Jegrn

Jegrn — CS2 Stats

76561197963279174[U:1:3013446]Steam profile ↗✓ No bans

3,511Tracked matches43%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating10,972Blue band · top ~49.7% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (30 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: 10,972 -1,563 25 Aug – 18 Sept · 4 days played
10,97212,535peak 12,53525 Aug18 Sept
12,715Peak Premier in tracked matches
24Days played since 2026-07-24

Premier CS Rating

  • 1,563 below peak (12,535)
  • -1,563 over 30 days · declining
  • Next: Purple band at 15,000 — 4,028 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGJegrnFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,972 · Blue bandcsdb.gg/stats

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Performance scores

Aim43
Positioning36
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateLLLWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −6.1pp headshot accuracy · +21ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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 (+2.4 against its own average).

Aim4.3
Utility6.4
Positioning3.6
Opening Duels0.1
Clutch6.0

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

Twistzz

Plays most like Twistzz 70% 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

Areas to improve

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.3
Positioning3.6
Utility6.4
Mechanics3.2
Opening Duels0.6
Win Impact2.8

Composite 3.6/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time611ms−97ms
first ⅓ avg 707ms → last ⅓ avg 611ms
Headshot accuracy17.4%+1.0%
first ⅓ avg 16.3% → last ⅓ avg 17.4%

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

0.10Best match rating · 12–12 · inferno, 10 Aug →
40%Best headshot accuracy · 14–16 · anubis, 8 Sept →
422msFastest reaction time · 6–13 · office, 28 Aug →
13–1Biggest win · dust2, 26 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 67% over 6officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%-0.03
vertigoD155–1033%-0.04
anubisC125–742%-0.04
cacheA106–460%-0.04
infernoC104–640%-0.05
mirageC104–640%-0.05
ancientS64–267%-0.02
officeD51–420%-0.02
overpass—22–0100%-0.01
nuke—10–10%-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

620Matches
49%Win rate
0.71Avg K/D
60.7ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.509.0
Vertigo1100%1.0013.0
Nuke1100%1.0716.0
Ancient1100%0.7613.0
Anubis10%0.5910.0
Overpass1100%1.5711.0

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.

17.7%Headshot accuracy
32.2%Accuracy (enemy spotted)
29.5%Spray accuracy
64.5%Counter-strafing
11.1°Preaim
593msReaction time
22.3%T opening success
34.6%CT opening success
0.63Enemies flashed / flash
11.5%Flash assists
11.02HE damage / grenade
11.65Flashes / 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 22.3004% — below the 40% mark we flag

Spend your practice time on Vertigo

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0415%19 Sept →
dust27–13-0.0122%18 Sept →
ancient6–13-0.0524%18 Sept →
cache13–11-0.0516%18 Sept →
inferno13–8-0.0115%18 Sept →
anubis13–9-0.099%18 Sept →
vertigo8–13-0.097%18 Sept →
vertigo9–13-0.0819%9 Sept →
anubis5–4-0.0417%9 Sept →
ancient13–8-0.117%9 Sept →
dust213–6-0.0515%9 Sept →
anubis14–16-0.0340%8 Sept →
ancient8–13-0.0113%8 Sept →
inferno13–9-0.0420%8 Sept →
inferno4–13-0.0636%5 Sept →
dust27–13-0.0817%5 Sept →
dust27–13-0.0826%5 Sept →
inferno4–13-0.1010%4 Sept →
anubis0–13-0.0722%4 Sept →
vertigo9–13-0.0513%4 Sept →
dust26–13-0.0424%4 Sept →
dust213–5-0.0511%4 Sept →
anubis13–9-0.0212%3 Sept →
cache13–11-0.0519%3 Sept →
vertigo13–4-0.0313%3 Sept →
inferno13–4-0.0325%3 Sept →
mirage13–5-0.0011%3 Sept →
dust28–13-0.0919%3 Sept →
cache10–13-0.1217%29 Aug →
mirage11–13-0.0414%29 Aug →
ancient13–40.025%29 Aug →
dust213–10-0.0323%29 Aug →
anubis10–10.0117%29 Aug →
cache13–11-0.0417%29 Aug →
mirage2–13-0.148%29 Aug →
dust24–130.0036%28 Aug →
mirage11–130.0122%28 Aug →
dust213–4-0.0316%28 Aug →
office6–13-0.0317%28 Aug →
cache13–4-0.0528%26 Aug →
dust213–10.0722%26 Aug →
inferno3–13-0.0921%25 Aug →
cache15–15-0.059%25 Aug →
dust213–9-0.0227%25 Aug →
dust212–12-0.0325%22 Aug →
vertigo10–13-0.044%22 Aug →
inferno9–13-0.0911%22 Aug →
dust213–7-0.0614%22 Aug →
office11–13-0.056%22 Aug →
anubis12–12-0.0223%22 Aug →
dust29–130.0013%22 Aug →
dust23–13-0.0813%21 Aug →
overpass13–8-0.0322%21 Aug →
vertigo11–130.0425%21 Aug →
anubis12–12-0.0511%21 Aug →
mirage13–90.0110%21 Aug →
vertigo9–13-0.077%15 Aug →
inferno9–13-0.0721%15 Aug →
mirage13–11-0.0714%15 Aug →
anubis9–13-0.0621%15 Aug →
cache13–50.0318%15 Aug →
ancient13–8-0.017%15 Aug →
dust213–10-0.0324%15 Aug →
dust29–13-0.0124%14 Aug →
vertigo13–8-0.0413%14 Aug →
dust213–11-0.0121%14 Aug →
office13–7-0.0820%14 Aug →
dust213–6-0.0431%14 Aug →
vertigo13–3-0.0810%13 Aug →
dust211–13-0.0818%13 Aug →
office12–12-0.0113%13 Aug →
inferno12–120.1014%10 Aug →
office12–120.0712%10 Aug →
vertigo4–130.0020%10 Aug →
dust25–13-0.0525%10 Aug →
mirage7–13-0.0723%8 Aug →
vertigo11–13-0.0821%8 Aug →
vertigo13–80.0023%8 Aug →
anubis10–0-0.0331%8 Aug →
cache13–6-0.0117%8 Aug →
dust213–40.0425%8 Aug →
vertigo13–100.0114%7 Aug →
dust213–10-0.0412%7 Aug →
mirage6–13-0.1014%5 Aug →
cache5–13-0.028%5 Aug →
anubis10–130.0310%5 Aug →
dust213–11-0.0017%5 Aug →
dust25–13-0.0710%1 Aug →
vertigo11–13-0.0721%1 Aug →
mirage13–1-0.0318%1 Aug →
dust20–13-0.0323%31 Jul →
dust27–13-0.0411%25 Jul →
dust213–9-0.029%25 Jul →
vertigo1–13-0.0921%24 Jul →
nuke12–12-0.0814%24 Jul →
ancient13–100.068%24 Jul →
overpass13–110.0213%24 Jul →
mirage9–13-0.0813%24 Jul →
inferno13–8-0.0710%24 Jul →
anubis8–13-0.0812%24 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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