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Lasagna

Lasagna — CS2 Stats

US76561198872713396[U:1:912447668]Steam profile ↗

225Tracked matches57%Win rate2024Tracked since
343Hours in CS
CSDB Rating3.4 Learning
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim28
Positioning47
Utility34

0–100 skill scores via Leetify.

Recent form

HOT63–26–11Last 10063%Win rateLWLWWWWWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim2.8
Aggression7.2
Utility3.4
Positioning4.7
Opening Duels1.9
Clutch0.0

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

ropz

Plays most like ropz 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning4.7
Utility3.4
Mechanics1.3
Opening Duels1.9
Win Impact7.2

Composite 3.4/10 (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-0.04−0.04
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time654ms−2ms
first ⅓ avg 657ms → last ⅓ avg 654ms
Headshot accuracy11.5%+0.4%
first ⅓ avg 11.1% → last ⅓ avg 11.5%

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

0.26Best rating — inferno 9–1
13–1Biggest win — dust2
8Longest win streak
7–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 80% over 20dust2Weakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA4426–1859%-0.01
nukeS2016–480%-0.03
vertigoS75–271%-0.02
dust2C73–443%-0.03
mirageC73–443%-0.02
anubis—42–250%-0.04
cache—32–167%0.02
ancient—21–150%-0.06
train—11–0100%0.01
overpass—11–0100%0.18
boulder—11–0100%0.08
italy—11–0100%0.01
office—10–10%-0.03
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,824Lifetime kills
0.71K/D
1,845Matches
19.1%Match win rate
33.2%Headshot %
13.7%Shot accuracy · Top 50% of tracked players
969MVPs
343Hours (in match)
392Bombs planted
76Bombs defused

Most-used weapons

M4A4 / M4A1-S3,379
AK-472,942
AWP2,059
P2000 / USP-S708
SG 553699
Desert Eagle676
MP7667
AUG635
P90521
Knife512

Lifetime map wins

1,963dust2
556inferno
468nuke
241vertigo
101train
44italy
34safehouse
29office

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

Faceit stats

Combat

1Matches
0%Win rate
0.79Avg K/D
74.1ADR
55%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

11.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
38.5%Spray accuracy
55.9%Counter-strafing
10.7°Preaim
672msReaction time
38.9%T opening success
36.7%CT opening success
0.38Enemies flashed / flash
9.4%Flash assists
6.03HE damage / grenade
4.26Flashes / 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 11.3446% — 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 0.3819 — 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 38.9061% — below the 40% mark we flag

Spend your practice time on Dust 2

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo0–9-0.3027%27 Aug →
inferno9–6-0.010%23 Aug →
inferno7–9-0.1211%23 Aug →
nuke9–3-0.0314%22 Aug →
inferno9–4-0.0314%22 Aug →
inferno9–30.066%22 Aug →
inferno9–7-0.093%22 Aug →
inferno9–2-0.0125%22 Aug →
nuke9–50.0017%22 Aug →
inferno9–6-0.028%22 Aug →
inferno9–5-0.0121%22 Aug →
nuke8–8-0.0616%21 Aug →
nuke9–5-0.0711%21 Aug →
vertigo9–10.0215%21 Aug →
nuke9–5-0.0719%21 Aug →
nuke9–5-0.0236%21 Aug →
nuke9–6-0.1011%21 Aug →
inferno9–10.100%21 Aug →
inferno9–20.085%21 Aug →
inferno8–8-0.089%20 Aug →
inferno9–5-0.105%20 Aug →
inferno5–9-0.047%16 Aug →
inferno8–80.0712%16 Aug →
ancient7–0-0.040%16 Aug →
nuke10–0-0.0314%16 Aug →
vertigo9–6-0.0114%16 Aug →
cache13–5-0.0215%16 Aug →
inferno0–9-0.284%16 Aug →
inferno5–9-0.144%16 Aug →
anubis3–130.0215%16 Aug →
inferno9–30.0119%15 Aug →
inferno9–6-0.053%15 Aug →
vertigo9–20.060%14 Aug →
nuke8–8-0.1310%14 Aug →
nuke13–80.0416%14 Aug →
vertigo11–130.0817%14 Aug →
train13–50.014%14 Aug →
dust29–13-0.085%13 Aug →
dust210–130.0112%13 Aug →
inferno6–13-0.0716%13 Aug →
anubis13–9-0.0111%12 Aug →
nuke13–10-0.026%12 Aug →
nuke6–130.0716%12 Aug →
mirage8–13-0.039%12 Aug →
anubis5–13-0.110%10 Aug →
mirage9–2-0.019%10 Aug →
overpass13–50.1812%10 Aug →
boulder5–00.080%10 Aug →
italy13–30.0111%10 Aug →
dust213–3-0.036%10 Aug →
nuke13–30.019%10 Aug →
nuke3–13-0.0720%10 Aug →
dust213–1-0.0314%10 Aug →
inferno9–30.0933%9 Aug →
mirage13–10-0.0620%9 Aug →
anubis13–7-0.067%9 Aug →
inferno3–130.0519%9 Aug →
ancient2–13-0.085%13 Jul →
inferno8–8-0.1210%13 Jul →
inferno6–9-0.1014%13 Jul →
inferno9–40.1313%10 Jul →
inferno9–3-0.0018%10 Jul →
cache14–16-0.048%9 Jul →
dust213–30.0318%9 Jul →
mirage5–110.1010%9 Jul →
office5–13-0.037%9 Jul →
fachwerk9–1-0.060%9 Jul →
inferno12–120.056%7 Jul →
cache13–50.1217%7 Jul →
inferno9–5-0.079%7 Jul →
inferno8–8-0.1118%7 Jul →
inferno2–00.040%7 Jul →
inferno9–3-0.0427%7 Jul →
mirage13–6-0.0613%7 Jul →
vertigo9–20.064%7 Jul →
nuke9–00.130%7 Jul →
inferno9–10.2611%7 Jul →
inferno8–8-0.0918%7 Jul →
vertigo9–7-0.0513%6 Jul →
nuke9–7-0.032%6 Jul →
inferno9–40.1021%6 Jul →
inferno8–80.037%5 Jul →
nuke9–30.0115%5 Jul →
inferno9–70.1018%5 Jul →
inferno8–80.0314%5 Jul →
inferno9–7-0.063%4 Jul →
inferno9–20.0913%4 Jul →
inferno8–8-0.1711%4 Jul →
mirage2–13-0.0913%4 Jul →
dust25–13-0.119%4 Jul →
inferno9–10.1612%3 Jul →
nuke9–3-0.0610%3 Jul →
nuke9–6-0.0319%3 Jul →
inferno9–5-0.0412%3 Jul →
inferno9–50.147%1 Jul →
inferno6–9-0.0310%1 Jul →
nuke9–7-0.1511%1 Jul →
inferno5–9-0.180%1 Jul →
dust25–130.029%1 Jul →
mirage3–11-0.0214%1 Jul →

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 →

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