Dionmk — CS2 Stats

76561198314468367[U:1:354202639]✓ No bans

1,201Tracked matches43%Win rate2020Tracked since
2,416Hours in CS
CSDB Rating3.6 Learning
FaceitLevel 8 · 1,737 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 rate58.9%47.2%49.0%above
Shot accuracy14.2%12.3%13.1%above
Kill/death ratio1.371.071.08above
Match win rate41.6%46.3%46.9%5.3% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGDionmkFACEITLevel 8 · 1,737 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning49
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY4456Last 10044%Win rateLWWLLWLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.8
Aggression4.6
Utility5.9
Positioning4.9
Opening Duels0.5
Clutch2.6

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.8
Positioning4.9
Utility5.9
Mechanics2.5
Opening Duels1.0
Win Impact2.8

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time588ms−49ms
first ⅓ avg 637ms → last ⅓ avg 588ms
Headshot accuracy12.2%−0.3%
first ⅓ avg 12.4% → last ⅓ avg 12.2%

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

0.12Best rating — ancient 13–4
131Biggest win — ancient
6Longest win streak
57In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 67% over 12mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC30131743%-0.02
anubisC2081240%-0.02
dust2B137654%-0.03
ancientC125742%-0.01
overpassS128467%-0.01
mirageD51420%-0.04
nukeD51420%-0.05
train31233%0.01

Across the last 100 tracked matches.

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

Lifetime stats

166,655Lifetime kills
1.37K/D · Top 10% of Level 8 players
4,847Matches
41.6%Match win rate
58.9%Headshot % · Top 25% of Level 8 players
14.2%Shot accuracy · Top 50% of Level 8 players
10,463MVPs
2,416Hours (in match)
5,131Bombs planted
1,160Bombs defused

Most-used weapons

AK-4783,123
AWP14,754
MP92,222
MAC-102,132
SG 5531,879

Lifetime map wins

9,391inferno
5,342vertigo
3,922nuke
3,130dust2
2,085train
156aztec
135cbble
120office

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

Faceit stats

Combat

1,385Matches
50%Win rate
0.94Avg K/D
71.2ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno17853%0.8512.8
Ancient13447%0.8613.8
Anubis7447%0.8714.2
Train6962%0.8512.8
Overpass6554%0.8312.8
Nuke5756%0.8914.3
Dust25342%0.7513.3
Mirage2421%0.6512.0

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.

12.6%Headshot accuracy
30.3%Accuracy (enemy spotted)
32.9%Spray accuracy
61.3%Counter-strafing
10.2°Preaim
580msReaction time
25.8%T opening success
38.0%CT opening success
0.53Enemies flashed / flash
10.3%Flash assists
9.40HE damage / grenade
10.73Flashes / 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 12.6234% — 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 25.8005% — below the 40% mark we flag

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.

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

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.028%16 Mar
ancient13–10.0710%16 Mar
overpass13–7-0.0318%15 Mar
inferno7–13-0.0712%15 Mar
ancient10–13-0.049%15 Mar
dust216–12-0.0412%13 Mar
inferno9–13-0.045%13 Mar
ancient13–8-0.0218%13 Mar
ancient13–80.0225%12 Mar
inferno13–80.0317%12 Mar
anubis13–7-0.0611%12 Mar
anubis13–2-0.0116%10 Mar
dust213–10-0.0313%10 Mar
inferno9–130.0110%9 Mar
dust213–110.0516%9 Mar
ancient8–13-0.0512%9 Mar
anubis13–90.0215%9 Mar
inferno11–130.0012%1 Mar
mirage7–130.0015%28 Feb
dust216–14-0.0113%28 Feb
inferno9–13-0.0319%28 Feb
anubis3–13-0.0312%28 Feb
inferno3–13-0.086%28 Feb
ancient6–13-0.0214%28 Feb
dust26–5-0.060%28 Feb
ancient9–13-0.0417%28 Feb
overpass13–80.018%28 Feb
inferno10–13-0.028%28 Feb
dust24–13-0.0914%28 Feb
anubis8–13-0.0110%28 Feb
mirage9–13-0.0412%28 Feb
overpass13–40.078%28 Feb
inferno10–13-0.059%28 Feb
nuke6–13-0.015%27 Feb
ancient13–40.1211%27 Feb
nuke7–13-0.078%27 Feb
inferno8–13-0.088%27 Feb
inferno13–8-0.059%27 Feb
mirage5–13-0.0820%27 Feb
nuke13–5-0.0718%27 Feb
overpass13–3-0.016%27 Feb
anubis10–130.0013%27 Feb
ancient16–19-0.0510%27 Feb
anubis13–7-0.0410%25 Feb
anubis13–16-0.079%25 Feb
dust213–10.0117%24 Feb
inferno13–4-0.0614%24 Feb
dust29–13-0.044%23 Feb
inferno8–130.049%23 Feb
anubis11–13-0.0315%18 Feb
overpass13–10-0.0318%17 Feb
inferno13–9-0.0123%17 Feb
inferno3–13-0.0232%16 Feb
mirage13–16-0.0511%16 Feb
anubis7–13-0.0115%12 Feb
inferno8–130.0219%11 Feb
dust213–60.0010%11 Feb
inferno7–13-0.0312%11 Feb
dust22–13-0.0317%9 Feb
anubis16–130.0211%9 Feb
mirage34–32-0.0214%6 Feb
nuke11–13-0.0616%6 Feb
dust21–13-0.0815%6 Feb
inferno13–9-0.018%6 Feb
overpass9–130.004%6 Feb
dust29–13-0.0412%4 Feb
inferno13–50.017%4 Feb
overpass13–80.008%4 Feb
ancient2–13-0.079%2 Feb
inferno13–6-0.0219%2 Feb
ancient17–19-0.0213%30 Jan
anubis3–130.0414%30 Jan
overpass9–13-0.0512%30 Jan
anubis9–13-0.044%28 Jan
inferno13–16-0.0511%27 Jan
anubis7–13-0.0510%25 Jan
overpass13–70.0017%25 Jan
inferno6–13-0.0410%23 Jan
inferno3–13-0.056%23 Jan
dust213–7-0.0312%23 Jan
anubis13–10-0.035%23 Jan
overpass10–13-0.0213%19 Jan
inferno13–6-0.029%19 Jan
inferno13–11-0.0314%14 Jan
train7–13-0.0324%14 Jan
overpass9–13-0.0512%13 Jan
anubis13–110.0410%13 Jan
inferno13–20.066%12 Jan
anubis13–16-0.0411%12 Jan
nuke5–13-0.0521%12 Jan
overpass16–13-0.0611%10 Jan
inferno13–7-0.0810%10 Jan
train10–130.0617%10 Jan
anubis13–50.0515%10 Jan
anubis14–16-0.0414%10 Jan
inferno13–60.0419%8 Jan
inferno13–6-0.0417%6 Jan
train13–2-0.009%6 Jan
ancient13–3-0.0014%6 Jan
inferno11–13-0.0115%6 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 →