DEADTLON

DEADTLON — CS2 Stats

CA76561198930414290[U:1:970148562]Steam profile ↗✓ No bans

2,264Tracked matches53%Win rate2020Tracked since
1,779Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating22,896Top 50% of 819 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#5142 of 19347 tracked
FaceitLevel 8 · 1,903 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGDEADTLONFACEITLevel 8 · 1,903 ELOSTANDINGTop 31.2% of rankedPREMIER22,896 · 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

Aim67
Positioning41
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLLWWWLWWLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.7
Aggression1.6
Utility7.5
Positioning4.1
Opening Duels0.0
Clutch3.6

High utility contribution

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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 621ms 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

Aim6.7
Positioning4.1
Utility7.5
Mechanics7.4
Opening Duels0.6
Win Impact6.1

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time630ms+6ms
first ⅓ avg 623ms → last ⅓ avg 630ms
Headshot accuracy20.4%+4.9%
first ⅓ avg 15.5% → last ⅓ avg 20.4%

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

0.17Best rating — italy 13–1
131Biggest win — inferno
4Longest win streak
L2Current streak
85In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 58% over 24infernoWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A24141058%0.01
nukeC1881044%-0.00
mirageA1810856%0.03
infernoD1521313%0.00
trainA74357%0.01
ancientD62433%-0.00
cache42250%0.02
anubis41325%-0.01
italy42250%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,938Lifetime kills
1.17K/D · Top 50% of Pink band
3,765Matches
52.3%Match win rate · Top 25% of Pink band
38.1%Headshot %
7.6%Shot accuracy
10,542MVPs
1,779Hours (in match)
5,877Bombs planted
1,223Bombs defused

Most-used weapons

AK-4720,301
AWP11,310
MP93,586
MAC-102,289
P2501,239

Lifetime map wins

7,630dust2
4,504inferno
3,995nuke
1,586train
1,063office
612vertigo
426italy
116cbble

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

Faceit stats

Combat

799Matches
51%Win rate
1.10Avg K/D
77.8ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust220047%1.1215.3
Mirage18752%1.0915.1
Inferno12150%1.1015.6
Nuke10358%0.9914.8
Ancient7254%1.1615.8
Anubis4646%1.1516.4
Train3563%1.1715.7
Overpass1040%1.0815.2

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.

20.7%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.7%Spray accuracy
83.5%Counter-strafing
11.7°Preaim
621msReaction time
22.0%T opening success
35.0%CT opening success
0.67Enemies flashed / flash
6.8%Flash assists
7.35HE damage / grenade
18.03Flashes / 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 21.9962% — 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.

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0221%20 Aug
nuke11–13-0.0214%10 Aug
mirage13–40.0824%10 Aug
dust213–3-0.0024%10 Aug
nuke13–110.0028%10 Aug
inferno4–13-0.0933%10 Aug
nuke13–4-0.0216%10 Aug
dust213–90.0319%9 Aug
inferno11–13-0.0215%9 Aug
ancient10–13-0.0329%9 Aug
dust212–50.0626%9 Aug
dust27–13-0.0412%9 Aug
mirage13–9-0.0213%9 Aug
nuke13–20.0215%9 Aug
mirage13–80.0818%9 Aug
dust210–1-0.0214%9 Aug
mirage10–130.0324%8 Aug
cache13–90.0631%8 Aug
ancient10–13-0.0618%8 Aug
nuke6–13-0.0418%7 Aug
dust27–13-0.0119%6 Aug
train6–130.0121%5 Aug
inferno5–130.0124%4 Aug
mirage13–110.0526%3 Aug
anubis13–40.0616%3 Aug
dust213–5-0.0219%3 Aug
mirage10–130.0521%3 Aug
nuke9–13-0.0618%2 Aug
mirage13–80.0716%2 Aug
nuke13–80.0526%2 Aug
mirage25–220.0615%2 Aug
mirage0–13-0.0313%1 Aug
inferno13–80.0427%1 Aug
dust213–60.0713%31 Jul
dust213–70.018%31 Jul
dust29–130.0016%31 Jul
anubis10–13-0.0415%30 Jul
mirage7–13-0.0329%30 Jul
dust213–110.0530%29 Jul
nuke13–80.0118%29 Jul
inferno11–13-0.0713%25 Jul
mirage13–6-0.0515%25 Jul
dust27–130.0422%25 Jul
nuke13–80.0222%25 Jul
mirage13–70.0419%25 Jul
ancient16–140.018%24 Jul
mirage7–130.0118%24 Jul
anubis10–13-0.027%24 Jul
inferno7–13-0.0115%24 Jul
mirage16–130.0118%24 Jul
dust213–90.0421%23 Jul
nuke11–13-0.0127%23 Jul
nuke13–11-0.056%23 Jul
dust213–110.0114%23 Jul
cache7–130.0521%23 Jul
cache13–9-0.0218%22 Jul
dust213–7-0.0418%22 Jul
ancient13–80.0413%22 Jul
inferno13–16-0.0018%22 Jul
inferno6–130.0815%20 Jul
dust28–13-0.0314%20 Jul
nuke7–130.0423%20 Jul
inferno9–130.0615%20 Jul
nuke10–130.1325%20 Jul
mirage7–130.0527%12 Jul
inferno10–13-0.0620%12 Jul
ancient5–13-0.0619%8 Jul
cache2–110.0015%7 Jul
dust29–13-0.066%7 Jul
inferno3–130.1013%5 Jul
ancient9–130.0916%5 Jul
anubis12–12-0.0410%5 Jul
mirage13–90.0812%5 Jul
nuke10–130.0721%5 Jul
inferno12–12-0.079%21 Jun
dust213–5-0.0319%18 Jun
inferno5–130.0410%18 Jun
nuke13–7-0.0612%17 Jun
dust213–70.0312%14 Jun
mirage0–3-0.0225%12 Jun
inferno6–13-0.0517%12 Jun
train13–7-0.0732%8 Jun
dust27–130.0515%8 Jun
nuke7–13-0.0419%8 Jun
inferno13–10.1236%3 Jun
dust213–40.0214%31 May
mirage11–130.0319%4 May
nuke3–13-0.100%4 May
dust24–13-0.0017%4 May
train13–6-0.008%3 May
train4–40.0715%3 May
train8–130.037%29 Apr
train12–120.0119%27 Apr
dust212–120.0519%12 Apr
italy5–13-0.0315%11 Apr
nuke9–130.0111%10 Apr
train13–110.0120%10 Apr
italy13–90.0910%10 Apr
italy5–130.0124%10 Apr
italy13–10.1714%10 Apr

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 →