Jan Deag

Jan Deag — CS2 Stats

NO76561198822927356[U:1:862661628]Steam profile ↗✓ No bans

1,853Tracked matches59%Win rate2025Tracked since
2,624Hours in CS14Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating12,993Blue band · top ~39% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 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: 12,993 +3,867 17 Aug – 11 Oct · 23 days played
7,98812,993peak 12,99317 Aug11 Oct
12,993Peak Premier in tracked matches
40Days played since 2026-08-17

Premier CS Rating

  • At peak — 12,993
  • +1,839 over 30 days · improving
  • Next: Purple band at 15,000 — 2,007 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches44——
Win rate45%——
K/D0.74——
Headshot %50%——

Measured 9 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.5%44.8%45.7%above
Shot accuracy0.3%12.4%12.7%12.5% short
Kill/death ratio0.791.031.050.26 short
Match win rate46.2%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJan DeagFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,993 · 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

Aim58
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWLWLWWLLWW

Last 10 vs previous 10: −10pp win rate · +0.05 avg rating · −2.7pp headshot accuracy · −20ms 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 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 560ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

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 (+1.6 against its own average).

Aim5.8
Utility5.0
Positioning5.2
Opening Duels1.7
Clutch2.4

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 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 581ms 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

Aim5.8
Positioning5.2
Utility5.0
Mechanics5.3
Opening Duels3.6
Win Impact7.9

Composite 5.2/10 (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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time589ms+8ms
first ⅓ avg 581ms → last ⅓ avg 589ms
Headshot accuracy22.3%+1.5%
first ⅓ avg 20.7% → last ⅓ avg 22.3%

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

0.15Best match rating · 9–2 · inferno, 6 Sept →
57%Best headshot accuracy · 2–13 · cache, 19 Aug →
383msFastest reaction time · 9–13 · mirage, 4 Sept →
13–0Biggest win · anubis, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 75% over 16infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%-0.01
nukeB2010–1050%-0.02
mirageS1612–475%0.02
cacheA138–562%-0.00
ancientA117–464%-0.02
anubisA106–460%-0.01
infernoC73–443%-0.02
eldorado—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,759Lifetime kills
0.79K/D
2,279Matches
46.2%Match win rate · Top 50% of Level 6 players
49.5%Headshot % · Top 50% of Level 6 players
0.3%Shot accuracy
4,260MVPs
1,561Hours (in match)
2,618Bombs planted
672Bombs defused

Most-used weapons

Lifetime map wins

5,795dust2
3,386nuke
2,337inferno
778train
291vertigo
14office
6cbble
5italy

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

Faceit stats

Combat

91Matches
52%Win rate
0.86Avg K/D
64.5ADR
49%Headshot %

Clutches & streaks

32%1v1 clutch win
11%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22148%0.9012.8
Mirage1861%0.7912.8
Nuke1242%0.9212.8
Ancient1267%0.8312.7
Anubis1250%0.8712.9
Cache956%0.8414.1
Inferno425%0.7112.3
Vertigo250%0.8213.5

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.

