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Jippur

Jippur — CS2 Stats

US76561198068153945[U:1:107888217]Steam profile ↗✓ No bans

1,900Tracked matches43%Win rate2022Tracked since
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating13,222Blue band · top ~37.8% of ranked players (population est.)
CSDB Leaderboard#165503 of 260010 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 13,222 +1,141 5 Jul – 4 Nov · 14 days played
10,98115,453peak 15,4535 Jul4 Nov
15,453Peak Premier in tracked matches
1,209Highest Faceit ELO seen on CSDB
28Days played since 2026-07-05

Faceit ELO

  • At peak — 1,209
  • Next: Level 7 at 1,351 — 142 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,231 below peak (15,453)
  • -730 over 90 days
  • Next: Purple band at 15,000 — 1,778 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGJippurPREMIER13,222 · Blue bandPEAK ELO1,209csdb.gg/stats

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Performance scores

Aim55
Positioning51
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLWLLLWWWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +2.2pp headshot accuracy · −72ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 587ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

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).

Aim5.5
Utility3.8
Positioning5.1
Opening Duels1.7
Clutch3.2

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5
Positioning5.1
Utility3.8
Mechanics3.6
Opening Duels2.7
Win Impact2.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time637ms+9ms
first ⅓ avg 628ms → last ⅓ avg 637ms
Headshot accuracy15.9%+2.1%
first ⅓ avg 13.7% → last ⅓ avg 15.9%

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

0.30Best match rating · 9–2 · eldorado, 20 Jul →
42%Best headshot accuracy · 3–9 · eldorado, 7 Aug →
453msFastest reaction time · 3–13 · mirage, 11 Jul →
13–4Biggest win · inferno, 28 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 53% over 17infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB179–853%0.07
mirageB157–847%0.02
infernoC135–838%-0.01
dust2B136–746%0.01
anubisB136–746%0.01
ancientC104–640%0.04
cache—41–325%0.05
debris—41–325%0.13
eldorado—31–233%0.14
vertigo—30–30%0.00
office—10–10%-0.03
overpass—10–10%-0.12
fachwerk—10–10%0.02
boulder—11–0100%-0.02
shelter—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches
49%Win rate
1.14Avg K/D
83.5ADR
31%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4850%1.1014.9
Ancient2357%1.1716.6
Dust22055%1.4217.1
Anubis1753%1.3316.8
Overpass714%1.1113.1
Inferno743%1.1117.4
Nuke6100%1.6317.7
Vertigo250%0.8612.0

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.

15.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.4%Spray accuracy
66.0%Counter-strafing
9.7°Preaim
631msReaction time
42.4%T opening success
39.0%CT opening success
0.43Enemies flashed / flash
4.3%Flash assists
7.54HE damage / grenade
6.47Flashes / 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 0.4289 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 39.0392% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0913%4 Nov →
mirage13–110.0324%4 Nov →
inferno7–13-0.0124%4 Nov →
dust24–13-0.0919%1 Nov →
inferno7–13-0.0116%1 Nov →
dust213–60.0915%1 Nov →
nuke13–70.0715%1 Nov →
dust213–11-0.0011%1 Nov →
cache4–130.0615%1 Nov →
nuke6–13-0.0323%1 Nov →
nuke9–60.2016%1 Nov →
ancient14–160.046%1 Nov →
nuke13–100.017%31 Oct →
nuke4–13-0.0013%31 Oct →
dust216–120.0014%31 Oct →
nuke13–10-0.0512%31 Oct →
mirage13–6-0.0023%31 Oct →
anubis4–13-0.0517%31 Oct →
inferno16–140.0320%31 Oct →
nuke9–20.2524%31 Oct →
office5–13-0.0313%31 Oct →
nuke1–130.0514%28 Oct →
inferno13–40.038%28 Oct →
debris8–80.1011%28 Oct →
inferno4–9-0.0216%28 Oct →
anubis14–16-0.0613%25 Oct →
anubis13–100.0510%25 Oct →
nuke1–13-0.0213%25 Oct →
inferno2–13-0.0614%25 Oct →
cache11–130.0213%25 Oct →
debris9–70.1618%23 Oct →
cache13–100.1024%22 Oct →
cache10–13-0.0030%12 Sept →
nuke8–80.0516%7 Aug →
eldorado3–9-0.0442%7 Aug →
overpass5–9-0.1214%7 Aug →
inferno1–9-0.1322%7 Aug →
vertigo3–9-0.0529%7 Aug →
nuke3–130.0915%2 Aug →
ancient13–80.0615%2 Aug →
anubis3–13-0.018%2 Aug →
dust27–130.049%2 Aug →
dust26–13-0.0117%2 Aug →
inferno9–40.0222%2 Aug →
ancient13–80.0513%1 Aug →
anubis11–130.0714%1 Aug →
ancient13–80.0614%1 Aug →
nuke9–130.1016%1 Aug →
mirage10–130.0023%1 Aug →
inferno4–9-0.009%1 Aug →
mirage1–13-0.1413%1 Aug →
nuke13–80.1222%28 Jul →
anubis8–13-0.0712%26 Jul →
mirage8–130.0519%26 Jul →
ancient7–13-0.035%26 Jul →
nuke13–100.0017%25 Jul →
ancient12–160.008%25 Jul →
anubis13–110.0510%25 Jul →
dust213–6-0.0121%25 Jul →
dust213–6-0.0314%25 Jul →
anubis16–140.0517%25 Jul →
inferno5–90.065%25 Jul →
dust28–13-0.0117%24 Jul →
nuke7–90.104%24 Jul →
mirage15–150.066%20 Jul →
nuke13–40.1419%20 Jul →
eldorado9–20.3027%20 Jul →
mirage16–130.0711%19 Jul →
ancient13–160.0712%19 Jul →
mirage13–70.0313%19 Jul →
anubis13–80.0220%19 Jul →
fachwerk8–130.0212%19 Jul →
vertigo4–90.0413%19 Jul →
dust28–13-0.0220%18 Jul →
anubis6–13-0.057%18 Jul →
debris7–90.0627%15 Jul →
dust213–110.0815%15 Jul →
anubis13–100.0314%14 Jul →
inferno13–100.0130%14 Jul →
mirage8–13-0.0012%13 Jul →
mirage16–140.0410%13 Jul →
anubis13–60.0511%13 Jul →
boulder13–6-0.0213%12 Jul →
inferno13–100.025%12 Jul →
mirage10–130.0315%12 Jul →
ancient8–130.0210%12 Jul →
mirage13–90.0413%12 Jul →
mirage3–130.0513%11 Jul →
nuke13–80.0813%11 Jul →
mirage6–13-0.0114%10 Jul →
eldorado5–90.1621%9 Jul →
debris8–80.2216%9 Jul →
shelter6–13-0.0612%8 Jul →
dust25–130.0813%8 Jul →
vertigo12–120.029%8 Jul →
anubis17–190.008%6 Jul →
ancient5–130.0519%5 Jul →
ancient13–100.038%5 Jul →
dust211–130.0010%5 Jul →
mirage13–7-0.0015%5 Jul →

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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