JckL

JckL — CS2 Stats

DE76561198127546203[U:1:167280475]Steam profile ↗✓ No bans

284Tracked matches37%Win rate2020Tracked since
2,206Hours in CS
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#32686 of 232397 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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. 50 days played since 19 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,668 +2,181 19 Apr4 Jun · 12 days played
21,02323,668peak 23,66819 Apr4 Jun
23,668Peak Premier in tracked matches
50Days played since 2025-04-19

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 15 Sep 2026 and 20 Sep 2026.

Measured 15 Sep 202620 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim82
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

COLD47476Last 10047%Win rateLLWLLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · −30ms 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 514ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 531ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim8.2
Utility5.9
Positioning6.3
Opening Duels3.4

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Areas to improve

Reaction time. 554ms 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

Aim8.2
Positioning6.3
Utility5.9
Mechanics7.6
Opening Duels2.9
Win Impact0.7

Composite 6.1/10 (Solid), 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 rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time555ms−14ms
first ⅓ avg 570ms → last ⅓ avg 555ms
Headshot accuracy16.1%−2.8%
first ⅓ avg 18.9% → last ⅓ avg 16.1%

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

0.20Best match rating · 8–1 · vertigo, 28 Jun
60%Best headshot accuracy · 0–9 · grail, 3 Jul
375msFastest reaction time · 1–13 · office, 27 Aug
13–0Biggest win · overpass, 21 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
94In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 69% over 13nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC1771041%0.01
infernoS139469%0.01
ancientC114736%-0.00
anubisC104640%-0.01
overpassA106460%0.03
nukeD93633%0.01
dust2S64267%0.03
mirage41325%-0.00
grail41325%-0.01
vertigo330100%0.11
office21150%0.01
palacio2020%-0.06
agency220100%0.11
jura2020%0.05
train2020%0.02
fachwerk110100%0.12
golden110100%0.02
dogtown1010%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,332Lifetime kills
1.18K/D · Top 25% of tracked players
4,913Matches
50.6%Match win rate · Top 25% of tracked players
62.7%Headshot % · Top 5% of tracked players
19.7%Shot accuracy · Top 5% of tracked players
18,485MVPs
2,206Hours (in match)
4,263Bombs planted
1,271Bombs defused

Most-used weapons

AK-4788,805
AWP4,434
FAMAS3,276
P2503,008
Knife1,562

Lifetime map wins

7,054dust2
4,286inferno
1,476train
1,377cbble
1,187nuke
740vertigo
221lake
132office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.2%Spray accuracy
84.2%Counter-strafing
9.5°Preaim
554msReaction time
37.6%T opening success
45.5%CT opening success
0.67Enemies flashed / flash
7.5%Flash assists
8.30HE damage / grenade
11.20Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.6249% — below the 40% mark we flag

Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.0113%30 Aug
anubis8–13-0.0626%29 Aug
cache16–140.0115%29 Aug
nuke5–13-0.0114%29 Aug
ancient6–130.026%28 Aug
cache13–90.0316%27 Aug
inferno13–6-0.0112%27 Aug
office1–13-0.0928%27 Aug
anubis1–13-0.0710%26 Aug
mirage5–13-0.027%26 Aug
nuke1–4-0.060%26 Aug
dust27–13-0.0415%26 Aug
cache13–90.0918%26 Aug
cache2–50.1027%25 Aug
nuke8–13-0.0121%25 Aug
anubis8–13-0.0323%25 Aug
inferno13–7-0.0019%25 Aug
ancient7–13-0.0310%25 Aug
ancient6–13-0.0723%24 Aug
dust216–140.0314%24 Aug
fachwerk13–30.1223%21 Aug
overpass13–00.0726%21 Aug
cache4–13-0.1113%21 Aug
cache12–12-0.0814%16 Aug
cache10–130.1015%12 Jul
cache12–12-0.0221%9 May
cache12–120.059%1 May
cache13–5-0.0313%1 May
cache13–110.0111%30 Apr
cache4–130.0420%30 Apr
cache9–13-0.0314%29 Apr
cache3–13-0.0116%29 Apr
cache8–13-0.0120%29 Apr
cache13–80.0116%29 Apr
cache13–20.027%29 Apr
dust213–60.0816%15 Mar
overpass13–10-0.0311%15 Mar
overpass8–13-0.0521%15 Mar
palacio1–13-0.0717%14 Nov
mirage13–110.0024%14 Nov
dust213–20.1124%8 Nov
office13–100.1020%3 Oct
golden13–110.0212%2 Oct
palacio5–13-0.0415%2 Oct
ancient13–9-0.0117%24 Sept
overpass13–70.0421%24 Sept
overpass13–60.0721%24 Sept
inferno9–130.0317%23 Sept
overpass13–30.0818%3 Aug
nuke13–70.0111%3 Aug
overpass13–90.0822%30 Jul
inferno9–40.0423%30 Jul
dogtown8–8-0.0016%26 Jul
ancient6–13-0.0016%8 Jul
ancient9–13-0.008%8 Jul
inferno9–60.1023%3 Jul
grail7–130.0512%3 Jul
grail0–9-0.0560%3 Jul
mirage13–16-0.0115%2 Jul
ancient12–16-0.0312%2 Jul
overpass8–130.0022%28 Jun
vertigo8–10.2031%28 Jun
anubis11–130.0411%25 Jun
ancient6–13-0.0626%25 Jun
nuke8–8-0.0312%24 Jun
agency13–90.1117%24 Jun
nuke13–2-0.0310%24 Jun
agency13–30.1116%11 Jun
vertigo13–60.0819%10 Jun
jura11–130.0523%10 Jun
anubis13–100.027%4 Jun
inferno13–7-0.0818%4 Jun
ancient16–140.0722%2 Jun
anubis13–70.0319%26 May
inferno16–130.0223%26 May
inferno10–130.0514%25 May
inferno9–13-0.0218%25 May
inferno13–8-0.0224%22 May
overpass12–120.1022%21 May
train7–130.0415%21 May
anubis13–110.0215%16 May
anubis4–13-0.0520%15 May
grail13–4-0.0112%10 May
jura10–130.0515%8 May
grail5–13-0.0413%8 May
overpass6–9-0.0519%3 May
nuke7–90.1423%30 Apr
inferno9–60.0516%30 Apr
vertigo13–80.0619%30 Apr
ancient13–110.0621%29 Apr
ancient13–110.0217%25 Apr
dust213–10-0.0130%25 Apr
mirage9–130.0318%25 Apr
nuke13–100.0518%24 Apr
inferno13–9-0.0119%24 Apr
anubis7–13-0.0019%23 Apr
train5–130.0031%23 Apr
inferno11–130.0016%20 Apr
anubis13–30.0227%20 Apr
dust25–13-0.0216%19 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →