Jck

Jck — CS2 Stats

76561198245262018[U:1:284996290]Steam profile ↗✓ No bans

2,117Tracked matches54%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating22,200Pink band · top ~6.1% of ranked players (population est.)
FaceitLevel 8 · 1,420 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGJckFACEITLevel 8 · 1,420 ELOSTANDINGTop 31.2% of rankedPREMIER22,200 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning77
Utility46

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateLLWWLWWWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +0.9pp headshot accuracy · −16ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 638ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

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 (+2.2 against its own average).

Aim6.1
Utility4.6
Positioning7.7
Opening Duels5.9
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 83% 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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 583ms 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

Aim6.1
Positioning7.7
Utility4.6
Mechanics5.9
Opening Duels8.4
Win Impact6.2

Composite 6.5/10 (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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time591ms+15ms
first ⅓ avg 576ms → last ⅓ avg 591ms
Headshot accuracy16.8%+1.5%
first ⅓ avg 15.3% → last ⅓ avg 16.8%

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

0.14Best match rating · 13–2 · mirage, 12 Sept →
43%Best headshot accuracy · 3–3 · mirage, 28 Oct →
422msFastest reaction time · 9–13 · mirage, 13 Sept →
13–0Biggest win · cache, 22 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%-0.02
mirageA2011–955%0.02
dust2C167–944%-0.01
anubisA159–660%-0.01
infernoS107–370%0.01
cacheA85–363%-0.01
ancientD61–517%-0.00
vertigo—20–20%-0.05
overpass—10–10%-0.00
train—10–10%-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.

Faceit stats

Combat

2,109Matches
51%Win rate
1.06Avg K/D
77.1ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7847%1.1516.9
Ancient3447%1.0714.2
Anubis2857%1.1516.0
Nuke2752%1.0315.6
Inferno2568%1.0416.0
Dust22264%1.0916.2
Overpass1747%1.0614.7
Vertigo1656%1.1217.3

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.

16.9%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.8%Spray accuracy
76.5%Counter-strafing
10.3°Preaim
583msReaction time
68.6%T opening success
59.0%CT opening success
0.48Enemies flashed / flash
2.6%Flash assists
11.35HE damage / grenade
6.24Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4804 — below the 0.5 mark we flag

    Grenade Lineups →
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 & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0625%12 Nov →
nuke3–8-0.0125%11 Nov →
inferno13–6-0.0216%11 Nov →
nuke13–3-0.034%11 Nov →
mirage9–130.0622%11 Nov →
anubis13–5-0.0421%11 Nov →
inferno13–9-0.0117%11 Nov →
nuke13–5-0.0112%11 Nov →
mirage13–90.1219%10 Nov →
anubis13–11-0.047%10 Nov →
inferno25–22-0.0013%10 Nov →
anubis11–130.0511%8 Nov →
dust215–15-0.0121%8 Nov →
nuke11–13-0.0223%7 Nov →
dust213–70.0014%7 Nov →
dust213–30.0217%7 Nov →
nuke7–13-0.0418%3 Nov →
nuke13–60.019%3 Nov →
ancient2–130.0316%1 Nov →
mirage13–60.1016%1 Nov →
mirage6–13-0.0433%31 Oct →
nuke28–26-0.0515%30 Oct →
anubis7–13-0.0810%30 Oct →
cache12–12-0.0119%28 Oct →
mirage3–3-0.0243%28 Oct →
dust213–11-0.0325%27 Oct →
cache6–13-0.0213%26 Oct →
mirage3–13-0.070%20 Oct →
nuke3–13-0.0312%20 Oct →
inferno11–130.0724%20 Oct →
anubis13–80.0111%19 Oct →
cache13–10-0.0313%19 Oct →
cache13–20.0512%19 Oct →
nuke13–9-0.009%19 Oct →
cache13–10.0511%18 Oct →
nuke13–60.0116%18 Oct →
mirage19–160.0112%14 Oct →
ancient6–13-0.0112%14 Oct →
nuke13–2-0.0011%14 Oct →
nuke16–13-0.0217%14 Oct →
nuke8–13-0.0424%9 Oct →
dust213–110.0215%8 Oct →
cache13–7-0.0519%8 Oct →
anubis13–70.0420%7 Oct →
nuke7–13-0.0817%4 Oct →
dust28–13-0.003%2 Oct →
dust213–90.0210%2 Oct →
nuke15–150.0115%2 Oct →
anubis12–12-0.0319%2 Oct →
ancient13–4-0.0121%1 Oct →
ancient5–13-0.0312%1 Oct →
dust210–13-0.0113%1 Oct →
dust210–130.0021%30 Sept →
cache8–13-0.0416%27 Sept →
inferno13–6-0.0124%26 Sept →
mirage14–16-0.0016%26 Sept →
inferno13–20.042%26 Sept →
anubis11–13-0.0613%26 Sept →
ancient11–130.0120%25 Sept →
vertigo7–13-0.0927%23 Sept →
vertigo12–12-0.0213%23 Sept →
cache13–0-0.0025%22 Sept →
anubis13–00.000%22 Sept →
anubis16–14-0.059%22 Sept →
mirage13–40.0920%22 Sept →
dust213–4-0.0319%22 Sept →
ancient11–130.0114%20 Sept →
dust210–13-0.0010%20 Sept →
dust25–13-0.073%20 Sept →
mirage13–50.0625%20 Sept →
inferno5–130.0011%17 Sept →
mirage8–13-0.0014%17 Sept →
nuke6–13-0.057%16 Sept →
anubis16–120.0321%16 Sept →
dust210–13-0.0313%16 Sept →
nuke13–6-0.0117%15 Sept →
mirage5–11-0.0112%15 Sept →
nuke8–13-0.0321%15 Sept →
anubis13–10-0.0021%15 Sept →
anubis16–140.0316%13 Sept →
dust213–60.027%13 Sept →
mirage9–13-0.0224%13 Sept →
overpass8–13-0.0011%13 Sept →
mirage4–13-0.0214%13 Sept →
anubis10–13-0.0313%13 Sept →
inferno13–100.0222%13 Sept →
dust28–130.0132%13 Sept →
train7–13-0.0419%13 Sept →
inferno5–13-0.0717%12 Sept →
nuke5–130.0318%12 Sept →
anubis4–13-0.0122%12 Sept →
mirage4–13-0.0310%12 Sept →
inferno13–60.088%12 Sept →
mirage13–20.1428%12 Sept →
mirage13–80.0018%12 Sept →
nuke7–13-0.0612%12 Sept →
dust28–13-0.0310%12 Sept →
mirage13–8-0.0110%11 Sept →
mirage13–8-0.0121%11 Sept →
mirage13–50.030%11 Sept →

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 →

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