Jeremy Lin

Jeremy Lin — CS2 Stats

WS76561198163588469[U:1:203322741]Steam profile ↗✓ No bans

1,118Tracked matches46%Win rate2020Tracked since
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating16,135Purple band · top ~23.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,118 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 17 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 16,135 -2,767 17 Jun14 Sept · 17 days played
15,71718,902peak 18,90217 Jun14 Sept
19,254Peak Premier in tracked matches
37Days played since 2026-06-17

Premier CS Rating

  • 2,767 below peak (18,902)
  • -2,767 over 90 days
  • Next: Pink band at 20,000 3,865 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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.GGJeremy LinFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,135 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

HOT365113Last 10036%Win rateLWWWWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −7.7pp headshot accuracy · −46ms reaction

Win rate up 50pp 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.7
Utility5.4
Positioning6.1
Opening Duels4.6

Effective flashes

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

iM

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 621ms 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
Positioning6.1
Utility5.4
Mechanics7.5
Opening Duels3.7
Win Impact3.8

Composite 5.9/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time625ms+9ms
first ⅓ avg 616ms → last ⅓ avg 625ms
Headshot accuracy18.2%+1.1%
first ⅓ avg 17.0% → last ⅓ avg 18.2%

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

0.10Best match rating · 13–7 · mirage, 27 Aug
44%Best headshot accuracy · 9–13 · dust2, 15 Jul
453msFastest reaction time · 7–13 · nuke, 21 Jun
13–2Biggest win · anubis, 28 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
67In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%-0.02
mirageC2181338%-0.01
nukeB126650%-0.00
infernoD100100%-0.03
ancientD92722%-0.02
anubisS86275%0.02
cacheD7070%-0.04
train1010%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
35%Win rate
0.69Avg K/D
ADR
40%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.508.7
Vertigo450%1.0516.5
Ancient30%0.6611.0
Anubis250%0.8614.5
Nuke10%0.386.0

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.

17.9%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.6%Spray accuracy
83.6%Counter-strafing
8.5°Preaim
621msReaction time
39.0%T opening success
50.9%CT opening success
0.73Enemies flashed / flash
2.4%Flash assists
6.85HE damage / grenade
10.87Flashes / 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 39.0135% — 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.

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–130.0128%6 Sept
dust213–3-0.0319%4 Sept
anubis13–20.046%28 Aug
nuke13–9-0.069%28 Aug
mirage13–110.0913%27 Aug
mirage13–70.1011%27 Aug
nuke8–13-0.0611%27 Aug
mirage13–100.0110%25 Aug
dust213–6-0.0026%13 Aug
anubis13–60.018%11 Aug
mirage9–13-0.0612%11 Aug
cache7–130.0118%9 Aug
nuke11–13-0.0030%8 Aug
nuke13–60.0427%7 Aug
dust21–8-0.0333%7 Aug
train5–13-0.1017%7 Aug
dust29–130.0721%7 Aug
dust216–140.0319%1 Aug
dust23–13-0.0219%1 Aug
dust213–90.0423%1 Aug
inferno7–130.0228%1 Aug
inferno12–12-0.0211%17 Jul
mirage12–12-0.0415%17 Jul
dust28–13-0.0213%17 Jul
mirage13–7-0.0312%16 Jul
dust29–13-0.0344%15 Jul
dust29–13-0.0516%15 Jul
cache10–13-0.097%12 Jul
mirage13–60.0614%11 Jul
inferno4–130.0425%11 Jul
dust213–4-0.0120%10 Jul
dust22–13-0.0419%10 Jul
nuke13–70.0114%10 Jul
inferno12–12-0.0618%10 Jul
anubis12–12-0.059%10 Jul
mirage7–130.0313%10 Jul
cache0–13-0.0918%10 Jul
dust213–8-0.0216%10 Jul
dust23–13-0.0421%9 Jul
inferno6–13-0.0216%9 Jul
nuke12–12-0.0224%9 Jul
mirage12–12-0.0615%9 Jul
mirage12–120.0116%8 Jul
cache8–13-0.0423%8 Jul
cache9–130.0114%8 Jul
nuke12–120.0324%5 Jul
anubis13–11-0.0120%5 Jul
mirage6–13-0.0219%5 Jul
anubis13–90.0318%5 Jul
inferno3–13-0.076%5 Jul
dust212–12-0.0328%4 Jul
anubis13–100.0621%3 Jul
nuke13–10-0.0115%3 Jul
ancient11–13-0.0617%3 Jul
mirage16–14-0.0514%2 Jul
dust28–13-0.1018%2 Jul
dust213–10-0.0239%1 Jul
dust213–9-0.0032%1 Jul
dust213–6-0.0438%1 Jul
dust213–100.0022%30 Jun
ancient16–130.0610%30 Jun
mirage3–13-0.0226%30 Jun
dust26–13-0.0318%29 Jun
dust24–13-0.0419%29 Jun
nuke13–100.0524%29 Jun
mirage11–130.0019%29 Jun
mirage10–13-0.0326%29 Jun
ancient7–130.0114%28 Jun
mirage13–9-0.0118%27 Jun
nuke5–13-0.0316%27 Jun
mirage11–13-0.0421%27 Jun
dust213–5-0.0325%27 Jun
cache12–12-0.0022%27 Jun
ancient4–13-0.0711%26 Jun
mirage12–12-0.0325%26 Jun
inferno10–13-0.0427%26 Jun
dust21–13-0.0617%26 Jun
ancient15–150.0119%25 Jun
ancient6–13-0.0821%25 Jun
anubis13–80.0722%24 Jun
dust22–13-0.0515%24 Jun
mirage13–11-0.0217%24 Jun
cache10–13-0.0626%24 Jun
dust25–130.000%23 Jun
mirage1–9-0.040%22 Jun
mirage6–130.000%22 Jun
dust213–50.0112%21 Jun
ancient13–60.0024%21 Jun
ancient14–16-0.049%21 Jun
ancient10–130.0115%21 Jun
nuke7–13-0.0414%21 Jun
dust212–120.0217%21 Jun
inferno7–130.0026%19 Jun
inferno11–13-0.0411%19 Jun
anubis12–16-0.0214%19 Jun
dust216–140.0220%19 Jun
inferno3–13-0.1024%18 Jun
dust213–8-0.0718%18 Jun
dust211–13-0.0229%18 Jun
nuke13–70.0616%17 Jun

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 →