Lind

Lind — CS2 Stats

SE76561198276453573[U:1:316187845]Steam profile ↗✓ No bans

789Tracked matches59%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating17,982Purple band · top ~16.5% of ranked players (population est.)
FaceitLevel 7 · 1,485 ELOTop 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. 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. 58 days played since 20 Nov 2025. 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: 17,982 -3,901 20 Nov21 Sept · 18 days played
14,60423,465peak 23,46520 Nov21 Sept
23,582Peak Premier in tracked matches
1,485Highest Faceit ELO seen on CSDB
58Days played since 2025-11-20

Faceit ELO

  • At peak — 1,485
  • Next: Level 8 at 1,531 46 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 5,483 below peak (23,465)
  • Next: Pink band at 20,000 2,018 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLindFACEITLevel 7 · 1,485 ELOSTANDINGTop 42.3% of rankedPREMIER17,982 · Purple bandPEAK ELO1,485csdb.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

Aim76
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateWLLWLWWLTL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.5pp headshot accuracy · −77ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 27%
  • Avg reaction 562ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 564ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 602ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.6
Utility4.6
Positioning4.3
Opening Duels2.1
Clutch0.8

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

device

Plays most like device 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim7.6
Positioning4.3
Utility4.6
Mechanics7.9
Opening Duels1.9
Win Impact8.1

Composite 6.0/10 (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-0.04−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time659ms+11ms
first ⅓ avg 649ms → last ⅓ avg 659ms
Headshot accuracy23.3%+0.7%
first ⅓ avg 22.6% → last ⅓ avg 23.3%

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

0.09Best match rating · 13–7 · inferno, 21 Apr
53%Best headshot accuracy · 2–13 · mirage, 20 Nov
414msFastest reaction time · 11–13 · ancient, 25 Nov
13–3Biggest win · cache, 4 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
56In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 61% over 18infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C28121643%-0.02
mirageC2381535%-0.02
cacheA1811761%-0.03
ancientB105550%-0.02
infernoD72529%-0.00
anubis43175%-0.02
overpass43175%-0.00
nuke31233%-0.03
boulder1010%-0.05
vertigo1010%-0.06
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

362Matches
55%Win rate
0.82Avg K/D
66.6ADR
47%Headshot %

Clutches & streaks

24%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1275%0.9712.5
Mirage1267%0.8013.4
Dust21080%1.0914.0
Inferno683%0.9510.7
Overpass475%0.8214.5
Anubis333%0.6010.0
Nuke250%0.8414.0
Vertigo250%0.547.5

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
34.3%Accuracy (enemy spotted)
37.7%Spray accuracy
85.6%Counter-strafing
9.2°Preaim
642msReaction time
24.7%T opening success
45.2%CT opening success
0.46Enemies flashed / flash
8.1%Flash assists
3.70HE damage / grenade
7.27Flashes / 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 0.4605 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 24.6786% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0129%21 Sept
nuke2–13-0.0822%18 Sept
inferno7–13-0.1025%17 Sept
dust213–9-0.1228%17 Sept
mirage10–13-0.0629%7 Sept
cache13–3-0.0711%4 Sept
ancient13–8-0.0112%4 Sept
ancient9–130.0421%3 Sept
cache15–150.0034%1 Sept
inferno1–4-0.0150%31 Aug
dust213–3-0.0718%31 Aug
mirage3–13-0.0629%31 Aug
ancient3–13-0.0130%30 Aug
cache13–9-0.0423%30 Aug
dust213–10-0.0715%30 Aug
mirage4–13-0.0219%30 Aug
ancient13–4-0.0115%30 Aug
dust213–30.0137%29 Aug
mirage13–11-0.0122%29 Aug
cache9–1-0.0218%29 Aug
dust213–6-0.0123%29 Aug
mirage13–80.0124%12 Aug
mirage10–13-0.0320%11 Aug
cache13–8-0.0122%9 Aug
cache6–13-0.0616%8 Aug
dust25–13-0.0824%8 Aug
cache12–12-0.0615%6 Aug
cache13–7-0.0420%18 Jul
cache13–7-0.0126%14 Jul
inferno12–12-0.0413%14 Jul
cache13–4-0.0318%10 Jul
boulder12–12-0.0518%9 Jul
dust26–13-0.0644%6 Jul
dust213–7-0.0018%21 Jun
dust24–13-0.0333%16 Jun
cache5–13-0.0633%6 Jun
anubis13–100.0532%28 May
cache8–130.0124%26 May
cache13–8-0.0523%25 May
dust213–3-0.0315%25 May
cache13–70.0214%25 May
ancient4–13-0.0713%25 May
dust213–80.0014%23 May
cache8–13-0.0324%23 May
cache13–10-0.0430%21 May
cache13–100.0625%14 May
cache8–13-0.0927%13 May
dust28–13-0.0426%22 Apr
inferno13–70.0915%21 Apr
mirage14–16-0.0517%20 Apr
anubis13–30.0230%20 Apr
overpass13–6-0.0118%17 Apr
nuke13–60.0826%17 Apr
mirage11–13-0.0619%17 Apr
dust27–13-0.0124%17 Apr
anubis13–9-0.0714%17 Apr
ancient13–10-0.0314%17 Apr
dust211–130.0214%16 Apr
dust21–13-0.0614%16 Apr
dust28–13-0.0514%15 Apr
overpass10–130.0616%15 Apr
mirage8–13-0.0517%15 Apr
anubis4–13-0.0718%15 Apr
mirage9–13-0.0617%6 Apr
dust213–40.0826%6 Apr
mirage13–50.0929%28 Mar
dust211–130.0125%23 Mar
dust213–110.0228%18 Mar
mirage13–110.0716%5 Mar
mirage3–130.0024%17 Feb
inferno10–130.0919%17 Feb
dust26–130.0327%17 Feb
dust26–13-0.0318%16 Feb
dust211–13-0.0315%29 Jan
mirage13–8-0.0315%4 Jan
mirage4–13-0.0524%27 Dec
mirage13–9-0.0317%27 Dec
dust25–13-0.0319%27 Dec
dust27–130.0133%26 Dec
vertigo2–13-0.0611%26 Dec
ancient9–13-0.0215%15 Dec
mirage6–130.0230%15 Dec
ancient13–8-0.0012%14 Dec
mirage9–13-0.0622%9 Dec
mirage10–130.0119%7 Dec
mirage2–130.0333%5 Dec
dust24–40.0130%5 Dec
inferno3–13-0.0129%5 Dec
nuke6–13-0.0830%5 Dec
overpass13–6-0.0523%5 Dec
dust213–90.0425%5 Dec
ancient13–50.0221%28 Nov
overpass13–11-0.0120%28 Nov
dust215–15-0.0413%27 Nov
inferno4–0-0.0325%27 Nov
mirage10–10.0338%26 Nov
ancient11–13-0.1015%25 Nov
dust27–13-0.1018%22 Nov
mirage2–13-0.0553%20 Nov
train9–13-0.047%20 Nov

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 →