Sausage_with_legs

Sausage_with_legs — CS2 Stats

76561198131291132[U:1:171025404]Steam profile ↗

475Tracked matches44%Win rate2023Tracked since
887Hours in CS1Hrs last 2 wks
CSDB Rating3.2 LearningClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSausage_with_legsFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning36
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY454213Last 10045%Win rateLLWWLWLTWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.9
Aggression2.5
Utility0.7
Positioning3.6
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 712ms 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

Aim3.9
Positioning3.6
Utility0.7
Mechanics5.6
Opening Duels0.2
Win Impact3.0

Composite 3.2/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time709ms−27ms
first ⅓ avg 736ms → last ⅓ avg 709ms
Headshot accuracy14.2%+1.0%
first ⅓ avg 13.3% → last ⅓ avg 14.2%

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.

Highlights

0.04Best rating — jura 13–4
130Biggest win — dust2
5Longest win streak
L2Current streak
54In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 63% over 8trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%-0.05
nukeC146843%-0.05
ancientC104640%-0.06
infernoA85363%-0.06
overpassB84450%-0.05
cacheC73443%-0.06
grailA74357%-0.03
mirageD61517%-0.06
trainD5050%-0.07
anubis31233%-0.09
vertigo21150%-0.08
jura220100%0.01
palacio1010%-0.13

Across the last 100 tracked matches.

Lifetime stats

16,264Lifetime kills
0.70K/D
1,649Matches
44.5%Match win rate
31.8%Headshot %
11.5%Shot accuracy
1,454MVPs
892Hours (in match)
1,026Bombs planted
129Bombs defused

Most-used weapons

Lifetime map wins

2,350dust2
1,535inferno
1,024nuke
410train
274vertigo
180cbble
56italy
41office

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

Faceit stats

Combat

5Matches
60%Win rate
0.54Avg K/D
36.7ADR
25%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.608.0
Anubis250%0.334.5
Inferno1100%0.8517.0

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.

14.6%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.1%Spray accuracy
75.0%Counter-strafing
8.6°Preaim
712msReaction time
22.9%T opening success
31.7%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
4.70HE damage / grenade
0.34Flashes / 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 14.6296% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 711.8271ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.1502 — below the 0.5 mark we flag

    Grenade Lineups
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0218%20 Aug
dust26–13-0.0723%20 Aug
inferno13–9-0.0118%3 Aug
inferno13–8-0.0117%12 Jul
dust23–13-0.079%12 Jul
cache13–10-0.0618%12 Jul
vertigo3–13-0.0718%12 Jul
dust212–12-0.0613%3 Jul
cache13–3-0.078%3 Jul
nuke10–3-0.110%22 Jun
dust21–13-0.1014%22 Jun
ancient7–13-0.0233%22 Jun
nuke10–13-0.0718%12 Jun
cache13–9-0.039%11 Jun
nuke13–110.0116%11 Jun
dust213–4-0.0113%11 Jun
dust29–13-0.0816%8 Jun
ancient13–1-0.0412%8 Jun
mirage9–13-0.0815%8 Jun
cache9–13-0.0916%2 Jun
dust213–11-0.0314%2 Jun
mirage7–13-0.0215%2 Jun
cache10–13-0.0513%29 May
overpass13–10-0.0325%22 May
cache12–12-0.079%15 May
train12–12-0.069%15 May
nuke8–13-0.0413%15 May
cache12–12-0.0417%14 May
nuke12–12-0.055%14 Dec
overpass7–13-0.119%14 Dec
nuke3–13-0.105%6 Dec
dust213–5-0.0122%6 Dec
palacio5–13-0.1311%2 Oct
ancient13–2-0.010%28 Sept
nuke13–4-0.0219%28 Sept
inferno13–10-0.0613%28 Sept
dust213–10-0.0810%28 Sept
overpass9–13-0.0517%28 Sept
overpass13–8-0.0319%27 Sept
inferno12–12-0.0613%27 Sept
mirage13–5-0.0311%27 Sept
dust213–4-0.066%27 Sept
mirage7–13-0.078%23 Aug
inferno6–13-0.0718%23 Aug
nuke12–12-0.0510%23 Aug
anubis12–12-0.0924%7 Aug
jura13–40.0421%5 Aug
jura13–4-0.0213%5 Aug
overpass6–13-0.0111%5 Aug
dust211–13-0.0428%5 Aug
dust212–12-0.129%4 Aug
grail13–8-0.026%6 Jul
ancient3–13-0.130%4 Jul
dust29–13-0.0713%4 Jul
nuke9–13-0.046%3 Jul
grail12–12-0.0520%3 Jul
grail10–13-0.035%2 Jul
train9–10-0.110%30 Jun
dust25–13-0.0814%30 Jun
inferno13–10-0.0525%23 Jun
dust213–100.0015%22 Jun
grail5–10-0.0011%22 Jun
train11–13-0.075%22 Jun
dust212–8-0.020%22 Jun
grail13–11-0.1016%22 Jun
grail13–100.0212%22 Jun
ancient12–12-0.0321%22 Jun
train4–13-0.106%21 Jun
dust28–13-0.054%21 Jun
anubis4–13-0.1121%21 Jun
nuke8–13-0.0618%20 Jun
dust24–13-0.0423%20 Jun
overpass3–13-0.1022%19 Jun
dust212–12-0.079%18 Jun
mirage6–13-0.0716%18 Jun
train2–13-0.0411%18 Jun
nuke13–9-0.0424%18 Jun
dust213–4-0.0517%17 Jun
ancient13–10-0.047%16 Jun
vertigo10–4-0.095%16 Jun
nuke13–7-0.0913%15 Jun
dust26–13-0.0518%15 Jun
dust213–6-0.006%15 Jun
mirage3–13-0.104%15 Jun
anubis13–11-0.070%14 Jun
dust213–60.0222%14 Jun
ancient11–13-0.0312%14 Jun
nuke13–20.0118%14 Jun
dust213–40.035%14 Jun
inferno13–2-0.120%13 Jun
ancient12–12-0.0914%13 Jun
dust213–11-0.086%13 Jun
inferno9–13-0.110%12 Jun
dust213–7-0.0726%12 Jun
nuke10–13-0.0719%12 Jun
grail13–9-0.0615%12 Jun
overpass13–4-0.035%12 Jun
ancient13–9-0.138%12 Jun
dust213–0-0.0414%12 Jun
overpass13–8-0.0750%11 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →