JKR

JKR — CS2 Stats

76561197997100786[U:1:36835058]Steam profile ↗✓ No bans

891Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating26,425Top 10% of 201,122 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#9683 of 247971 tracked
FaceitLevel 9 · 1,888 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 26,425 → 26,425
0Faceit ELO · 1,888 → 1,888
+5Tracked matches · now 891
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

Premier CS Rating: 26,425 +14,509 15 Nov – 28 Aug · 11 days played
11,91626,703peak 26,70315 Nov28 Aug
26,703Peak Premier in tracked matches
1,888Highest Faceit ELO seen on CSDB
49Days played since 2023-09-24

Faceit ELO

  • At peak — 1,888
  • Next: Level 10 at 2,001 — 113 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier CS Rating

  • 278 below peak (26,703)
  • Next: Gold band at 30,000 — 3,575 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.GGJKRFACEITLevel 9 · 1,888 ELOSTANDINGTop 20.7% of rankedPREMIER26,425 · Red bandPEAK ELO1,888csdb.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

Aim68
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWLWWWLWLW

Last 10 vs previous 10: 0pp win rate · +0.08 avg rating · −0.3pp headshot accuracy · −21ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 23%
  • Avg reaction 672ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 680ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 691ms

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).

Aim6.8
Utility5.3
Positioning5.6
Opening Duels4.2
Clutch1.8

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 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 654ms 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

Aim6.8
Positioning5.6
Utility5.3
Mechanics6.9
Opening Duels3.8
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time671ms+60ms
first ⅓ avg 611ms → last ⅓ avg 671ms
Headshot accuracy19.1%−0.2%
first ⅓ avg 19.3% → last ⅓ avg 19.1%

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

0.17Best match rating · 9–3 · poseidon, 10 Jun →
67%Best headshot accuracy · 4–9 · palais, 30 Dec →
453msFastest reaction time · 9–13 · anubis, 12 Sept →
13–0Biggest win · office, 7 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
overpassC218–1338%-0.02
nukeA1811–761%0.01
ancientC146–843%-0.02
infernoD124–833%0.01
dust2A85–363%0.01
anubisS75–271%0.02
cacheS54–180%0.01
poseidon—32–167%0.10
cache_b—32–167%0.00
vertigo—31–233%-0.02
mirage—20–20%-0.01
agency—11–0100%0.08
edin—11–0100%-0.05
palais—10–10%-0.27
office—11–0100%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,971Matches
50%Win rate
1.23Avg K/D
71.5ADR
32%Headshot %

Clutches & streaks

29%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3247%1.0814.3
Overpass3043%1.0015.5
Ancient2245%0.8714.3
Nuke2241%0.9313.7
Dust21443%1.1419.3
Mirage367%1.5423.7
Vertigo30%0.8013.0
Anubis2100%1.3419.5

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.

18.0%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.4%Spray accuracy
80.8%Counter-strafing
10.1°Preaim
654msReaction time
41.4%T opening success
49.4%CT opening success
0.63Enemies flashed / flash
9.9%Flash assists
9.79HE damage / grenade
8.12Flashes / 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–130.0220%12 Sept →
cache13–40.0515%12 Sept →
poseidon5–9-0.0222%10 Jun →
poseidon9–30.1742%10 Jun →
poseidon9–40.1518%10 Jun →
cache13–110.0833%9 Jun →
inferno9–13-0.0214%9 Jun →
anubis13–90.0712%9 Jun →
cache6–13-0.079%30 Apr →
cache13–70.0424%30 Apr →
cache13–9-0.0450%30 Apr →
nuke9–5-0.0222%30 Apr →
overpass19–22-0.0212%15 Feb →
overpass5–13-0.0815%17 Jan →
cache_b13–60.0223%14 Jan →
nuke13–90.0121%14 Jan →
ancient7–13-0.0818%11 Jan →
cache_b16–14-0.0014%10 Jan →
dust211–13-0.0321%10 Jan →
dust213–9-0.0616%6 Jan →
cache_b9–13-0.0214%5 Jan →
overpass11–13-0.0420%5 Jan →
overpass13–90.0010%5 Jan →
inferno6–13-0.0110%3 Jan →
inferno13–16-0.0413%14 Nov →
overpass10–13-0.0220%14 Nov →
dust213–110.0228%14 Nov →
overpass8–13-0.0411%4 Sept →
overpass13–40.0015%19 Aug →
overpass13–70.0312%29 Jul →
nuke13–70.0223%29 Jul →
nuke16–130.0311%28 Jul →
dust213–90.0021%23 Jul →
nuke13–7-0.0419%21 Jun →
dust213–110.0223%21 Jun →
anubis13–90.0723%13 Jun →
agency13–50.0817%13 Jun →
dust210–130.0420%13 Jun →
anubis13–4-0.0543%21 Mar →
vertigo13–5-0.0735%21 Mar →
ancient19–16-0.038%13 Mar →
edin13–5-0.0518%30 Dec →
palais4–9-0.2767%30 Dec →
dust212–120.0120%7 Nov →
anubis4–13-0.098%7 Nov →
dust28–20.0219%7 Nov →
mirage12–12-0.0124%7 Nov →
inferno3–13-0.0936%7 Nov →
office13–00.0033%7 Nov →
nuke10–13-0.0325%17 Jul →
inferno13–110.0116%17 Jul →
vertigo8–130.0217%15 Apr →
ancient10–13-0.0519%15 Apr →
nuke13–70.0317%15 Apr →
mirage11–13-0.0122%12 Apr →
overpass13–90.0116%12 Apr →
overpass8–13-0.0621%8 Apr →
overpass5–13-0.0825%7 Apr →
nuke7–13-0.0218%7 Apr →
inferno2–13-0.0812%7 Apr →
overpass13–10-0.0024%7 Apr →
ancient13–10-0.0115%2 Apr →
nuke13–70.0413%2 Apr →
nuke11–13-0.0117%24 Mar →
inferno5–13-0.0533%24 Mar →
anubis13–00.0944%18 Mar →
nuke13–100.0318%8 Mar →
ancient16–130.0225%8 Mar →
overpass10–13-0.0410%2 Mar →
ancient13–7-0.0815%2 Mar →
ancient8–130.0617%2 Mar →
overpass10–130.0450%28 Feb →
ancient10–130.0216%26 Feb →
overpass8–13-0.0529%23 Feb →
overpass25–220.029%23 Feb →
ancient4–13-0.1210%23 Feb →
inferno11–13-0.0132%23 Feb →
nuke7–13-0.0721%20 Feb →
nuke10–13-0.0610%20 Feb →
ancient16–14-0.0213%23 Jan →
anubis13–20.0416%22 Jan →
nuke13–90.0315%21 Jan →
inferno10–130.0619%21 Jan →
overpass6–13-0.0810%14 Jan →
vertigo11–13-0.0112%14 Jan →
inferno13–70.1110%9 Jan →
nuke13–90.0917%9 Jan →
ancient10–13-0.0125%3 Jan →
nuke11–13-0.0216%3 Jan →
overpass13–80.1017%28 Dec →
overpass13–70.0441%28 Dec →
overpass4–13-0.0621%28 Dec →
inferno13–50.1333%23 Nov →
ancient7–130.0114%15 Nov →
nuke13–40.087%28 Sept →
ancient13–70.0118%28 Sept →
nuke8–130.0413%28 Sept →
inferno13–80.0539%28 Sept →
overpass9–130.0223%24 Sept →
ancient9–13-0.0212%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 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.