Jean Negevius III

Jean Negevius III — CS2 Stats

FI76561198135394296[U:1:175128568]Steam profile ↗✓ No bans

584Tracked matches43%Win rate2022Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating16,700Purple band · top ~21.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Aug 2026 (73 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: 16,700 -3,019 18 Jul – 2 Aug · 7 days played
16,70019,719peak 19,71918 Jul2 Aug
19,732Peak Premier in tracked matches
29Days played since 2026-06-29

Premier CS Rating

  • 3,019 below peak (19,719)
  • Next: Pink band at 20,000 — 3,300 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.GGJean Negevius IIIPREMIER16,700 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning47
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWWLWLLLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · −89ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 608ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 652ms

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 (+1.4 against its own average).

Aim5.7
Utility4.9
Positioning4.7
Opening Duels2.1
Clutch2.4

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

ZywOo

Plays most like ZywOo 86% 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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.7
Positioning4.7
Utility4.9
Mechanics4.2
Opening Duels1.5
Win Impact2.8

Composite 4.4/10 (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 time645ms+18ms
first ⅓ avg 627ms → last ⅓ avg 645ms
Headshot accuracy18.4%+4.1%
first ⅓ avg 14.2% → last ⅓ avg 18.4%

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

0.12Best match rating · 13–4 · office, 7 Jul →
36%Best headshot accuracy · 7–1 · nuke, 23 Jul →
453msFastest reaction time · 13–4 · office, 7 Jul →
13–1Biggest win · cache, 31 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
9–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.03
nukeA1710–759%-0.02
cacheC145–936%-0.02
ancientB126–650%-0.02
infernoD103–730%-0.04
dust2D93–633%-0.01
anubisA95–456%-0.03
overpass—43–175%-0.03
office—32–167%0.02
vertigo—20–20%-0.09
train—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

61Matches
46%Win rate
0.83Avg K/D
71.7ADR
44%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1217%0.7412.8
Ancient1173%1.0213.7
Nuke1155%0.9414.6
Anubis1050%0.8611.2
Dust2825%0.6610.1
Inferno757%0.679.6
Cache250%0.759.5

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.

18.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
44.2%Spray accuracy
68.8%Counter-strafing
9.6°Preaim
649msReaction time
34.2%T opening success
37.8%CT opening success
0.55Enemies flashed / flash
9.8%Flash assists
9.01HE damage / grenade
4.71Flashes / 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 34.2294% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0317%13 Sept →
ancient13–80.0011%13 Aug →
cache9–13-0.0813%12 Aug →
dust213–50.0217%12 Aug →
train10–13-0.0722%12 Aug →
overpass1–13-0.0210%10 Aug →
anubis7–130.0017%10 Aug →
ancient14–16-0.0617%2 Aug →
cache4–13-0.0414%2 Aug →
ancient13–110.0215%31 Jul →
nuke13–110.0520%31 Jul →
cache13–10.0816%31 Jul →
nuke5–13-0.0421%28 Jul →
cache6–13-0.0615%28 Jul →
cache2–13-0.0219%27 Jul →
anubis14–16-0.0515%27 Jul →
dust29–13-0.0515%26 Jul →
dust213–6-0.0419%23 Jul →
inferno8–13-0.0022%23 Jul →
cache13–70.0220%23 Jul →
nuke7–10.0636%23 Jul →
mirage13–10-0.0727%22 Jul →
ancient8–13-0.0720%22 Jul →
inferno6–13-0.0125%22 Jul →
vertigo4–13-0.1029%22 Jul →
anubis13–30.0732%22 Jul →
office1–13-0.050%21 Jul →
nuke13–3-0.0118%21 Jul →
cache2–13-0.108%21 Jul →
ancient13–6-0.0020%20 Jul →
inferno3–13-0.0631%20 Jul →
nuke6–13-0.0912%20 Jul →
mirage6–13-0.0713%20 Jul →
cache10–13-0.0028%20 Jul →
nuke6–13-0.1019%20 Jul →
nuke13–110.0614%20 Jul →
cache10–13-0.0511%20 Jul →
mirage13–4-0.0032%20 Jul →
mirage13–11-0.0319%19 Jul →
mirage7–13-0.0713%19 Jul →
ancient10–13-0.0516%19 Jul →
dust212–12-0.0112%19 Jul →
inferno3–13-0.0814%19 Jul →
nuke13–10-0.0133%19 Jul →
mirage9–0-0.037%19 Jul →
ancient13–110.0119%18 Jul →
cache6–130.0226%18 Jul →
dust213–6-0.075%18 Jul →
inferno13–6-0.0115%18 Jul →
nuke13–100.0011%18 Jul →
mirage13–7-0.0423%18 Jul →
overpass13–9-0.0319%18 Jul →
ancient1–13-0.090%16 Jul →
dust29–130.0323%16 Jul →
ancient10–13-0.0114%15 Jul →
overpass13–4-0.0413%15 Jul →
anubis10–13-0.0116%15 Jul →
nuke16–13-0.0512%13 Jul →
mirage13–70.0215%13 Jul →
anubis16–13-0.067%12 Jul →
cache13–10-0.0215%12 Jul →
mirage13–11-0.0426%12 Jul →
cache9–130.0017%9 Jul →
inferno6–1-0.0915%9 Jul →
inferno3–13-0.085%9 Jul →
anubis1–1-0.080%9 Jul →
nuke13–8-0.0310%9 Jul →
ancient13–8-0.0514%9 Jul →
nuke8–13-0.0811%9 Jul →
inferno7–13-0.090%9 Jul →
cache16–13-0.0118%9 Jul →
ancient8–13-0.097%8 Jul →
nuke7–13-0.0522%8 Jul →
dust26–13-0.0611%8 Jul →
mirage3–13-0.0413%8 Jul →
mirage13–110.0312%7 Jul →
inferno13–90.0515%7 Jul →
anubis13–9-0.0417%7 Jul →
ancient13–90.0918%7 Jul →
mirage6–13-0.0911%7 Jul →
nuke2–10.0510%7 Jul →
office13–40.127%7 Jul →
nuke12–12-0.0622%6 Jul →
anubis13–5-0.0114%6 Jul →
nuke13–5-0.0511%6 Jul →
mirage7–13-0.0911%5 Jul →
office13–10-0.0118%5 Jul →
anubis1–6-0.0533%5 Jul →
dust27–13-0.0319%5 Jul →
mirage11–130.0925%4 Jul →
mirage13–10-0.0217%2 Jul →
mirage9–130.0613%2 Jul →
overpass13–7-0.0415%2 Jul →
mirage9–13-0.0522%1 Jul →
mirage12–12-0.0518%1 Jul →
mirage8–13-0.026%30 Jun →
dust28–130.0614%30 Jun →
inferno12–12-0.0010%30 Jun →
vertigo4–13-0.085%29 Jun →
nuke12–12-0.0511%29 Jun →

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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