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JuanDeag

JuanDeag — CS2 Stats

ES76561199251356434[U:1:1291090706]Steam profile ↗✓ No bans

1,347Tracked matches45%Win rate2022Tracked since
CSDB Rating3.7 Learning
Premier CS Rating6,285Light Blue band · top ~72.7% of ranked players (population est.)
CSDB Leaderboard#9557 of 12690 tracked
FaceitLevel 4 · 986 ELOTop 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

6,285Peak Premier on CSDB
986Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 986
  • Next: Level 5 at 1,051 — 65 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • At peak — 6,285
  • Next: Blue band at 10,000 — 3,715 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGJuanDeagFACEITLevel 4 · 986 ELOSTANDINGTop 81.0% of rankedPREMIER6,285 · Light Blue bandPEAK ELO986csdb.gg/stats

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Performance scores

Aim49
Positioning60
Utility47

0–100 skill scores via Leetify.

Recent form

HOT43–55–2Last 10043%Win rateLWLWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim4.9
Aggression9.5
Utility4.7
Positioning6.0
Opening Duels3.7
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

jL

Plays most like jL 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 49% 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

Aim4.9
Positioning6.0
Utility4.7
Mechanics0.0
Opening Duels3.7
Win Impact3.3

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time636ms−41ms
first ⅓ avg 676ms → last ⅓ avg 636ms
Headshot accuracy16.2%+5.2%
first ⅓ avg 11.0% → last ⅓ avg 16.2%

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.

Highlights

0.11Best rating — dust2 9–13
13–2Biggest win — anubis
4Longest win streak
8–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 57% over 14dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%0.01
anubisC207–1335%0.01
dust2D154–1127%0.00
nukeA148–657%0.01
infernoB115–645%-0.01
ancientC83–538%0.01
cache—43–175%0.03
overpass—21–150%-0.02
train—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

88Matches
49%Win rate
0.99Avg K/D
76.4ADR
33%Headshot %

Clutches & streaks

35%1v1 clutch win
26%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%1.2116.0
Inferno1464%1.1015.2
Ancient1145%1.0916.8
Dust2650%0.9613.0
Nuke520%0.9114.4
Overpass333%0.8713.3
Anubis1100%0.7814.0
Train10%0.8320.0

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.

15.9%Headshot accuracy
41.1%Accuracy (enemy spotted)
39.8%Spray accuracy
49.3%Counter-strafing
10.6°Preaim
629msReaction time
48.9%T opening success
40.8%CT opening success
0.42Enemies flashed / flash
4.6%Flash assists
6.53HE damage / grenade
8.60Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4181 — below the 0.5 mark we flag

    Grenade Lineups →
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.

27% win rate across 15 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
inferno5–130.0415%27 Aug →
ancient13–100.0914%27 Aug →
mirage9–130.0813%25 Aug →
nuke13–90.0319%25 Aug →
mirage13–7-0.038%25 Aug →
ancient13–60.0329%25 Aug →
anubis13–2-0.0731%25 Aug →
inferno6–130.0113%24 Aug →
mirage13–40.0812%24 Aug →
anubis13–90.0814%24 Aug →
mirage12–120.0316%24 Aug →
dust29–13-0.0124%24 Aug →
mirage13–110.079%23 Aug →
anubis6–13-0.088%23 Aug →
mirage13–8-0.006%23 Aug →
inferno13–30.019%23 Aug →
dust29–130.1112%23 Aug →
ancient10–130.078%23 Aug →
dust29–13-0.0412%23 Aug →
nuke13–80.0532%21 Aug →
anubis13–16-0.0115%21 Aug →
mirage9–130.0623%21 Aug →
ancient5–13-0.0021%21 Aug →
dust213–50.0210%20 Aug →
anubis7–130.1011%20 Aug →
overpass4–13-0.0521%20 Aug →
mirage4–130.0328%20 Aug →
anubis7–13-0.009%20 Aug →
nuke6–130.0129%19 Aug →
mirage13–70.0315%19 Aug →
nuke16–140.0416%19 Aug →
mirage13–8-0.0018%19 Aug →
anubis7–13-0.0415%18 Aug →
anubis13–100.0912%18 Aug →
mirage13–40.0018%18 Aug →
mirage5–13-0.0516%18 Aug →
train4–13-0.069%18 Aug →
anubis10–130.0422%18 Aug →
mirage13–50.0424%17 Aug →
ancient9–130.0117%17 Aug →
dust211–13-0.0226%17 Aug →
dust210–130.0213%16 Aug →
nuke16–14-0.049%16 Aug →
inferno6–13-0.034%16 Aug →
nuke13–30.0114%16 Aug →
cache13–100.0513%16 Aug →
dust210–13-0.0119%16 Aug →
nuke10–130.0013%13 Aug →
inferno13–9-0.028%13 Aug →
inferno13–30.0415%13 Aug →
dust213–70.0815%12 Aug →
anubis10–130.0511%12 Aug →
mirage12–120.0414%12 Aug →
dust28–13-0.0116%12 Aug →
mirage13–3-0.049%11 Aug →
ancient11–13-0.090%11 Aug →
dust25–13-0.0427%11 Aug →
anubis11–130.0518%11 Aug →
inferno6–13-0.0517%10 Aug →
anubis3–13-0.0622%10 Aug →
anubis13–160.0118%10 Aug →
dust211–130.0221%9 Aug →
inferno5–13-0.043%9 Aug →
cache13–110.0412%9 Aug →
mirage5–13-0.0518%9 Aug →
anubis13–80.047%5 Aug →
mirage13–80.0126%3 Aug →
inferno13–7-0.0020%3 Aug →
nuke2–9-0.166%1 Aug →
mirage9–13-0.027%1 Aug →
anubis6–13-0.037%1 Aug →
nuke6–130.0512%1 Aug →
mirage4–11-0.0712%31 Jul →
nuke13–90.116%31 Jul →
mirage10–13-0.074%31 Jul →
nuke9–13-0.0710%31 Jul →
overpass13–110.027%31 Jul →
inferno8–13-0.0227%27 Jul →
mirage13–80.0423%27 Jul →
anubis11–13-0.0014%25 Jul →
ancient11–13-0.026%25 Jul →
nuke13–60.0313%25 Jul →
cache8–13-0.0111%25 Jul →
mirage7–130.0411%25 Jul →
nuke8–130.067%25 Jul →
anubis13–70.018%25 Jul →
mirage6–13-0.0313%25 Jul →
mirage13–100.0217%25 Jul →
anubis1–13-0.019%25 Jul →
ancient13–110.0212%25 Jul →
anubis13–8-0.0017%24 Jul →
mirage6–130.0011%24 Jul →
inferno13–11-0.027%24 Jul →
cache13–110.0313%24 Jul →
dust24–130.017%24 Jul →
dust213–40.038%24 Jul →
dust23–13-0.0714%24 Jul →
nuke13–80.016%24 Jul →
dust213–9-0.034%24 Jul →
anubis13–80.0413%23 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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