Lin Palutti

Lin Palutti — CS2 Stats

GL76561198058773914[U:1:98508186]Steam profile ↗✓ No bans

483Tracked matches68%Win rate2020Tracked since
4,451Hours in CS
CSDB Rating6.6 SolidSupport
CSDB Leaderboard#13030 of 239409 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify
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. 42 days played since 4 Jul 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,903 +4,751 4 Jul29 Oct · 5 days played
20,04725,903peak 25,9034 Jul29 Oct
25,903Peak Premier in tracked matches
42Days played since 2024-07-04

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

Performance scores

Aim69
Positioning62
Utility68

0–100 skill scores via Leetify.

Recent form

HOT70282Last 10070%Win rateWWWWLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +6.2pp headshot accuracy · +50ms 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 609ms

Last 10

  • 91 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 1442 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

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 against its own average).

Aim6.9
Utility6.8
Positioning6.2
Opening Duels4.4
Clutch6.0

Strong CT-side opener

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

jL

Plays most like jL 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 57% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9
Positioning6.2
Utility6.8
Mechanics6.2
Opening Duels3.8
Win Impact10.0

Composite 6.6/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time560ms−28ms
first ⅓ avg 588ms → last ⅓ avg 560ms
Headshot accuracy14.4%−1.0%
first ⅓ avg 15.4% → last ⅓ avg 14.4%

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

0.20Best match rating · 13–6 · overpass, 1 May
35%Best headshot accuracy · 13–1 · dust2, 18 Mar
414msFastest reaction time · 13–2 · nuke, 9 May
13–0Biggest win · train, 5 Aug

Across the last 100 tracked matches.

Highlights

20Longest win streak
W4Current streak
102In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 83% over 6trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2117481%0.03
mirageS1914574%0.03
infernoS118373%0.03
nukeB105550%0.02
vertigoS65183%0.01
overpassS65183%0.06
trainC52340%0.01
ancientA53260%0.01
cache43175%0.01
anubis43175%0.03
office32167%0.02
shelter21150%0.09
boulder1010%-0.03
italy110100%0.04
warden1010%-0.09
grail110100%-0.03

Across the last 100 tracked matches.

Lifetime stats

208,793Lifetime kills
1.28K/D · Top 10% of tracked players
7,291Matches
57.3%Match win rate · Top 5% of tracked players
47.0%Headshot % · Top 50% of tracked players
16.8%Shot accuracy · Top 25% of tracked players
25,952MVPs
4,451Hours (in match)
8,749Bombs planted
2,631Bombs defused

Most-used weapons

AK-4773,075
AWP25,267
Knife8,801
Nova4,316
SG 5533,985
P2503,103

Lifetime map wins

9,499inferno
9,019dust2
5,310train
5,197vertigo
3,582nuke
2,002cbble
248office
215lake

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

Faceit stats

Combat

752Matches
64%Win rate
1.23Avg K/D
78.2ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
10%1v2 clutch win
21Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1771%1.2713.8
Cache1669%1.1114.5
Mirage1547%1.0915.2
Dust21369%0.9914.2
Inferno633%0.7612.2
Nuke475%1.0014.8
Anubis10%0.7512.0

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.

14.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.9%Spray accuracy
77.9%Counter-strafing
9.6°Preaim
547msReaction time
33.6%T opening success
56.9%CT opening success
0.68Enemies flashed / flash
10.1%Flash assists
10.94HE damage / grenade
11.98Flashes / 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 14.2909% — below the 15% mark we flag

    Aim Training
  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 33.5771% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
office13–50.0327%5 Aug
cache13–70.1032%5 Aug
train13–0-0.0119%5 Aug
vertigo13–7-0.0517%5 Aug
mirage13–16-0.028%5 Aug
vertigo13–100.0515%3 Aug
dust213–110.029%3 Aug
anubis13–4-0.018%23 Jul
dust213–30.0719%23 Jul
ancient13–60.0621%23 Jul
nuke13–100.0317%23 Jul
vertigo2–13-0.094%22 Jul
inferno13–50.075%22 Jul
cache13–9-0.0410%22 Jul
ancient13–100.0215%21 Jul
inferno13–110.086%21 Jul
cache12–120.018%20 Jul
mirage12–120.0424%18 Jul
shelter4–130.079%18 Jul
inferno6–13-0.0013%15 Jul
overpass13–50.0711%15 Jul
boulder6–13-0.0318%15 Jul
dust210–130.0816%13 Jul
ancient5–130.0710%13 Jul
inferno13–110.0019%12 Jul
mirage8–13-0.0011%11 Jul
dust213–50.0725%10 Jul
mirage9–130.0315%10 Jul
shelter13–80.1216%9 Jul
inferno13–110.019%5 Jul
nuke13–30.0519%5 Jul
ancient13–7-0.0515%27 May
nuke10–130.127%27 May
anubis10–13-0.0110%27 May
office5–13-0.0120%18 May
italy13–80.0413%18 May
inferno13–30.0535%9 May
nuke13–20.0627%9 May
dust213–20.0713%9 May
nuke5–13-0.0718%2 May
cache13–5-0.0326%2 May
overpass13–60.2023%1 May
warden6–13-0.0921%1 May
mirage13–1-0.0127%23 Apr
dust213–40.0114%23 Apr
train3–13-0.0212%23 Apr
train10–130.0219%22 Apr
mirage13–30.1016%22 Apr
overpass13–20.0115%22 Apr
overpass13–60.0319%15 Apr
dust213–110.0920%15 Apr
nuke3–80.1320%10 Apr
dust213–6-0.0212%31 Mar
dust213–40.0328%31 Mar
mirage13–30.1313%26 Mar
dust213–8-0.0413%26 Mar
mirage13–20.1012%22 Mar
dust213–7-0.0220%22 Mar
vertigo13–30.0617%18 Mar
anubis13–00.1213%18 Mar
inferno13–20.0615%18 Mar
dust213–10.0935%18 Mar
dust213–70.0716%18 Mar
overpass13–4-0.0216%18 Mar
mirage13–10-0.0317%18 Mar
mirage8–00.0522%18 Mar
dust213–00.1017%18 Mar
office13–10.0613%13 Nov
dust213–110.0216%29 Oct
mirage13–90.0122%29 Oct
vertigo13–70.0315%24 Oct
vertigo13–80.0725%24 Oct
dust23–13-0.0113%21 Oct
train8–130.029%21 Oct
mirage13–9-0.0219%16 Oct
anubis13–70.0116%16 Oct
nuke13–110.0117%16 Oct
nuke11–13-0.0314%14 Oct
dust213–90.0817%9 Oct
dust213–80.0515%9 Oct
mirage10–13-0.0014%9 Oct
inferno3–13-0.0219%9 Oct
mirage13–110.0412%8 Oct
nuke13–11-0.0610%8 Oct
inferno13–30.1015%8 Oct
mirage13–50.1616%8 Oct
mirage13–60.0216%8 Oct
dust28–13-0.037%6 Oct
mirage13–10.0323%6 Oct
grail13–11-0.0314%30 Aug
nuke8–13-0.0229%3 Feb
mirage13–9-0.0218%10 Dec
train13–30.0516%10 Dec
mirage13–9-0.0412%10 Dec
overpass9–130.0812%11 Nov
dust213–70.0316%11 Nov
ancient7–13-0.0617%13 Jul
inferno13–00.0415%13 Jul
dust20–13-0.097%13 Jul
inferno14–16-0.0511%4 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches20-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →