 Jan
nuke9–13-0.0124%26 Jan
dust25–13-0.068%26 Jan
dust29–13-0.0221%26 Jan
mirage10–13-0.0429%8 Dec
mirage12–16-0.0414%30 Nov
inferno7–13-0.0617%23 Nov
ancient10–13-0.0610%22 Nov
train8–13-0.0319%20 Nov
nuke11–13-0.0220%20 Nov
mirage12–16-0.0216%19 Nov
inferno13–90.0321%19 Nov
ancient13–7-0.0124%18 Nov
ancient14–160.0017%14 Nov
dust213–20.0420%14 Nov
overpass11–13-0.0636%9 Nov
nuke13–30.0222%9 Nov
ancient6–13-0.0521%6 Nov
nuke13–9-0.0212%5 Nov
nuke13–100.0116%4 Nov
overpass11–130.0126%4 Nov
inferno16–140.0316%4 Nov
nuke16–12-0.0718%4 Nov
ancient13–100.0715%3 Nov
overpass14–160.0122%3 Nov
mirage8–13-0.0220%3 Nov
nuke7–13-0.0119%3 Nov
nuke13–90.0723%3 Nov
train13–80.0716%2 Nov
mirage6–13-0.0422%30 Oct
overpass8–130.0212%30 Oct
nuke13–110.0432%30 Oct
train13–4-0.0021%30 Oct
ancient13–00.1213%30 Oct
inferno8–130.016%28 Oct
nuke7–130.0113%28 Oct
overpass13–50.1227%28 Oct
mirage13–70.0143%28 Oct
inferno6–130.0421%28 Oct
overpass13–10-0.0019%28 Oct
ancient13–9-0.0334%28 Oct
ancient13–5-0.0018%28 Oct

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 →