Jeppo

Jeppo — CS2 Stats

76561198035517165[U:1:75251437]Steam profile ↗✓ No bans

776Tracked matches67%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating19,214Top 50% of 205,052 CSDB-tracked playersPurple band · top ~11.6% of ranked players (population est.)
CSDB Leaderboard#93342 of 252106 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Mar 2026 (203 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: 19,214 +6,654 1 Oct – 27 Mar · 13 days played
12,56019,214peak 19,2141 Oct27 Mar
19,214Peak Premier in tracked matches
33Days played since 2025-08-27

Premier CS Rating

  • At peak — 19,214
  • +4,925 over 90 days
  • Next: Pink band at 20,000 — 786 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGJeppoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,214 · Purple bandcsdb.gg/stats

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Performance scores

Aim36
Positioning42
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWLWWLWWLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −38ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 634ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 645ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 664ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim3.6
Utility6.1
Positioning4.2
Opening Duels0.0
Clutch1.6

Effective flashes

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

Twistzz

Plays most like Twistzz 63% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 646ms 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

Aim3.6
Positioning4.2
Utility6.1
Mechanics4.6
Opening Duels0.0
Win Impact10.0

Composite 4.5/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time654ms+20ms
first ⅓ avg 635ms → last ⅓ avg 654ms
Headshot accuracy14.5%+2.2%
first ⅓ avg 12.3% → last ⅓ avg 14.5%

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 · 13–2 · vertigo, 24 Oct →
39%Best headshot accuracy · 13–6 · overpass, 27 Mar →
438msFastest reaction time · 13–9 · overpass, 8 Oct →
13–1Biggest win · dust2, 20 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 71% over 17dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2312–1152%-0.03
ancientA2313–1057%-0.03
overpassS1712–571%-0.02
anubisS96–367%-0.01
infernoS96–367%-0.01
dust2C83–538%-0.01
trainC83–538%-0.02
vertigo—32–167%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

517Matches
48%Win rate
0.97Avg K/D
66.2ADR
38%Headshot %

Clutches & streaks

28%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3135%0.7912.7
Nuke2654%0.8711.5
Anubis1833%0.8012.7
Vertigo1258%0.9915.8
Train862%0.8913.9
Inferno757%0.7712.0
Overpass743%1.0114.3
Dust2367%1.1416.0

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.

14.1%Headshot accuracy
27.3%Accuracy (enemy spotted)
31.2%Spray accuracy
70.5%Counter-strafing
9.9°Preaim
646msReaction time
29.6%T opening success
25.9%CT opening success
0.76Enemies flashed / flash
5.9%Flash assists
11.23HE damage / grenade
5.60Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0933% — below the 15% mark we flag

    Aim Training →
  2. 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 29.565% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–2-0.0117%27 Mar →
ancient3–13-0.077%27 Mar →
overpass13–6-0.0339%27 Mar →
anubis13–40.0212%27 Mar →
anubis7–13-0.039%21 Mar →
nuke13–9-0.0916%21 Mar →
anubis13–110.0116%21 Mar →
nuke5–13-0.0415%20 Mar →
anubis4–13-0.0413%20 Mar →
anubis13–80.0514%20 Mar →
nuke13–10-0.0512%20 Mar →
dust213–10.0933%20 Mar →
ancient4–13-0.106%13 Mar →
anubis9–13-0.068%13 Mar →
dust27–13-0.0825%13 Mar →
ancient13–10-0.0212%13 Mar →
overpass13–4-0.0311%13 Mar →
nuke13–7-0.0115%22 Feb →
overpass13–9-0.0217%22 Feb →
anubis13–6-0.0419%22 Feb →
overpass13–10-0.0012%22 Feb →
ancient8–13-0.045%21 Feb →
nuke13–10-0.107%21 Feb →
ancient13–7-0.0219%21 Feb →
overpass13–11-0.0111%24 Jan →
ancient13–50.029%24 Jan →
ancient16–13-0.0513%24 Jan →
ancient4–13-0.1413%23 Jan →
overpass9–13-0.018%23 Jan →
anubis13–10-0.0217%23 Jan →
nuke13–3-0.0516%17 Jan →
nuke13–90.0216%17 Jan →
inferno11–13-0.0217%17 Jan →
ancient7–13-0.059%19 Dec →
train13–3-0.0018%19 Dec →
ancient11–13-0.035%14 Dec →
ancient13–80.0316%14 Dec →
overpass13–8-0.0113%14 Dec →
train11–13-0.0821%13 Dec →
nuke15–15-0.0310%13 Dec →
overpass3–13-0.0818%13 Dec →
train7–13-0.0512%2 Nov →
overpass13–40.0413%2 Nov →
nuke13–8-0.057%2 Nov →
nuke13–3-0.044%31 Oct →
inferno13–110.0415%31 Oct →
dust26–13-0.0411%31 Oct →
ancient13–7-0.047%31 Oct →
train13–70.038%27 Oct →
nuke13–50.0119%27 Oct →
dust25–13-0.019%24 Oct →
vertigo13–20.1315%24 Oct →
vertigo13–6-0.074%24 Oct →
vertigo10–13-0.025%18 Oct →
anubis13–40.0412%18 Oct →
nuke2–13-0.0422%17 Oct →
train9–13-0.045%17 Oct →
ancient13–8-0.057%17 Oct →
nuke9–13-0.0020%17 Oct →
overpass13–9-0.0413%17 Oct →
ancient13–9-0.068%17 Oct →
nuke7–13-0.050%14 Oct →
inferno15–15-0.0915%14 Oct →
overpass13–9-0.025%8 Oct →
ancient11–130.089%8 Oct →
inferno13–10-0.063%3 Oct →
dust27–130.0024%3 Oct →
ancient13–16-0.0110%3 Oct →
inferno13–60.0111%3 Oct →
ancient13–11-0.0416%3 Oct →
overpass13–6-0.058%1 Oct →
nuke14–16-0.0113%1 Oct →
train13–16-0.0210%27 Sept →
dust28–13-0.0922%26 Sept →
inferno15–15-0.0511%26 Sept →
overpass13–11-0.0410%26 Sept →
ancient12–16-0.0315%23 Sept →
nuke8–13-0.0326%23 Sept →
inferno13–90.0214%19 Sept →
dust213–70.0310%18 Sept →
overpass6–13-0.028%18 Sept →
ancient13–40.0115%18 Sept →
overpass15–19-0.0420%9 Sept →
nuke14–16-0.076%6 Sept →
ancient17–19-0.065%6 Sept →
nuke13–8-0.047%31 Aug →
ancient13–8-0.0210%31 Aug →
dust216–13-0.018%31 Aug →
inferno16–14-0.0213%31 Aug →
ancient13–3-0.0213%31 Aug →
nuke11–13-0.0320%29 Aug →
nuke11–13-0.016%29 Aug →
nuke11–13-0.0510%29 Aug →
train13–110.0413%29 Aug →
train7–13-0.057%28 Aug →
nuke13–50.0211%28 Aug →
ancient13–7-0.0411%28 Aug →
overpass13–40.0717%28 Aug →
inferno13–30.0421%28 Aug →
overpass11–130.0113%27 Aug →

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 →

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