Asca1348

Asca1348 — CS2 Stats

SG76561199045325535[U:1:1085059807]Steam profile ↗✓ No bans

155Tracked matches40%Win rate2021Tracked since
101Hours in CS
CSDB Rating3.6 Learning
FaceitLevel 4 · 1,025 ELOTop 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=1,711), 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 rate46.4%42.7%44.0%above
Shot accuracy7.4%10.8%11.6%4.2% short
Kill/death ratio0.971.001.030.05 short
Match win rate46.8%44.1%45.1%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGAsca1348FACEITLevel 4 · 1,025 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning54
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLWWWWWWLLL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

Aim4.2
Aggression7.7
Utility4.4
Positioning5.4
Opening Duels3.6
Clutch4.2

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 83% 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.2
Positioning5.4
Utility4.4
Mechanics3.5
Opening Duels3.6
Win Impact1.7

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time656ms−5ms
first ⅓ avg 661ms → last ⅓ avg 656ms
Headshot accuracy16.4%−2.6%
first ⅓ avg 18.9% → last ⅓ avg 16.4%

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.

Highlights

0.09Best rating — nuke 10–13
131Biggest win — mirage
8Longest win streak
89In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 69% over 16ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D1641225%-0.03
mirageS1611569%-0.01
vertigoA169756%-0.00
nukeC125742%-0.01
trainS128467%-0.02
ancientD102820%-0.01
infernoD92722%-0.02
overpassD93633%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,686Lifetime kills
0.97K/D
265Matches
46.8%Match win rate · Top 50% of Level 4 players
46.4%Headshot % · Top 50% of Level 4 players
7.4%Shot accuracy
533MVPs
101Hours (in match)
329Bombs planted
51Bombs defused

Most-used weapons

Lifetime map wins

312dust2
299nuke
252inferno
231train
230vertigo
18office

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

Faceit stats

Combat

35Matches
54%Win rate
0.69Avg K/D
63.0ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno978%0.6312.4
Dust2633%0.9218.5
Ancient50%0.6010.4
Nuke425%0.7314.8
Mirage475%0.7413.8
Train4100%0.7115.0
Overpass367%0.406.7

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.

16.9%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.6%Spray accuracy
65.7%Counter-strafing
10.5°Preaim
655msReaction time
45.1%T opening success
43.7%CT opening success
0.80Enemies flashed / flash
4.6%Flash assists
6.23HE damage / grenade
9.12Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0429%8 Mar
mirage13–80.0317%8 Mar
nuke13–11-0.0520%8 Mar
train13–7-0.0423%5 Jan
mirage13–6-0.0324%5 Jan
vertigo13–20.0320%5 Jan
vertigo13–110.0214%1 Jan
vertigo7–130.0119%23 Dec
nuke10–130.0119%23 Dec
inferno7–13-0.0614%22 Dec
dust213–6-0.0415%22 Dec
dust26–130.0015%15 Dec
mirage11–13-0.076%13 Dec
ancient4–13-0.0516%12 Dec
mirage13–8-0.075%10 Dec
overpass8–13-0.074%7 Dec
ancient4–13-0.0413%7 Dec
inferno11–13-0.0114%6 Dec
train0–13-0.086%6 Dec
overpass6–13-0.0711%5 Dec
dust28–13-0.0430%5 Dec
ancient5–13-0.0118%29 Nov
nuke13–10-0.0317%28 Nov
train13–5-0.0318%28 Nov
ancient13–70.0118%28 Nov
dust211–130.0213%26 Nov
dust213–16-0.0436%22 Nov
ancient11–130.0914%20 Nov
overpass9–130.0224%20 Nov
vertigo13–11-0.047%20 Nov
vertigo7–13-0.0315%18 Nov
dust213–160.0018%15 Nov
vertigo11–13-0.039%15 Nov
vertigo13–80.0619%15 Nov
vertigo13–110.0634%14 Nov
vertigo12–12-0.0312%6 Nov
mirage7–13-0.094%6 Nov
nuke8–13-0.0633%4 Nov
ancient9–13-0.0728%4 Nov
train13–50.029%29 Oct
nuke13–40.0414%29 Oct
dust27–13-0.0616%27 Oct
overpass13–8-0.0117%27 Oct
vertigo13–4-0.0119%27 Oct
ancient7–130.0627%24 Oct
nuke10–130.0914%24 Oct
vertigo7–13-0.0113%24 Oct
mirage12–120.0734%22 Oct
dust25–13-0.0331%22 Oct
ancient11–13-0.0318%18 Oct
dust213–9-0.0011%16 Oct
ancient15–15-0.0610%16 Oct
nuke5–13-0.0418%16 Oct
inferno6–13-0.0429%16 Oct
mirage13–90.0626%15 Oct
inferno12–12-0.0224%9 Oct
mirage3–13-0.0119%9 Oct
mirage13–5-0.0127%9 Oct
overpass1–130.0215%9 Oct
vertigo5–13-0.0323%8 Oct
overpass13–90.0029%8 Oct
vertigo13–30.0129%2 Oct
inferno8–130.0414%1 Oct
nuke13–6-0.0137%30 Sept
inferno13–3-0.0820%25 Sept
train13–30.013%25 Sept
vertigo13–5-0.0115%18 Sept
dust213–8-0.0420%17 Sept
ancient13–100.0023%17 Sept
inferno13–11-0.0212%16 Sept
train13–2-0.0225%12 Sept
train12–12-0.056%12 Sept
mirage13–1-0.0350%3 Sept
vertigo13–70.0418%3 Sept
dust213–9-0.0821%3 Sept
nuke2–13-0.1011%30 Aug
nuke5–130.0418%28 Aug
vertigo12–12-0.076%28 Aug
overpass7–13-0.0118%28 Aug
mirage3–20.0120%28 Aug
mirage2–130.0433%25 Aug
dust215–15-0.0021%24 Aug
train16–14-0.0514%24 Aug
mirage13–4-0.0417%24 Aug
mirage16–12-0.0414%23 Aug
dust211–13-0.0519%23 Aug
mirage13–80.0420%21 Aug
dust28–13-0.0619%21 Aug
inferno6–13-0.0110%20 Aug
nuke13–8-0.0321%20 Aug
train7–130.0615%18 Aug
dust211–13-0.0822%18 Aug
overpass4–13-0.0324%18 Aug
mirage13–40.0223%18 Aug
train13–11-0.0320%11 Aug
train13–8-0.0415%11 Aug
nuke11–130.0422%11 Aug
train5–13-0.0125%11 Aug
inferno9–130.0118%8 Aug
overpass13–70.047%6 Aug

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 →