AbsolutJohnny

AbsolutJohnny — CS2 Stats

DE76561198213768109[U:1:253502381]Steam profile ↗✓ No bans

5,773Tracked matches53%Win rate2021Tracked since
11,188Hours in CS
CSDB Rating5.9 SolidPositional Player
FaceitLevel 10 · 1,785 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,785 → 1,785
+95Tracked matches · now 5,773
+16.7ppWin rate · 36.7% → 53.3%

Rating over time

Premier CS Rating: 16,546 -199 18 May – 3 Jul · 4 days played
16,54616,745peak 16,74518 May3 Jul
Faceit ELO: 1,785 +0 29 Aug – 11 Oct · 2 observations
1,7851,785peak 1,78529 Aug11 Oct
16,745Peak Premier in tracked matches
1,785Highest Faceit ELO seen on CSDB
70Days played since 2026-05-13

Faceit ELO

  • At peak — 1,785
  • Next: Level 10 at 2,001 — 216 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate56.1%50.9%
Shot accuracy12.3%13.7%
Kill/death ratio0.841.09
Match win rate45.1%48.4%

Share this profile

CSDB.GGAbsolutJohnnyFACEITLevel 10 · 1,785 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,785csdb.gg/stats

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Performance scores

Aim75
Positioning55
Utility46

0–100 skill scores via Leetify.

Recent form

HOT52–48Last 10052%Win rateLWWWWWWLWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +9ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 533ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 532ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.5
Utility4.6
Positioning5.5
Opening Duels2.5
Clutch3.8

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 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 38% 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

Aim7.5
Positioning5.5
Utility4.6
Mechanics6.4
Opening Duels5.5
Win Impact6.1

Composite 5.9/10 (Solid), 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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time516ms−53ms
first ⅓ avg 569ms → last ⅓ avg 516ms
Headshot accuracy19.7%+4.4%
first ⅓ avg 15.4% → last ⅓ avg 19.7%

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

0.12Best match rating · 13–3 · dust2, 6 Oct →
38%Best headshot accuracy · 6–13 · dust2, 12 Jun →
391msFastest reaction time · 8–13 · inferno, 19 Sept →
13–1Biggest win · ancient, 12 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 68% over 22dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.03
mirageS2215–768%-0.03
cacheA2112–957%-0.01
dust2D124–833%0.00
ancientB126–650%-0.00
nukeB63–350%-0.01
anubis—41–325%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

292,017Lifetime kills
0.84K/D
9,888Matches
45.1%Match win rate
56.1%Headshot % · Top 50% of Level 10 players
12.3%Shot accuracy
23,770MVPs
11,188Hours (in match)
7,104Bombs planted
2,811Bombs defused

Most-used weapons

AK-47174,295
AWP6,640
Knife5,110
FAMAS4,002
MAC-103,601
MP93,489

Lifetime map wins

25,292dust2
24,290inferno
7,820nuke
2,057vertigo
930cbble
832train
58office
30aztec

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

Faceit stats

Combat

5,826Matches
50%Win rate
1.04Avg K/D
75.0ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno73253%1.0915.4
Ancient67551%1.0015.1
Mirage59649%0.9514.2
Dust258048%0.9815.1
Anubis39445%0.9814.3
Nuke29653%1.0515.1
Cache9254%0.8513.3
Overpass8544%1.0916.2

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.

19.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.9%Spray accuracy
78.7%Counter-strafing
10.0°Preaim
516msReaction time
65.2%T opening success
38.4%CT opening success
0.55Enemies flashed / flash
3.2%Flash assists
5.61HE damage / grenade
9.46Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3978% — below the 40% mark we flag

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.

