JAEGARN1

JAEGARN1 — CS2 Stats

DE76561198063671400[U:1:103405672]Steam profile ↗✓ No bans

733Tracked matches52%Win rate2023Tracked since
1,231Hours in CS11Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating10,435Blue band · top ~52.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 10,435 +1,463 26 Jul – 13 Nov · 19 days played
8,97211,153peak 11,15326 Jul13 Nov
11,381Peak Premier in tracked matches
19Days played since 2026-07-26

Premier CS Rating

  • 718 below peak (11,153)
  • +551 over 30 days · improving
  • -614 over 90 days
  • Next: Purple band at 15,000 — 4,565 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,911), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate53.7%42.7%43.8%above
Shot accuracy9.6%11.2%12.0%2.4% short
Kill/death ratio0.820.991.020.19 short
Match win rate42.9%43.9%44.7%1.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJAEGARN1FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,435 · Blue 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

Aim67
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLWWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −4.5pp headshot accuracy · −6ms 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 647ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 650ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 653ms

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 (+1.6 against its own average).

Aim6.7
Utility5.5
Positioning4.6
Opening Duels3.0
Clutch2.6

Strong CT-side opener

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 652ms 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

Aim6.7
Positioning4.6
Utility5.5
Mechanics6.9
Opening Duels3.4
Win Impact5.6

Composite 5.4/10 (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 rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time657ms−54ms
first ⅓ avg 711ms → last ⅓ avg 657ms
Headshot accuracy23.7%−1.0%
first ⅓ avg 24.7% → last ⅓ avg 23.7%

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 · 13–5 · mirage, 2 Aug →
56%Best headshot accuracy · 5–13 · inferno, 2 Oct →
484msFastest reaction time · 13–2 · inferno, 6 Nov →
13–1Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–2In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 75% over 12mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientC198–1142%-0.01
dust2C198–1142%-0.03
infernoC177–1041%-0.04
cacheS1510–567%-0.03
mirageD155–1033%-0.03
nukeS129–375%-0.03
train—20–20%-0.01
anubis—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,700Lifetime kills
0.82K/D
2,096Matches
42.9%Match win rate
53.7%Headshot % · Top 25% of Level 4 players
9.6%Shot accuracy
3,820MVPs
787Hours (in match)
1,888Bombs planted
374Bombs defused

Most-used weapons

Lifetime map wins

4,009dust2
3,426inferno
2,113nuke
1,001train
355vertigo
296lake
117bank
47aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

32Matches
44%Win rate
0.79Avg K/D
74.6ADR
62%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno743%0.8210.7
Mirage714%0.6010.7
Anubis560%0.7912.4
Nuke450%1.0314.8
Ancient333%0.9614.7
Overpass250%0.7812.0
Dust22100%0.709.5
Cache10%0.6511.0

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.

23.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
35.2%Spray accuracy
80.8%Counter-strafing
9.5°Preaim
652msReaction time
36.3%T opening success
51.0%CT opening success
0.56Enemies flashed / flash
7.0%Flash assists
5.35HE damage / grenade
9.09Flashes / 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 36.2583% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0112%13 Nov →
dust25–13-0.0443%13 Nov →
nuke13–10-0.0610%13 Nov →
ancient13–90.0225%13 Nov →
cache13–11-0.0510%13 Nov →
mirage6–13-0.0520%13 Nov →
mirage9–13-0.0424%13 Nov →
dust213–7-0.0431%7 Nov →
dust24–13-0.0319%7 Nov →
ancient16–120.0911%6 Nov →
inferno13–110.0019%6 Nov →
inferno13–20.0226%6 Nov →
nuke13–40.0316%6 Nov →
mirage8–13-0.0317%6 Nov →
inferno11–13-0.0512%6 Nov →
train12–120.0430%6 Nov →
dust213–6-0.0936%31 Oct →
mirage2–13-0.0940%31 Oct →
cache9–13-0.0221%30 Oct →
mirage5–13-0.0633%30 Oct →
nuke3–13-0.0724%30 Oct →
dust213–10.0935%30 Oct →
nuke13–11-0.0533%30 Oct →
ancient6–13-0.0616%30 Oct →
mirage13–6-0.0233%30 Oct →
mirage11–00.0626%30 Oct →
nuke16–13-0.0429%23 Oct →
mirage5–13-0.0623%23 Oct →
inferno7–130.0224%23 Oct →
cache13–7-0.0522%23 Oct →
anubis13–30.0131%23 Oct →
ancient4–13-0.0822%23 Oct →
nuke13–10-0.0311%23 Oct →
train12–12-0.0728%23 Oct →
ancient8–13-0.0418%9 Oct →
cache13–9-0.0918%9 Oct →
inferno13–11-0.0122%9 Oct →
dust23–13-0.0720%9 Oct →
cache7–13-0.0218%9 Oct →
ancient16–140.0524%3 Oct →
inferno4–13-0.0514%2 Oct →
cache8–130.0025%2 Oct →
mirage13–5-0.0318%2 Oct →
nuke13–11-0.0128%2 Oct →
cache13–3-0.0622%2 Oct →
inferno11–13-0.0630%2 Oct →
inferno5–13-0.0656%2 Oct →
ancient13–40.0121%2 Oct →
cache13–9-0.0638%2 Oct →
mirage12–16-0.0518%25 Sept →
cache13–20.1030%25 Sept →
dust216–14-0.0419%25 Sept →
dust23–13-0.0526%25 Sept →
ancient13–9-0.0520%25 Sept →
mirage13–7-0.0741%25 Sept →
mirage9–130.0332%25 Sept →
inferno13–6-0.0833%4 Sept →
dust20–11-0.0340%28 Aug →
dust213–8-0.0018%28 Aug →
inferno6–13-0.0029%28 Aug →
ancient3–13-0.0221%28 Aug →
ancient4–13-0.0237%28 Aug →
cache7–13-0.0017%28 Aug →
inferno1–13-0.0636%28 Aug →
dust21–13-0.0837%28 Aug →
nuke16–130.0215%14 Aug →
cache13–9-0.0320%14 Aug →
inferno9–13-0.0824%14 Aug →
dust213–6-0.0119%14 Aug →
ancient7–130.0124%14 Aug →
dust22–130.0021%14 Aug →
cache13–60.0026%14 Aug →
nuke5–9-0.0731%14 Aug →
dust212–16-0.0120%7 Aug →
nuke13–10-0.0225%7 Aug →
dust27–130.0338%7 Aug →
ancient13–100.0126%7 Aug →
cache16–140.0141%7 Aug →
ancient9–13-0.0226%7 Aug →
ancient15–15-0.0118%7 Aug →
inferno2–9-0.0830%7 Aug →
dust213–4-0.0318%3 Aug →
ancient13–10-0.0521%3 Aug →
mirage13–50.1028%2 Aug →
inferno13–8-0.0213%2 Aug →
inferno4–9-0.0852%2 Aug →
dust25–13-0.0617%1 Aug →
nuke13–7-0.0028%31 Jul →
nuke4–13-0.0624%31 Jul →
inferno13–90.0121%31 Jul →
ancient3–13-0.0622%31 Jul →
dust27–13-0.0614%31 Jul →
cache1–13-0.0946%31 Jul →
cache13–7-0.0528%31 Jul →
ancient13–7-0.0316%31 Jul →
ancient10–130.0330%26 Jul →
mirage2–13-0.0718%26 Jul →
mirage6–13-0.0421%26 Jul →
inferno13–8-0.0214%26 Jul →
dust213–7-0.0518%26 Jul →

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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