j0lp

j0lp — CS2 Stats

SE76561199619929643[U:1:1659663915]Steam profile ↗✓ No bans

377Tracked matches67%Win rate2024Tracked since
1,055Hours in CS17Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating3,082Grey band · top ~86.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,082 +1,248 30 Aug – 3 Oct · 18 days played
1,0003,082peak 3,08230 Aug3 Oct
3,206Peak Premier in tracked matches
24Days played since 2026-08-30

Premier CS Rating

  • At peak — 3,082
  • +1,937 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,918 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate49.4%38.2%39.9%above
Shot accuracy0.1%3.6%7.0%6.8% short
Kill/death ratio0.980.830.92above
Match win rate44.3%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGj0lpPREMIER3,082 · Grey bandcsdb.gg/stats

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Performance scores

Aim61
Positioning62
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWTWTWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.7pp 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

  • 3–0–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 633ms

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 (+1.8 against its own average).

Aim6.1
Utility4.0
Positioning6.2
Opening Duels3.0

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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 639ms 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
Positioning6.2
Utility4.0
Mechanics6.6
Opening Duels4.6
Win Impact10.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time644ms−37ms
first ⅓ avg 681ms → last ⅓ avg 644ms
Headshot accuracy19.1%−0.1%
first ⅓ avg 19.2% → 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

0.15Best match rating · 12–16 · nuke, 7 Sept →
42%Best headshot accuracy · 13–4 · mirage, 1 Sept →
453msFastest reaction time · 8–13 · vertigo, 14 Sept →
13–1Biggest win · anubis, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 62% over 21nukeWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA4426–1859%-0.01
dust2A2113–862%0.00
nukeC145–936%-0.01
infernoC94–544%-0.02
vertigoC83–538%-0.02
anubis—31–233%-0.00
cache—11–0100%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,938Lifetime kills
0.98K/D · Top 25% of Grey band
1,226Matches
44.3%Match win rate · Top 25% of Grey band
49.4%Headshot % · Top 10% of Grey band
0.1%Shot accuracy
2,498MVPs
436Hours (in match)
902Bombs planted
224Bombs defused

Most-used weapons

Lifetime map wins

2,274dust2
2,255vertigo
1,399inferno
1,058nuke
58train
23office
13italy
1ar_shoots

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.

18.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.0%Spray accuracy
79.6%Counter-strafing
9.8°Preaim
639msReaction time
61.6%T opening success
35.4%CT opening success
0.56Enemies flashed / flash
2.9%Flash assists
3.61HE damage / grenade
13.68Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.3688% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–80.0317%5 Oct →
mirage12–120.0518%5 Oct →
mirage13–70.0715%4 Oct →
mirage12–12-0.0412%4 Oct →
dust213–11-0.0725%3 Oct →
inferno6–130.0022%3 Oct →
nuke13–30.0226%3 Oct →
dust213–2-0.0321%3 Oct →
mirage13–10-0.0729%3 Oct →
vertigo3–13-0.055%2 Oct →
dust213–110.0115%2 Oct →
mirage9–12-0.0211%2 Oct →
dust212–120.0223%2 Oct →
mirage13–50.0219%2 Oct →
mirage13–110.0020%1 Oct →
dust213–20.1114%1 Oct →
dust213–60.0419%24 Sept →
mirage13–9-0.048%24 Sept →
nuke8–13-0.0619%24 Sept →
vertigo13–110.0225%24 Sept →
nuke13–40.1019%23 Sept →
dust213–4-0.0115%23 Sept →
mirage13–40.0124%23 Sept →
inferno9–13-0.0523%16 Sept →
nuke11–13-0.049%16 Sept →
mirage11–13-0.0721%16 Sept →
mirage16–14-0.0817%16 Sept →
mirage13–8-0.0721%16 Sept →
vertigo8–13-0.0529%14 Sept →
vertigo5–13-0.0413%14 Sept →
dust24–130.0122%14 Sept →
nuke13–10-0.0322%14 Sept →
mirage13–40.0632%14 Sept →
mirage5–13-0.1338%13 Sept →
dust20–13-0.0419%13 Sept →
inferno11–13-0.0728%13 Sept →
inferno1–13-0.1135%13 Sept →
mirage13–100.0225%12 Sept →
mirage8–20.0023%12 Sept →
nuke13–10-0.0517%12 Sept →
mirage11–13-0.0024%12 Sept →
dust213–5-0.0619%11 Sept →
vertigo12–12-0.0426%11 Sept →
mirage1–13-0.0925%11 Sept →
nuke2–13-0.0811%11 Sept →
dust213–90.0526%11 Sept →
nuke13–6-0.0220%10 Sept →
nuke13–160.0119%10 Sept →
anubis11–130.0135%10 Sept →
mirage13–90.0111%10 Sept →
mirage10–130.0218%9 Sept →
mirage10–13-0.0411%8 Sept →
mirage13–70.0225%8 Sept →
dust213–40.0525%8 Sept →
dust27–130.0425%8 Sept →
cache13–8-0.0030%8 Sept →
inferno13–50.0129%8 Sept →
mirage13–50.0320%8 Sept →
anubis12–16-0.0217%7 Sept →
dust213–100.0025%7 Sept →
nuke12–160.1517%7 Sept →
dust214–160.0123%7 Sept →
mirage13–100.0714%7 Sept →
nuke6–13-0.0120%7 Sept →
mirage13–2-0.0321%6 Sept →
dust213–8-0.0217%6 Sept →
mirage13–10-0.0526%6 Sept →
nuke5–13-0.059%6 Sept →
mirage4–13-0.0817%6 Sept →
mirage7–13-0.0421%6 Sept →
mirage3–13-0.0317%6 Sept →
mirage3–13-0.0419%6 Sept →
mirage13–60.0421%6 Sept →
mirage13–5-0.0017%6 Sept →
mirage13–90.0912%6 Sept →
nuke2–13-0.0211%6 Sept →
inferno3–13-0.045%5 Sept →
dust20–13-0.0023%5 Sept →
dust213–60.0317%5 Sept →
inferno13–60.0812%5 Sept →
mirage11–130.0618%5 Sept →
vertigo13–11-0.0023%4 Sept →
mirage13–7-0.018%4 Sept →
dust27–130.0330%4 Sept →
dust213–3-0.0212%4 Sept →
mirage13–80.0328%4 Sept →
mirage8–13-0.0617%3 Sept →
vertigo1–12-0.0236%3 Sept →
mirage13–50.016%3 Sept →
mirage7–13-0.0330%2 Sept →
dust21–13-0.0713%2 Sept →
mirage9–13-0.0825%2 Sept →
nuke11–13-0.0230%1 Sept →
anubis13–10.013%1 Sept →
mirage13–4-0.0442%1 Sept →
mirage13–60.0232%31 Aug →
inferno13–3-0.0218%31 Aug →
mirage13–20.0212%31 Aug →
mirage6–13-0.0028%31 Aug →
inferno13–80.0421%30 Aug →

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 →

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