33% win rate across 12 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
nuke9–130.0220%25 Oct →
mirage16–13-0.0133%25 Oct →
inferno13–11-0.039%23 Oct →
cache13–20.0319%22 Oct →
cache13–90.0318%19 Oct →
cache13–8-0.0428%18 Oct →
inferno13–80.0416%18 Oct →
inferno10–13-0.0612%16 Oct →
inferno13–90.0218%15 Oct →
inferno16–130.0212%14 Oct →
inferno10–13-0.0119%14 Oct →
dust211–13-0.0322%13 Oct →
dust213–70.0119%12 Oct →
dust214–160.0521%9 Oct →
mirage13–8-0.0519%8 Oct →
ancient13–40.0326%8 Oct →
dust213–30.1225%6 Oct →
ancient11–13-0.0110%6 Oct →
cache20–220.0419%3 Oct →
cache7–13-0.0420%27 Sept →
inferno11–130.0014%22 Sept →
inferno9–13-0.0312%20 Sept →
inferno8–13-0.0729%19 Sept →
ancient3–13-0.0121%19 Sept →
dust25–13-0.0425%16 Sept →
nuke17–19-0.0323%14 Sept →
mirage16–13-0.0220%13 Sept →
cache13–7-0.0610%12 Sept →
mirage13–100.0626%10 Sept →
cache13–70.0421%8 Sept →
mirage13–10-0.0415%7 Sept →
cache13–16-0.0418%31 Aug →
inferno9–130.0033%31 Aug →
inferno13–100.0312%31 Aug →
ancient8–13-0.0632%19 Aug →
nuke7–13-0.0020%15 Aug →
nuke16–14-0.0216%14 Aug →
anubis11–13-0.0212%12 Aug →
mirage13–16-0.0113%11 Aug →
nuke13–9-0.0611%10 Aug →
dust210–13-0.0610%7 Aug →
cache10–13-0.046%6 Aug →
cache11–130.0916%6 Aug →
inferno16–14-0.1114%6 Aug →
mirage13–110.0717%5 Aug →
mirage16–13-0.0321%4 Aug →
cache6–13-0.0315%2 Aug →
cache10–13-0.0115%1 Aug →
mirage6–13-0.0710%29 Jul →
mirage6–13-0.1112%29 Jul →
inferno13–11-0.0116%26 Jul →
mirage13–4-0.0214%25 Jul →
cache13–10-0.0319%25 Jul →
inferno11–13-0.0322%25 Jul →
inferno7–13-0.0810%24 Jul →
mirage19–150.0120%24 Jul →
mirage13–5-0.038%17 Jul →
inferno16–140.0215%14 Jul →
ancient13–60.0217%13 Jul →
cache13–60.0315%13 Jul →
cache13–6-0.0115%13 Jul →
ancient13–40.0015%13 Jul →
mirage13–11-0.058%13 Jul →
cache13–5-0.0510%13 Jul →
mirage3–13-0.0415%13 Jul →
dust213–50.1123%12 Jul →
ancient13–1-0.029%12 Jul →
mirage9–13-0.0317%11 Jul →
mirage13–1-0.0912%9 Jul →
inferno13–20.0311%9 Jul →
cache13–6-0.019%9 Jul →
cache6–13-0.077%8 Jul →
inferno13–8-0.0315%8 Jul →
ancient9–13-0.1116%3 Jul →
ancient13–100.1015%27 Jun →
mirage13–10.0420%26 Jun →
anubis8–130.0417%26 Jun →
ancient13–90.1210%25 Jun →
inferno3–13-0.1410%23 Jun →
inferno19–170.0120%20 Jun →
dust25–13-0.0615%20 Jun →
dust25–130.0129%14 Jun →
mirage4–13-0.1012%12 Jun →
dust26–13-0.0838%12 Jun →
ancient9–13-0.0310%9 Jun →
cache13–30.0718%8 Jun →
mirage16–140.0211%7 Jun →
dust26–13-0.057%3 Jun →
cache13–8-0.0122%2 Jun →
anubis13–8-0.079%29 May →
inferno6–13-0.0413%29 May →
inferno4–13-0.0825%23 May →
mirage9–13-0.0418%22 May →
mirage13–11-0.049%18 May →
anubis3–13-0.0413%18 May →
nuke13–10.0422%16 May →
dust216–140.0119%15 May →
ancient11–13-0.0517%14 May →
inferno8–13-0.075%13 May →
cache9–13-0.0115%13 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.