ADDICT 4 LIFE

ADDICT 4 LIFE — CS2 Stats

76561199495814220[U:1:1535548492]Steam profile ↗✓ No bans

942Tracked matches52%Win rate2023Tracked since
1,752Hours in CS14Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,407), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.8%42.7%43.8%2.0% short
Shot accuracy2.6%11.3%12.0%9.5% short
Kill/death ratio1.060.991.02above
Match win rate44.6%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGADDICT 4 LIFEFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

HOT40528Last 10040%Win rateWWWWWWLWWT

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +0.5pp headshot accuracy · −52ms reaction

Win rate up 40pp 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

  • 50 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 530ms

Last 10

  • 811 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 516ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim6.9
Utility4.6
Positioning5.6
Opening Duels3.7
Clutch1.2

Effective flashes

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

jL

Plays most like jL 92% playstyle similarity

Most alike: positioning profile, 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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 59% on T to 40% on CT — first contacts on the defending side are being lost.

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

Aim6.9
Positioning5.6
Utility4.6
Mechanics6.1
Opening Duels5.0
Win Impact5.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time537ms−100ms
first ⅓ avg 638ms → last ⅓ avg 537ms
Headshot accuracy19.5%−2.0%
first ⅓ avg 21.5% → 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.

Personal bests

0.28Best match rating · 9–7 · inferno, 16 Aug
48%Best headshot accuracy · 13–9 · dust2, 29 Aug
422msFastest reaction time · 6–13 · inferno, 20 Aug
13–2Biggest win · anubis, 19 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
62In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 65% over 17ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C36132336%0.02
infernoS1711665%0.03
nukeC125742%-0.01
anubisD103730%0.00
mirageC94544%-0.01
ancientD61517%0.01
vertigoC52340%-0.00
cache21150%0.06
overpass1010%0.07
train1010%-0.06
office1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,049Lifetime kills
1.06K/D · Top 50% of Level 4 players
2,518Matches
44.6%Match win rate · Top 50% of Level 4 players
41.8%Headshot %
2.6%Shot accuracy
5,932MVPs
908Hours (in match)
1,775Bombs planted
702Bombs defused

Most-used weapons

Lifetime map wins

4,355inferno
3,093dust2
2,848nuke
1,810vertigo
1,259office
617train
17italy
16cbble

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

Faceit stats

Combat

65Matches
51%Win rate
1.16Avg K/D
83.5ADR
38%Headshot %

Clutches & streaks

26%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1560%1.2617.7
Inferno1136%1.0214.7
Dust21070%1.0914.8
Anubis1060%1.3617.1
Nuke838%1.3220.3
Ancient617%0.7913.7
Train367%1.3014.7
Overpass10%0.9018.0

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.

19.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.3%Spray accuracy
77.3%Counter-strafing
8.4°Preaim
537msReaction time
59.4%T opening success
40.5%CT opening success
0.77Enemies flashed / flash
3.3%Flash assists
8.47HE damage / grenade
6.72Flashes / match

Recommended for you

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–90.0327%20 Sept
cache13–80.0219%20 Sept
dust213–4-0.0127%20 Sept
nuke13–5-0.0121%19 Sept
inferno13–90.0227%19 Sept
anubis13–20.0610%19 Sept
dust210–130.0125%19 Sept
dust213–40.0415%19 Sept
dust213–90.0910%19 Sept
dust212–120.0514%19 Sept
inferno9–70.0415%18 Sept
mirage8–13-0.0128%16 Sept
dust27–130.0112%13 Sept
nuke13–100.0119%13 Sept
dust213–20.2133%13 Sept
mirage5–130.0223%13 Sept
anubis3–13-0.093%12 Sept
dust213–100.0123%12 Sept
ancient10–13-0.0314%12 Sept
dust28–130.0121%12 Sept
mirage4–13-0.0417%12 Sept
dust26–20.0331%12 Sept
dust24–13-0.0727%11 Sept
dust26–13-0.0028%11 Sept
dust27–13-0.0216%11 Sept
anubis13–70.0613%4 Sept
dust210–130.0429%4 Sept
inferno13–70.0417%3 Sept
dust28–130.0012%3 Sept
dust213–110.0318%1 Sept
nuke8–130.0713%1 Sept
dust26–130.0219%1 Sept
cache9–130.1020%1 Sept
nuke13–8-0.0015%30 Aug
mirage13–5-0.0127%30 Aug
vertigo5–3-0.030%30 Aug
nuke8–13-0.0321%30 Aug
dust213–5-0.0618%30 Aug
dust29–130.0116%30 Aug
overpass12–120.0718%29 Aug
inferno1–13-0.0213%29 Aug
dust213–90.0548%29 Aug
dust24–13-0.0124%25 Aug
inferno9–60.1233%25 Aug
anubis12–120.0622%25 Aug
mirage12–12-0.0018%25 Aug
ancient3–130.0215%25 Aug
inferno7–90.0322%25 Aug
anubis13–16-0.0215%23 Aug
anubis13–70.088%23 Aug
anubis12–16-0.0316%23 Aug
mirage13–100.0213%23 Aug
vertigo2–13-0.0523%23 Aug
dust213–50.1115%23 Aug
inferno13–4-0.0335%23 Aug
inferno13–60.0716%23 Aug
nuke0–60.0119%23 Aug
dust22–130.0329%23 Aug
nuke4–130.0524%21 Aug
nuke4–90.0519%21 Aug
inferno13–80.0418%21 Aug
dust213–3-0.0218%21 Aug
inferno6–13-0.0417%20 Aug
dust212–12-0.0113%16 Aug
dust213–10-0.0316%16 Aug
inferno9–70.2824%16 Aug
inferno9–70.0814%15 Aug
inferno8–8-0.2513%14 Aug
inferno9–40.1615%14 Aug
nuke2–9-0.1221%14 Aug
nuke2–9-0.1633%14 Aug
dust22–130.0420%13 Aug
ancient9–130.0625%11 Aug
inferno5–13-0.0219%11 Aug
ancient12–12-0.0515%9 Aug
ancient4–00.0540%9 Aug
dust23–13-0.0317%9 Aug
mirage10–8-0.0421%9 Aug
dust25–130.0422%9 Aug
inferno13–100.0227%9 Aug
nuke13–50.0423%9 Aug
mirage13–40.0125%9 Aug
ancient9–130.0330%9 Aug
dust212–120.1620%9 Aug
train3–13-0.0614%8 Aug
vertigo3–130.0315%1 Aug
vertigo4–13-0.0221%1 Aug
vertigo13–90.0629%1 Aug
anubis8–13-0.0816%23 Jul
anubis5–13-0.0217%22 Jul
anubis10–13-0.0017%22 Jul
office6–13-0.0423%20 Jul
dust23–13-0.126%18 Jul
dust213–100.0121%18 Jul
dust210–130.0126%18 Jul
mirage3–13-0.0327%17 Jul
dust211–130.0616%17 Jul
inferno8–130.0126%17 Jul
dust24–130.0218%17 Jul
dust27–130.0428%17 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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