[lomborgini] swoo:PP — CS2 Stats

76561198113805917[U:1:153540189]

1,063Tracked matches52%Win rate2020Tracked since
2,433Hours in CS
CSDB Rating4.4 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.6%42.5%44.2%3.6% short
Shot accuracy17.0%10.9%11.2%above
Kill/death ratio0.930.991.040.11 short
Match win rate41.5%44.2%45.3%3.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[lomborgini] swoo:PPFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning56
Utility32

0–100 skill scores via Leetify.

Recent form

HOT53443Last 10053%Win rateWWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

Aim4.1
Aggression7.4
Utility3.2
Positioning5.6
Opening Duels3.6

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 585ms 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

Aim4.1
Positioning5.6
Utility3.2
Mechanics4.5
Opening Duels3.6
Win Impact5.6

Composite 4.4/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time587ms−26ms
first ⅓ avg 613ms → last ⅓ avg 587ms
Headshot accuracy14.0%−3.4%
first ⅓ avg 17.4% → last ⅓ avg 14.0%

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

0.16Best rating — italy 13–3
131Biggest win — nuke
6Longest win streak
W6Current streak
113In matches decided by ≤2 rounds
2Overtime games

Map breakdown

italyBest map · 67% over 9mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB189950%0.02
nukeB189950%-0.00
overpassB157847%-0.00
trainA127558%-0.00
mirageC104640%-0.01
italyS96367%0.05
dust242250%-0.03
office32167%-0.04
anubis31233%-0.04
vertigo21150%-0.01
inferno220100%0.06
warden110100%0.00
alpine110100%-0.06
palacio110100%-0.04
golden1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,890Lifetime kills
0.93K/D
7,131Matches
41.5%Match win rate
40.6%Headshot %
17.0%Shot accuracy · Top 25% of Level 4 players
15,277MVPs
2,433Hours (in match)
4,777Bombs planted
1,149Bombs defused

Most-used weapons

AK-4722,715
AWP13,000
SSG 088,133
P2504,042
FAMAS2,353

Lifetime map wins

6,984dust2
6,183inferno
5,115train
4,896nuke
1,539cbble
1,467office
1,156vertigo
340assault

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

Faceit stats

Combat

308Matches
52%Win rate
1.02Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

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.

14.5%Headshot accuracy
26.6%Accuracy (enemy spotted)
30.2%Spray accuracy
70.1%Counter-strafing
9.4°Preaim
585msReaction time
39.9%T opening success
49.3%CT opening success
0.47Enemies flashed / flash
0.8%Flash assists
12.55HE damage / grenade
2.25Flashes / 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 14.4958% — 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 0.4653 — 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 39.906% — below the 40% mark we flag

Spend your practice time on Mirage

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 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–80.0114%26 Apr
train13–11-0.0615%23 Apr
italy13–11-0.0215%8 Feb
warden13–70.0015%8 Feb
nuke9–30.0310%8 Feb
alpine13–8-0.065%28 Jan
nuke5–130.0512%28 Jan
ancient2–13-0.058%17 Jan
overpass13–11-0.0225%10 Jan
train13–50.057%9 Jan
overpass8–13-0.0015%9 Jan
ancient13–60.0520%9 Jan
ancient13–100.1117%8 Jan
dust26–13-0.0024%8 Jan
ancient8–13-0.0116%8 Jan
ancient10–130.068%7 Jan
overpass13–110.0313%7 Jan
overpass13–110.0318%4 Jan
train13–110.0520%3 Jan
overpass7–13-0.0012%3 Jan
train9–13-0.032%3 Jan
overpass3–13-0.0319%2 Jan
train10–13-0.0412%2 Jan
overpass5–130.0212%2 Jan
dust26–13-0.0729%1 Jan
mirage13–30.0218%1 Jan
mirage10–130.0015%1 Jan
train13–40.0111%26 Dec
ancient12–12-0.035%25 Dec
overpass6–13-0.0216%25 Dec
nuke14–16-0.0610%24 Dec
ancient13–30.1011%24 Dec
italy13–50.0811%23 Dec
italy5–130.1210%23 Dec
italy13–100.0622%22 Dec
nuke13–10-0.058%21 Dec
office6–13-0.0811%21 Dec
overpass6–130.0013%21 Dec
ancient13–110.0212%21 Dec
ancient13–100.0019%21 Dec
train2–6-0.0411%21 Dec
italy13–30.1624%21 Dec
italy2–6-0.008%21 Dec
ancient3–13-0.077%14 Dec
anubis13–10-0.0217%14 Dec
mirage10–13-0.0219%12 Dec
nuke13–30.0323%12 Dec
mirage14–16-0.0815%12 Dec
dust213–6-0.0317%12 Dec
overpass13–60.0216%12 Dec
nuke8–130.087%12 Dec
vertigo5–13-0.048%11 Dec
nuke13–10.0433%11 Dec
mirage13–90.0710%11 Dec
inferno13–10.1211%10 Dec
nuke8–130.012%10 Dec
overpass9–13-0.0815%7 Dec
vertigo13–70.029%7 Dec
anubis12–12-0.0127%7 Dec
mirage13–110.0111%5 Dec
nuke8–130.0016%5 Dec
train10–130.0210%5 Dec
nuke13–9-0.0822%1 Dec
mirage11–13-0.0322%1 Dec
anubis7–13-0.0917%24 Nov
office13–10-0.0112%21 Nov
nuke13–6-0.0418%21 Nov
italy13–6-0.0117%21 Nov
overpass8–10.0021%21 Nov
overpass8–130.0113%15 Nov
ancient13–60.0515%15 Nov
palacio13–7-0.047%15 Nov
train12–1-0.0321%15 Nov
ancient13–30.0113%15 Nov
office13–11-0.0313%15 Nov
mirage8–130.0110%15 Nov
ancient8–130.0121%15 Nov
mirage13–11-0.0116%9 Nov
nuke5–130.0410%9 Nov
nuke8–13-0.036%9 Nov
mirage3–13-0.0424%8 Nov
nuke4–13-0.0219%8 Nov
nuke4–13-0.0520%8 Nov
train13–60.0618%8 Nov
ancient13–60.0316%8 Nov
train8–130.0124%8 Nov
ancient12–12-0.0210%8 Nov
nuke13–70.0017%8 Nov
italy13–70.1414%8 Nov
overpass13–90.0319%8 Nov
golden8–13-0.0412%3 Nov
ancient9–130.0613%3 Nov
overpass13–9-0.047%2 Nov
nuke13–10-0.0510%2 Nov
italy9–13-0.0725%25 Oct
ancient10–13-0.0121%25 Oct
nuke13–5-0.0058%25 Oct
train13–3-0.0521%25 Oct
dust213–9-0.0217%25 Oct
inferno13–110.0026%23 Oct

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 →