22.4%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.1%Spray accuracy
73.8%Counter-strafing
11.2°Preaim
581msReaction time
44.6%T opening success
44.4%CT opening success
0.55Enemies flashed / flash
8.1%Flash assists
9.96HE damage / grenade
8.38Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0821%11 Oct →
nuke4–9-0.0633%10 Oct →
anubis13–00.0712%10 Oct →
mirage11–130.0015%7 Oct →
dust213–8-0.0424%7 Oct →
nuke13–60.1419%6 Oct →
inferno11–13-0.0310%5 Oct →
inferno9–13-0.0540%4 Oct →
nuke13–100.0212%3 Oct →
nuke13–11-0.0320%3 Oct →
anubis13–11-0.0916%2 Oct →
cache13–6-0.0512%29 Sept →
nuke13–6-0.0146%26 Sept →
dust213–5-0.0633%26 Sept →
ancient13–10-0.0118%25 Sept →
nuke13–40.0117%23 Sept →
dust211–13-0.0823%23 Sept →
dust213–5-0.0319%20 Sept →
anubis11–13-0.0223%19 Sept →
dust211–13-0.0725%15 Sept →
inferno8–8-0.1417%13 Sept →
dust27–130.0124%13 Sept →
cache13–70.0128%12 Sept →
nuke5–13-0.0622%11 Sept →
cache13–9-0.0522%9 Sept →
nuke13–60.0513%9 Sept →
inferno7–13-0.0123%9 Sept →
anubis12–16-0.0642%8 Sept →
mirage11–13-0.0225%8 Sept →
nuke13–60.0318%8 Sept →
nuke6–9-0.1117%6 Sept →
inferno9–20.1526%6 Sept →
nuke15–15-0.0621%6 Sept →
dust24–13-0.1324%6 Sept →
cache13–50.0427%6 Sept →
dust210–13-0.0026%6 Sept →
anubis5–13-0.0319%6 Sept →
mirage13–11-0.048%5 Sept →
cache13–7-0.0331%4 Sept →
cache13–80.0418%4 Sept →
mirage9–13-0.0416%4 Sept →
mirage16–140.0430%2 Sept →
nuke11–13-0.0219%1 Sept →
ancient10–13-0.0516%31 Aug →
anubis6–130.0021%31 Aug →
nuke10–13-0.0218%31 Aug →
dust24–13-0.0623%30 Aug →
cache17–19-0.0211%30 Aug →
inferno13–7-0.0539%30 Aug →
mirage13–11-0.0211%29 Aug →
nuke7–13-0.0526%29 Aug →
ancient7–13-0.0822%29 Aug →
dust213–50.0330%29 Aug →
nuke4–13-0.0317%29 Aug →
dust213–9-0.018%29 Aug →
dust28–130.0038%29 Aug →
cache11–13-0.0123%29 Aug →
mirage13–90.0820%28 Aug →
anubis13–100.0421%28 Aug →
dust213–40.0124%28 Aug →
mirage13–10-0.0421%27 Aug →
dust213–40.1121%27 Aug →
nuke7–13-0.0319%27 Aug →
dust211–130.0326%27 Aug →
ancient16–12-0.0517%26 Aug →
dust213–4-0.0350%26 Aug →
mirage8–13-0.0319%26 Aug →
cache16–120.0220%25 Aug →
ancient13–7-0.0122%25 Aug →
nuke25–23-0.0711%24 Aug →
anubis13–11-0.0316%24 Aug →
anubis13–100.0118%23 Aug →
dust213–110.0730%23 Aug →
cache13–6-0.0219%23 Aug →
nuke11–130.0129%23 Aug →
eldorado8–8-0.0311%23 Aug →
mirage13–50.1122%23 Aug →
nuke13–8-0.0413%23 Aug →
ancient10–13-0.0320%23 Aug →
dust213–60.0713%22 Aug →
dust213–8-0.0226%22 Aug →
mirage13–6-0.0214%21 Aug →
ancient13–30.0116%21 Aug →
dust23–13-0.0322%21 Aug →
ancient6–130.0118%21 Aug →
mirage13–100.0330%21 Aug →
inferno13–9-0.0125%20 Aug →
mirage13–60.0213%20 Aug →
ancient13–7-0.0419%19 Aug →
cache2–13-0.0557%19 Aug →
anubis13–80.0220%19 Aug →
ancient16–130.0515%19 Aug →
mirage13–50.1222%19 Aug →
cache11–130.0926%18 Aug →
dust26–13-0.0319%18 Aug →
cache13–160.0019%18 Aug →
mirage13–20.0720%18 Aug →
dust29–13-0.0220%18 Aug →
ancient13–7-0.0021%17 Aug →
nuke13–5-0.0317%17 Aug →

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 →

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