Joppepop ツ

Joppepop ツ — CS2 Stats

SE76561198128568125[U:1:168302397]Steam profile ↗✓ No bans

2,512Tracked matches67%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
CSDB Leaderboard#64039 of 251518 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+44Tracked matches · now 2,512
−6.7ppWin rate · 73.3% → 66.7%

Rating over time

Premier CS Rating: 21,261 +3,912 14 Apr – 20 Sept · 19 days played
16,96121,261peak 21,26114 Apr20 Sept
21,261Peak Premier in tracked matches
1,512Highest Faceit ELO seen on CSDB
44Days played since 2026-04-14

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.GGJoppepop ツFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO1,512csdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLWLWWLLLW

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −1.0pp headshot accuracy · +11ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 614ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

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 (+1.7 against its own average).

Aim7.7
Utility5.0
Positioning6.1
Opening Duels3.2
Clutch3.2

Limited utility dependence

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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 591ms 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

Aim7.7
Positioning6.1
Utility5.0
Mechanics5.8
Opening Duels3.9
Win Impact10.0

Composite 6.5/10 (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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time602ms+3ms
first ⅓ avg 599ms → last ⅓ avg 602ms
Headshot accuracy18.0%+2.3%
first ⅓ avg 15.7% → last ⅓ avg 18.0%

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

0.19Best match rating · 13–0 · cache, 5 Jul →
44%Best headshot accuracy · 13–4 · inferno, 2 Jul →
391msFastest reaction time · 1–13 · mirage, 16 Jun →
13–0Biggest win · cache, 5 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
13–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 82% over 17ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.01
mirageA2212–1055%0.00
cacheS1714–382%0.02
dust2B179–853%0.00
ancientC114–736%-0.01
anubisB84–450%0.01
nuke—20–20%0.03
overpass—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,011Matches
49%Win rate
1.10Avg K/D
78.5ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage23452%1.1415.4
Inferno19854%1.1616.1
Ancient14746%1.0516.4
Dust210139%1.0815.3
Anubis3650%1.0314.9
Overpass2157%1.2316.5
Cache2162%1.3914.5
Train1650%0.8712.9

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
37.3%Accuracy (enemy spotted)
41.4%Spray accuracy
76.2%Counter-strafing
8.6°Preaim
591msReaction time
43.5%T opening success
47.3%CT opening success
0.58Enemies flashed / flash
3.3%Flash assists
11.44HE damage / grenade
4.19Flashes / match

Recommended for you

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0318%13 Oct →
inferno9–13-0.0216%5 Oct →
inferno13–100.0115%2 Oct →
cache6–130.0213%1 Oct →
anubis13–7-0.0114%27 Sept →
anubis13–110.0117%27 Sept →
anubis7–13-0.0327%23 Sept →
mirage7–13-0.0824%23 Sept →
mirage3–13-0.0717%12 Sept →
inferno13–90.0120%12 Sept →
cache13–30.0820%12 Sept →
cache13–6-0.0312%11 Sept →
anubis13–60.1021%11 Sept →
ancient13–110.0010%11 Sept →
cache13–80.0418%28 Aug →
mirage13–80.0518%28 Aug →
inferno13–10-0.0214%28 Aug →
nuke7–130.0734%28 Aug →
dust213–100.0525%28 Aug →
mirage13–110.0819%28 Aug →
anubis13–110.0924%24 Aug →
ancient13–100.0118%24 Aug →
cache4–13-0.0925%24 Aug →
inferno13–90.0618%11 Aug →
mirage14–16-0.0116%9 Aug →
dust216–120.0119%9 Aug →
dust213–80.0324%9 Aug →
inferno8–130.0412%9 Aug →
ancient7–13-0.058%9 Aug →
mirage13–110.0210%8 Aug →
ancient8–13-0.0516%8 Aug →
dust213–70.0915%8 Aug →
dust213–70.0320%31 Jul →
cache13–40.0728%31 Jul →
inferno13–100.0625%31 Jul →
mirage13–110.0817%31 Jul →
dust27–13-0.0328%30 Jul →
cache13–70.0723%30 Jul →
cache5–130.0519%29 Jul →
inferno9–130.0318%29 Jul →
cache13–10-0.0218%28 Jul →
mirage13–6-0.0311%28 Jul →
mirage10–130.1116%18 Jul →
inferno8–130.0224%18 Jul →
mirage13–8-0.018%18 Jul →
dust26–130.0320%18 Jul →
dust213–110.0117%17 Jul →
cache13–100.0327%17 Jul →
mirage16–130.0315%7 Jul →
anubis8–13-0.0317%6 Jul →
cache13–00.1930%5 Jul →
cache16–140.0217%4 Jul →
anubis9–13-0.0414%3 Jul →
dust213–20.0325%3 Jul →
mirage13–4-0.0117%3 Jul →
inferno13–40.0444%2 Jul →
mirage6–130.0217%2 Jul →
cache13–7-0.0112%1 Jul →
mirage9–13-0.0417%1 Jul →
cache16–140.0621%30 Jun →
inferno13–60.0015%30 Jun →
mirage13–60.0521%30 Jun →
inferno8–13-0.0412%28 Jun →
mirage7–13-0.0812%28 Jun →
dust23–13-0.0339%28 Jun →
mirage10–13-0.0216%28 Jun →
inferno13–60.1418%28 Jun →
dust210–13-0.0322%22 Jun →
cache19–17-0.0422%21 Jun →
dust28–13-0.088%21 Jun →
inferno11–130.0224%21 Jun →
inferno9–13-0.0216%16 Jun →
inferno4–13-0.095%16 Jun →
ancient4–13-0.0120%16 Jun →
mirage1–13-0.0618%16 Jun →
ancient13–110.0122%16 Jun →
dust227–31-0.0319%8 Jun →
inferno11–13-0.0017%8 Jun →
ancient7–130.0312%5 Jun →
cache13–6-0.0522%5 Jun →
mirage9–13-0.0317%5 Jun →
inferno13–90.116%4 Jun →
dust210–13-0.0114%4 Jun →
anubis9–13-0.0014%29 May →
nuke5–13-0.018%24 May →
inferno11–13-0.039%23 May →
dust23–130.0024%23 May →
ancient14–160.029%18 May →
ancient8–13-0.0617%18 May →
mirage13–8-0.0224%17 May →
ancient10–13-0.059%17 May →
inferno13–10-0.028%12 May →
dust213–11-0.0214%12 May →
mirage13–80.0211%3 May →
mirage13–100.0417%25 Apr →
ancient16–130.0022%25 Apr →
overpass13–70.0518%25 Apr →
dust213–11-0.0314%24 Apr →
inferno13–70.0022%24 Apr →
inferno12–16-0.0715%14 Apr →

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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