Jean Rean

Jean Rean — CS2 Stats

76561198132916262[U:1:172650534]Steam profile ↗✓ No bans

817Tracked matches38%Win rate2020Tracked since
1,399Hours in CS2Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,043 -643 26 Apr – 4 May · 3 days played
15,04315,686peak 15,68626 Apr4 May
15,686Peak Premier in tracked matches
42Days played since 2026-04-15

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 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate33.6%41.8%42.7%9.1% short
Shot accuracy17.5%12.2%11.3%above
Kill/death ratio1.090.980.99above
Match win rate41.8%43.3%43.9%2.2% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJean ReanFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning45
Utility36

0–100 skill scores via Leetify.

Recent form

COLD41–48–11Last 10041%Win rateLLWLLWLTWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.3pp headshot accuracy · +11ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 554ms

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 (+1.7 against its own average).

Aim6.6
Utility3.6
Positioning4.5
Opening Duels0.2

Limited utility dependence

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

sh1ro

Plays most like sh1ro 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. 565ms 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

Aim6.6
Positioning4.5
Utility3.6
Mechanics6.6
Opening Duels0.7
Win Impact1.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time562ms−65ms
first ⅓ avg 627ms → last ⅓ avg 562ms
Headshot accuracy13.2%+2.5%
first ⅓ avg 10.8% → last ⅓ avg 13.2%

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.

Personal bests

0.19Best match rating · 13–4 · shelter, 10 Jul →
32%Best headshot accuracy · 3–13 · nuke, 22 May →
438msFastest reaction time · 4–13 · ancient, 22 Aug →
13–1Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
2–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC188–1044%0.01
cacheD155–1033%0.00
dust2C135–838%0.00
nukeA116–555%0.01
anubisA106–460%0.00
infernoC104–640%-0.01
ancientD92–722%0.00
train—42–250%0.04
poseidon—20–20%-0.07
eldorado—10–10%-0.07
debris—11–0100%0.10
boulder—11–0100%0.07
fachwerk—10–10%0.07
shelter—11–0100%0.19
office—10–10%0.05
overpass—10–10%0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,527Lifetime kills
1.09K/D · Top 50% of Level 3 players
2,210Matches
41.8%Match win rate
33.6%Headshot %
17.5%Shot accuracy · Top 25% of Level 3 players
4,535MVPs
777Hours (in match)
2,057Bombs planted
566Bombs defused

Most-used weapons

AK-4714,006
AWP2,296
AUG2,063
MP91,326
SG 5531,281
MAC-101,007

Lifetime map wins

2,595inferno
1,801nuke
1,187dust2
1,177train
609vertigo
281cbble
107lake
72office

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

Faceit stats

Combat

8Matches
12%Win rate
0.82Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%1.2024.0
Dust210%0.7710.0
Mirage10%0.569.0

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.

13.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.4%Spray accuracy
79.7%Counter-strafing
9.7°Preaim
565msReaction time
31.7%T opening success
33.9%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
7.18HE damage / grenade
3.55Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.489% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4756 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.7187% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.068%23 Sept →
mirage9–13-0.0120%23 Sept →
dust213–5-0.0127%23 Sept →
mirage6–13-0.0011%18 Sept →
anubis4–13-0.068%18 Sept →
ancient13–4-0.0218%18 Sept →
eldorado6–9-0.0721%18 Sept →
poseidon8–8-0.0313%18 Sept →
debris9–50.1013%18 Sept →
inferno2–9-0.0411%18 Sept →
train8–13-0.0318%14 Sept →
cache8–130.0512%14 Sept →
inferno9–13-0.0420%12 Sept →
ancient13–90.1115%12 Sept →
mirage13–10.0810%12 Sept →
dust213–90.0323%12 Sept →
ancient4–130.0012%8 Sept →
dust24–13-0.058%8 Sept →
nuke13–20.0111%8 Sept →
mirage13–40.0317%7 Sept →
mirage9–13-0.013%30 Aug →
anubis8–130.0214%25 Aug →
nuke13–80.028%25 Aug →
train13–40.0410%22 Aug →
ancient4–13-0.0913%22 Aug →
nuke10–13-0.0110%19 Aug →
mirage7–13-0.0416%19 Aug →
anubis3–13-0.0117%28 Jul →
boulder13–10.0714%28 Jul →
nuke13–10.026%28 Jul →
fachwerk12–120.079%27 Jul →
dust211–13-0.017%27 Jul →
dust29–13-0.0314%25 Jul →
cache3–13-0.0328%25 Jul →
dust29–130.0513%17 Jul →
nuke13–60.039%17 Jul →
cache7–130.0215%10 Jul →
shelter13–40.1911%10 Jul →
ancient15–150.029%26 Jun →
mirage7–130.0511%26 Jun →
ancient10–130.057%25 Jun →
anubis13–100.0713%15 Jun →
train13–110.0524%15 Jun →
poseidon4–9-0.1212%9 Jun →
anubis13–60.058%2 Jun →
cache6–130.0220%2 Jun →
inferno7–13-0.0511%23 May →
dust212–120.0211%23 May →
nuke3–13-0.0432%22 May →
inferno11–13-0.0119%22 May →
cache9–130.026%22 May →
cache13–50.028%19 May →
mirage9–130.0323%19 May →
ancient2–13-0.0921%19 May →
dust24–130.0123%19 May →
cache13–4-0.0413%18 May →
anubis13–2-0.0117%17 May →
inferno8–130.017%17 May →
inferno13–90.0515%16 May →
inferno7–90.0012%16 May →
office12–120.059%15 May →
inferno13–10-0.028%15 May →
cache13–80.019%12 May →
dust25–13-0.0415%4 May →
cache4–13-0.0212%4 May →
nuke12–120.0111%4 May →
overpass10–130.0212%4 May →
mirage12–12-0.025%4 May →
cache13–80.076%2 May →
anubis13–11-0.027%1 May →
mirage13–20.063%1 May →
cache8–130.035%1 May →
cache8–13-0.025%29 Apr →
cache13–9-0.008%29 Apr →
cache12–12-0.0215%29 Apr →
train12–120.086%28 Apr →
nuke10–130.0010%28 Apr →
mirage9–10.037%28 Apr →
anubis13–7-0.0015%27 Apr →
inferno13–6-0.035%27 Apr →
mirage13–10.039%27 Apr →
dust25–13-0.0211%27 Apr →
dust213–10.0322%26 Apr →
mirage11–13-0.0610%26 Apr →
inferno13–40.068%26 Apr →
ancient12–120.0718%25 Apr →
dust213–60.0312%25 Apr →
mirage13–60.016%24 Apr →
anubis7–13-0.0513%24 Apr →
mirage12–12-0.0218%22 Apr →
ancient10–13-0.0511%22 Apr →
anubis13–40.0522%21 Apr →
nuke13–50.0423%21 Apr →
nuke9–13-0.0511%20 Apr →
mirage13–50.0718%20 Apr →
vertigo2–13-0.047%20 Apr →
dust213–60.067%17 Apr →
mirage5–130.0211%17 Apr →
nuke13–60.059%15 Apr →
mirage13–90.0013%15 Apr →

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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