Jarad

Jarad — CS2 Stats

JP76561198836720510[U:1:876454782]Steam profile ↗✓ No bans

2,473Tracked matches46%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating23,977Top 25% of 180,525 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#29074 of 225077 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,473 tracked matches. Play, then come back: the next observation lands here.

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. 23 days played since 23 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,977 +1,285 23 Jul9 Sept · 20 days played
21,48125,972peak 25,97223 Jul9 Sept
Faceit ELO: 1,594 +0 28 Aug1 Sept · 3 observations
1,5941,594peak 1,59428 Aug1 Sept
26,093Peak Premier in tracked matches
1,594Highest Faceit ELO seen on CSDB
23Days played since 2026-07-23

Premier CS Rating

  • 1,995 below peak (25,972)
  • -1,123 over 30 days · declining
  • Next: Red band at 25,000 1,023 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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.

Share this profile

CSDB.GGJaradFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,977 · Pink bandPEAK ELO1,594csdb.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

Aim76
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateTWWTWLLWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.8pp headshot accuracy · −22ms reaction

Win rate +10pp 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

  • 302 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 458ms

Last 10

  • 442 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 491ms

Last 20

  • 7103 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 502ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim7.6
Utility6.0
Positioning6.2
Opening Duels5.6
Clutch4.8

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

iM

Plays most like iM 91% 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 →

CSDB Rating breakdown

Aim7.6
Positioning6.2
Utility6.0
Mechanics6.0
Opening Duels4.2
Win Impact3.7

Composite 6.2/10 (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 time522ms−77ms
first ⅓ avg 598ms → last ⅓ avg 522ms
Headshot accuracy21.4%−2.3%
first ⅓ avg 23.7% → last ⅓ avg 21.4%

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.

Personal bests

0.13Best match rating · 13–10 · ancient, 9 Aug
80%Best headshot accuracy · 1–13 · anubis, 28 Jul
344msFastest reaction time · 12–12 · office, 2 Sept
13–1Biggest win · dust2, 23 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
58In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
anubisB157847%0.03
nukeB157847%0.02
mirageA148657%0.02
ancientS139469%0.04
infernoC125742%0.03
cacheB115645%0.01
dust2A74357%-0.01
office31233%0.04
boulder32167%0.02
vertigo21150%0.01
fachwerk220100%-0.00
train1010%0.01
italy110100%0.05
debris1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

290Matches
57%Win rate
1.18Avg K/D
86.2ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4349%0.9714.6
Inferno2462%1.2016.7
Ancient2268%1.0917.1
Anubis1872%1.4717.3
Vertigo1753%1.1018.2
Nuke1650%1.0317.7
Dust21553%1.2616.5
Cache1464%1.3120.0

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.

21.9%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.2%Spray accuracy
77.2%Counter-strafing
8.5°Preaim
516msReaction time
43.3%T opening success
50.0%CT opening success
0.58Enemies flashed / flash
4.5%Flash assists
10.59HE damage / grenade
13.20Flashes / 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–150.0131%2 Sept
cache13–30.1031%2 Sept
cache13–80.0542%2 Sept
office12–12-0.0725%2 Sept
office13–40.0822%2 Sept
vertigo8–13-0.0210%2 Sept
dust28–13-0.0321%2 Sept
mirage13–70.0626%2 Sept
mirage2–130.0218%2 Sept
inferno11–13-0.0215%2 Sept
anubis7–13-0.0216%1 Sept
inferno13–80.0324%1 Sept
cache11–130.0216%1 Sept
nuke6–13-0.0612%30 Aug
mirage13–80.0427%29 Aug
nuke13–90.0922%29 Aug
ancient5–130.0426%29 Aug
anubis11–13-0.0023%29 Aug
inferno6–13-0.0421%29 Aug
ancient15–150.0529%27 Aug
mirage15–150.0520%27 Aug
cache7–13-0.0716%27 Aug
inferno13–110.0922%27 Aug
vertigo13–110.0314%27 Aug
nuke16–14-0.038%27 Aug
inferno13–50.0823%27 Aug
dust21–13-0.0325%27 Aug
anubis10–130.0020%27 Aug
cache10–13-0.0833%23 Aug
dust213–1-0.0722%23 Aug
inferno15–150.0225%18 Aug
cache13–90.0413%18 Aug
ancient13–70.049%18 Aug
office8–130.1013%12 Aug
mirage5–130.0228%11 Aug
mirage13–10.0325%10 Aug
mirage13–10-0.0430%10 Aug
ancient13–10-0.0218%10 Aug
ancient16–13-0.0325%10 Aug
inferno7–130.0430%10 Aug
ancient6–130.0029%9 Aug
inferno14–160.0214%9 Aug
ancient13–30.0624%9 Aug
nuke9–130.0427%9 Aug
nuke13–70.1114%9 Aug
inferno10–130.0415%9 Aug
anubis13–11-0.0025%9 Aug
ancient13–100.1317%9 Aug
mirage9–13-0.0619%9 Aug
dust212–10.0424%9 Aug
nuke13–50.0721%9 Aug
dust213–70.0134%9 Aug
boulder8–9-0.0331%9 Aug
mirage13–70.0833%8 Aug
anubis10–130.0311%8 Aug
inferno13–70.0525%7 Aug
anubis13–80.0725%6 Aug
cache3–13-0.0214%5 Aug
mirage13–8-0.015%5 Aug
dust210–13-0.0111%3 Aug
dust213–70.0525%3 Aug
anubis13–100.0722%3 Aug
cache10–13-0.0422%3 Aug
ancient13–80.0630%3 Aug
nuke15–150.0628%3 Aug
anubis10–130.0331%3 Aug
mirage13–50.0214%3 Aug
nuke10–13-0.0717%2 Aug
cache13–100.0120%2 Aug
ancient13–100.0222%2 Aug
anubis13–100.0417%2 Aug
nuke0–13-0.103%2 Aug
boulder13–90.0418%30 Jul
boulder13–40.0418%30 Jul
anubis14–160.0120%28 Jul
mirage13–30.0033%28 Jul
cache13–90.0617%28 Jul
nuke13–8-0.0223%28 Jul
ancient13–60.0622%28 Jul
nuke16–120.0117%28 Jul
anubis1–13-0.0380%28 Jul
cache6–130.0225%28 Jul
anubis13–70.0426%27 Jul
inferno16–140.0118%27 Jul
nuke16–13-0.0134%27 Jul
ancient16–130.0925%27 Jul
nuke13–160.0428%27 Jul
train2–130.0125%27 Jul
fachwerk13–7-0.0314%27 Jul
fachwerk13–10.0339%27 Jul
italy13–90.0519%27 Jul
mirage5–130.0420%26 Jul
ancient7–130.0424%26 Jul
anubis13–10.1014%26 Jul
debris5–9-0.0229%24 Jul
nuke9–130.0829%24 Jul
anubis13–50.0917%23 Jul
mirage11–130.0727%23 Jul
nuke8–130.0324%23 Jul
anubis11–130.0321%23 Jul

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 →