jackass

jackass — CS2 Stats

DE76561198123087941[U:1:162822213]Steam profile ↗✓ No bans

629Tracked matches70%Win rate2020Tracked since
997Hours in CS
CSDB Rating7.4 StrongAll-Rounder
CSDB Leaderboard#9472 of 259989 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 26,553 +6,775 28 Jan – 25 Sept · 23 days played
19,77826,561peak 26,56128 Jan25 Sept
26,561Peak Premier in tracked matches
34Days played since 2026-01-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim90
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

HOT61–38–1Last 10061%Win rateLWWWWWWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +4.7pp headshot accuracy · −62ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 34%
  • Avg reaction 470ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 29%
  • Avg reaction 482ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 513ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim9.0
Utility6.0
Positioning6.0
Opening Duels4.9

Sharp aimerStrong T-side opener

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: opening-duel success, utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 57% on T to 42% 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

Aim9.0
Positioning6.0
Utility6.0
Mechanics7.7
Opening Duels4.8
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time560ms−43ms
first ⅓ avg 603ms → last ⅓ avg 560ms
Headshot accuracy24.3%+5.1%
first ⅓ avg 19.2% → last ⅓ avg 24.3%

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

0.26Best match rating · 13–6 · mirage, 18 Aug →
83%Best headshot accuracy · 13–9 · mirage, 19 Aug →
219msFastest reaction time · 13–9 · mirage, 19 Aug →
13–2Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
5–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 75% over 12infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%0.03
ancientA1710–759%0.01
nukeS129–375%0.01
overpassS129–375%0.01
anubisA117–464%0.03
mirageS75–271%0.04
infernoD71–614%-0.02
vertigo—32–167%0.11
cache—32–167%0.03
train—11–0100%0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,886Lifetime kills
1.24K/D · Top 25% of tracked players
2,500Matches
55.8%Match win rate · Top 5% of tracked players
40.4%Headshot %
13.8%Shot accuracy · Top 50% of tracked players
6,527MVPs
997Hours (in match)
2,381Bombs planted
469Bombs defused

Most-used weapons

Lifetime map wins

11,580dust2
1,989nuke
1,838inferno
1,049train
334cbble
216vertigo
196office
137aztec

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

Faceit stats

Combat

8Matches
100%Win rate
1.79Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

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.

25.1%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.9%Spray accuracy
84.4%Counter-strafing
8.4°Preaim
545msReaction time
56.7%T opening success
41.6%CT opening success
0.68Enemies flashed / flash
9.4%Flash assists
11.30HE damage / grenade
7.30Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0123%17 Oct →
vertigo13–40.1218%26 Sept →
inferno13–20.1513%25 Sept →
mirage13–90.0483%19 Aug →
dust213–20.0830%19 Aug →
mirage13–60.2629%18 Aug →
ancient9–20.0821%18 Aug →
ancient13–9-0.0529%8 Aug →
ancient13–10-0.0219%8 Aug →
dust26–130.0327%27 Jul →
cache4–13-0.0237%27 Jul →
cache13–8-0.0121%14 Jul →
cache13–110.1227%14 Jul →
dust213–70.1838%10 Jul →
dust21–13-0.0613%28 Jun →
mirage16–13-0.0225%22 Jun →
anubis13–70.0311%10 Apr →
dust216–130.0422%10 Apr →
dust213–60.0721%9 Apr →
anubis13–70.1433%29 Mar →
nuke13–70.0338%29 Mar →
ancient13–90.1011%29 Mar →
nuke13–80.0313%28 Mar →
dust20–13-0.1050%28 Mar →
inferno13–16-0.0625%22 Mar →
overpass13–70.0616%11 Mar →
dust26–130.0720%11 Mar →
overpass13–110.059%6 Mar →
inferno6–13-0.0214%6 Mar →
dust23–13-0.0514%6 Mar →
inferno11–13-0.0520%5 Mar →
dust215–15-0.0319%3 Mar →
overpass10–13-0.0215%2 Mar →
mirage8–13-0.0429%2 Mar →
train13–40.1632%2 Mar →
anubis5–13-0.0320%2 Mar →
mirage13–2-0.0324%20 Feb →
nuke13–7-0.0031%20 Feb →
vertigo13–20.1832%12 Feb →
vertigo10–130.0427%12 Feb →
ancient13–7-0.0519%11 Feb →
overpass16–120.1116%9 Feb →
dust213–70.1010%9 Feb →
anubis13–10-0.0416%9 Feb →
ancient13–10-0.007%9 Feb →
nuke13–2-0.0116%9 Feb →
anubis7–10.0438%9 Feb →
dust26–13-0.0319%9 Feb →
overpass13–11-0.0311%9 Feb →
anubis7–130.0728%8 Feb →
inferno5–13-0.088%7 Feb →
inferno1–13-0.100%7 Feb →
ancient9–130.0226%6 Feb →
dust213–60.1213%6 Feb →
nuke16–120.0516%6 Feb →
dust211–130.0417%6 Feb →
ancient13–70.0415%6 Feb →
overpass6–13-0.0415%6 Feb →
nuke13–20.0932%6 Feb →
overpass13–11-0.029%6 Feb →
dust24–13-0.0712%6 Feb →
nuke13–100.0013%6 Feb →
overpass13–11-0.0227%6 Feb →
nuke9–13-0.0520%6 Feb →
dust213–70.0124%6 Feb →
ancient8–13-0.0510%6 Feb →
ancient4–13-0.0915%6 Feb →
dust213–50.0715%5 Feb →
dust213–90.0216%5 Feb →
ancient6–130.0121%5 Feb →
anubis11–13-0.0112%5 Feb →
overpass2–13-0.0432%5 Feb →
mirage13–30.1125%5 Feb →
ancient7–13-0.0211%5 Feb →
dust216–130.0422%5 Feb →
dust213–9-0.0029%4 Feb →
overpass13–80.0218%4 Feb →
nuke13–4-0.0217%4 Feb →
anubis13–70.0317%4 Feb →
ancient16–130.0313%4 Feb →
dust213–50.0725%3 Feb →
anubis13–50.1129%3 Feb →
dust213–80.0918%3 Feb →
overpass13–80.0320%3 Feb →
dust27–130.0527%3 Feb →
anubis13–20.0412%3 Feb →
dust213–30.0418%3 Feb →
nuke4–130.0024%3 Feb →
ancient13–80.0827%3 Feb →
anubis7–13-0.0710%3 Feb →
ancient2–13-0.0113%3 Feb →
ancient8–130.0321%1 Feb →
ancient13–7-0.0124%1 Feb →
inferno11–130.0115%1 Feb →
overpass13–100.0126%31 Jan →
dust24–13-0.0419%28 Jan →
nuke8–13-0.0119%28 Jan →
dust28–13-0.079%28 Jan →
nuke13–100.0112%28 Jan →
dust213–60.0423%28 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win StreakAim 90+
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.