JagrN

JagrN — CS2 Stats

NO76561198013586582[U:1:53320854]Steam profile ↗✓ No bans

2,449Tracked matches66%Win rate2020Tracked since
CSDB Rating7.7 StrongPositional Player
Premier CS Rating27,753Top 5% of 211,494 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3328 of 258596 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,449 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,753 +6,027 3 Apr – 4 Oct · 18 days played
21,72627,753peak 27,7533 Apr4 Oct
27,765Peak Premier in tracked matches
56Days played since 2025-02-27

Premier CS Rating

  • At peak — 27,753
  • Next: Gold band at 30,000 — 2,247 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-13
  • Pink band first seen 2026-09-13

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

Share this profile

CSDB.GGJagrNFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,753 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim87
Positioning68
Utility51

0–100 skill scores via Leetify.

Recent form

HOT60–38–2Last 10060%Win rateWWLLWWTWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −2.1pp headshot accuracy · −44ms 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 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 542ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 592ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 613ms

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 (+1.5 against its own average).

Aim8.7
Utility5.1
Positioning6.8
Opening Duels5.9
Clutch3.6

Sharp aimer

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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim8.7
Positioning6.8
Utility5.1
Mechanics7.9
Opening Duels4.2
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time585ms+15ms
first ⅓ avg 570ms → last ⅓ avg 585ms
Headshot accuracy26.3%+1.8%
first ⅓ avg 24.5% → last ⅓ avg 26.3%

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

0.17Best match rating · 13–4 · ancient, 18 Dec →
59%Best headshot accuracy · 13–1 · train, 22 May →
375msFastest reaction time · 16–13 · ancient, 31 May →
13–1Biggest win · train, 22 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 75% over 8dust2Weakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%0.02
anubisB178–947%0.01
ancientS1410–471%0.06
dust2C146–843%-0.00
infernoS128–467%0.03
trainA95–456%0.01
nukeS86–275%0.04
overpass—33–0100%0.06
jura—22–0100%0.01
dogtown—11–0100%0.10
brewery—11–0100%0.14
palais—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,971Matches
55%Win rate
1.22Avg K/D
80.2ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
18Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage37546%1.1217.1
Ancient26752%1.1516.4
Anubis22653%1.1616.8
Dust218558%1.1416.1
Inferno8152%1.1917.5
Nuke7544%1.0816.5
Train5662%1.1316.4
Vertigo3847%1.2219.6

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.

27.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.0%Spray accuracy
85.4%Counter-strafing
8.7°Preaim
587msReaction time
33.0%T opening success
60.4%CT opening success
0.63Enemies flashed / flash
12.3%Flash assists
8.13HE damage / grenade
10.02Flashes / 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 33.0176% — 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.

43% win rate across 14 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
overpass13–40.0520%11 Jan →
nuke11–00.090%11 Jan →
nuke0–13-0.0818%10 Jan →
inferno9–130.0229%10 Jan →
mirage13–110.0733%10 Jan →
nuke13–80.0929%10 Jan →
train15–15-0.0129%10 Jan →
inferno13–9-0.0014%10 Jan →
inferno13–60.0544%10 Jan →
ancient13–70.1315%10 Jan →
mirage9–13-0.0124%8 Jan →
mirage7–13-0.0029%31 Dec →
ancient13–40.0720%31 Dec →
nuke13–70.1218%31 Dec →
dust213–60.0411%30 Dec →
overpass13–20.0226%30 Dec →
mirage11–130.0429%18 Dec →
ancient13–40.1738%18 Dec →
mirage9–13-0.0823%29 Aug →
dust216–140.0435%28 Aug →
train10–13-0.0244%23 Aug →
train6–13-0.0350%5 Aug →
inferno13–40.1730%30 Jul →
overpass13–90.1133%30 Jul →
inferno16–130.0935%20 Jul →
ancient13–50.1332%14 Jul →
mirage13–40.0216%16 Jun →
anubis8–12-0.0224%16 Jun →
dust22–13-0.0618%15 Jun →
ancient13–100.0724%11 Jun →
mirage14–160.0015%9 Jun →
jura13–110.0426%8 Jun →
dogtown9–20.1037%8 Jun →
brewery9–30.1427%8 Jun →
mirage13–70.0926%7 Jun →
inferno9–13-0.0522%31 May →
anubis16–190.0516%31 May →
ancient16–130.0612%31 May →
ancient13–10-0.0120%30 May →
train13–70.0213%30 May →
anubis10–130.0035%30 May →
ancient8–13-0.0130%24 May →
train13–40.1341%22 May →
train13–10.0459%22 May →
ancient2–13-0.0530%21 May →
jura13–3-0.0237%21 May →
mirage8–13-0.0121%14 May →
mirage9–130.0723%9 May →
mirage13–40.0228%9 May →
anubis13–30.1024%8 May →
dust213–50.0731%8 May →
anubis13–11-0.0022%6 May →
dust21–13-0.0121%5 May →
dust213–90.0735%5 May →
nuke13–90.0326%4 May →
anubis13–20.0213%2 May →
inferno13–7-0.0343%30 Apr →
dust213–70.0525%30 Apr →
dust210–130.0141%29 Apr →
ancient5–120.0736%29 Apr →
palais9–40.0240%29 Apr →
inferno6–13-0.0114%27 Apr →
nuke9–130.0314%26 Apr →
dust26–13-0.0718%21 Apr →
anubis5–13-0.0912%21 Apr →
dust215–15-0.0226%20 Apr →
dust213–60.0115%20 Apr →
anubis13–60.0432%15 Apr →
mirage13–9-0.0333%13 Apr →
anubis3–13-0.0326%13 Apr →
anubis9–13-0.0217%13 Apr →
anubis8–13-0.0121%12 Apr →
mirage13–110.1028%12 Apr →
anubis14–160.0326%10 Apr →
ancient13–90.0227%10 Apr →
inferno13–50.0626%9 Apr →
anubis13–60.0327%9 Apr →
anubis13–70.0123%7 Apr →
ancient13–110.0923%7 Apr →
nuke13–110.0014%5 Apr →
ancient13–50.0658%3 Apr →
train13–8-0.0417%3 Apr →
mirage10–130.0731%3 Apr →
mirage13–10-0.0424%24 Mar →
anubis16–14-0.0114%24 Mar →
inferno8–13-0.0521%23 Mar →
mirage13–90.0319%23 Mar →
dust211–130.0218%23 Mar →
train13–100.0118%22 Mar →
inferno13–90.0722%22 Mar →
nuke13–100.0321%22 Mar →
ancient11–13-0.0119%20 Mar →
mirage13–90.0415%19 Mar →
inferno13–70.0522%19 Mar →
train4–13-0.0517%10 Mar →
mirage11–130.0340%8 Mar →
dust20–13-0.1140%6 Mar →
dust211–13-0.0422%1 Mar →
anubis10–130.0926%28 Feb →
anubis13–9-0.0319%27 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.