leantj

leantj — CS2 Stats

76561197969297530[U:1:9031802]Steam profile ↗✓ No bans

1,514Tracked matches59%Win rate2023Tracked since
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating16,089Purple band · top ~24.1% of ranked players (population est.)
FaceitLevel 4 · 1,128 ELOTop 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (5 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: 16,089 +4,532 16 Feb – 8 Oct · 37 days played
10,27916,536peak 16,53616 Feb8 Oct
16,536Peak Premier in tracked matches
1,128Highest Faceit ELO seen on CSDB
43Days played since 2026-02-16

Faceit ELO

  • At peak — 1,128
  • Next: Level 6 at 1,201 — 73 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-19
  • Level 4 first seen 2026-09-19

Premier CS Rating

  • 447 below peak (16,536)
  • +657 over 30 days · improving
  • Next: Pink band at 20,000 — 3,911 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGleantjFACEITLevel 4 · 1,128 ELOSTANDINGTop 81.0% of rankedPREMIER16,089 · Purple bandPEAK ELO1,128csdb.gg/stats

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Performance scores

Aim65
Positioning53
Utility44

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWLWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −4.7pp headshot accuracy · +8ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 635ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 612ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim6.5
Utility4.4
Positioning5.3
Opening Duels1.9
Clutch6.2

Strong CT-side openerLimited 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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, 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

T-side openings. Opening success drops from 53% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim6.5
Positioning5.3
Utility4.4
Mechanics5.5
Opening Duels2.9
Win Impact7.9

Composite 5.6/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time616ms−21ms
first ⅓ avg 638ms → last ⅓ avg 616ms
Headshot accuracy13.7%+0.6%
first ⅓ avg 13.1% → last ⅓ avg 13.7%

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

0.19Best match rating · 9–3 · inferno, 25 Mar →
31%Best headshot accuracy · 11–13 · dust2, 10 May →
438msFastest reaction time · 13–7 · anubis, 1 Oct →
13–2Biggest win · dust2, 12 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
dust2A3018–1260%-0.00
ancientB2614–1254%0.01
infernoC238–1535%-0.01
anubisS118–373%0.02
mirageC52–340%-0.02
cache—42–250%-0.03
nuke—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

125Matches
52%Win rate
1.06Avg K/D
74.1ADR
37%Headshot %

Clutches & streaks

51%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24452%0.9813.7
Inferno2846%1.0614.2
Ancient2454%1.2513.5
Nuke875%1.1920.1
Anubis757%0.9315.4
Mirage633%0.6811.5
Train450%1.5216.5
Vertigo10%1.0015.0

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.

13.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.1%Spray accuracy
74.8%Counter-strafing
8.4°Preaim
618msReaction time
21.8%T opening success
53.4%CT opening success
0.38Enemies flashed / flash
3.6%Flash assists
10.84HE damage / grenade
4.73Flashes / 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 13.8027% — 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 0.3825 — 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 21.8393% — below the 40% mark we flag

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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0015%8 Oct →
mirage10–13-0.0218%8 Oct →
anubis13–70.0119%1 Oct →
inferno13–9-0.043%1 Oct →
ancient13–110.0816%24 Sept →
anubis13–10-0.004%24 Sept →
ancient13–11-0.019%21 Sept →
cache13–70.0519%21 Sept →
mirage13–6-0.0118%9 Sept →
ancient8–13-0.030%9 Sept →
dust25–130.0118%9 Sept →
ancient6–130.1013%9 Sept →
ancient13–50.0216%8 Sept →
dust29–13-0.0824%8 Sept →
inferno13–11-0.0220%7 Sept →
cache8–13-0.0412%3 Sept →
inferno12–16-0.0518%3 Sept →
anubis7–13-0.0412%3 Sept →
anubis13–100.0115%19 Aug →
dust216–120.0321%19 Aug →
ancient13–110.0010%17 Aug →
dust213–40.1217%17 Aug →
cache3–13-0.065%17 Aug →
nuke9–13-0.0218%12 Aug →
ancient13–9-0.0311%12 Aug →
dust26–13-0.0914%10 Aug →
dust213–6-0.0014%10 Aug →
mirage15–15-0.0212%6 Aug →
ancient8–130.058%6 Aug →
dust213–70.0214%6 Aug →
anubis14–16-0.0115%5 Aug →
dust213–30.1110%5 Aug →
inferno8–130.0016%4 Aug →
dust26–13-0.0315%4 Aug →
ancient2–13-0.0712%4 Aug →
ancient16–14-0.0213%2 Aug →
inferno13–8-0.0711%2 Aug →
dust213–40.036%2 Aug →
ancient13–70.0314%30 Jul →
dust213–50.1218%30 Jul →
inferno13–80.0124%28 Jul →
dust213–4-0.0121%28 Jul →
ancient13–80.015%28 Jul →
ancient4–130.0123%26 Jul →
inferno5–13-0.0220%26 Jul →
dust215–150.0113%26 Jul →
dust24–13-0.0723%12 May →
inferno11–130.0822%12 May →
dust29–130.0012%12 May →
dust211–13-0.0231%10 May →
cache13–6-0.0712%29 Apr →
inferno10–130.0125%20 Apr →
dust24–13-0.1010%20 Apr →
dust213–70.0520%16 Apr →
inferno13–16-0.0214%16 Apr →
anubis13–10-0.0316%15 Apr →
dust213–10-0.0117%15 Apr →
inferno6–13-0.0414%13 Apr →
inferno6–13-0.069%13 Apr →
inferno13–160.0116%12 Apr →
dust213–2-0.0310%12 Apr →
inferno9–13-0.0421%9 Apr →
ancient13–11-0.0218%9 Apr →
mirage13–40.0313%9 Apr →
inferno15–15-0.0117%7 Apr →
ancient13–8-0.029%7 Apr →
anubis13–11-0.004%7 Apr →
ancient11–130.023%6 Apr →
ancient13–50.0513%31 Mar →
anubis3–110.0423%31 Mar →
ancient7–13-0.046%31 Mar →
ancient13–100.0516%30 Mar →
dust213–20.018%30 Mar →
dust213–5-0.0027%30 Mar →
ancient8–13-0.055%25 Mar →
dust28–13-0.0714%25 Mar →
inferno9–30.1915%25 Mar →
inferno6–13-0.025%23 Mar →
inferno2–13-0.0919%23 Mar →
dust213–6-0.0214%23 Mar →
inferno13–100.017%22 Mar →
anubis13–80.1511%22 Mar →
anubis13–50.005%19 Mar →
ancient13–110.004%19 Mar →
dust213–90.0521%19 Mar →
dust213–11-0.0113%12 Mar →
ancient11–13-0.0421%12 Mar →
dust216–140.0017%10 Mar →
ancient8–130.0214%10 Mar →
mirage11–13-0.0923%10 Mar →
ancient10–130.0125%9 Mar →
dust25–13-0.043%9 Mar →
inferno11–13-0.0315%8 Mar →
inferno13–20.036%8 Mar →
dust27–13-0.0415%24 Feb →
inferno13–80.0518%24 Feb →
inferno8–8-0.1013%24 Feb →
ancient10–13-0.0418%23 Feb →
ancient13–110.1017%23 Feb →
anubis13–80.042%16 Feb →

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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