asran

asran — CS2 Stats

PROFree AgentPolandRiflerSettings & gear profile →

CC76561198123468426[U:1:163202698]Steam profile ↗✓ No bans

2,595Tracked matches57%Win rate2020Tracked since
25,519Hours in CS
CSDB Rating5.9 SolidPositional Player
FaceitLevel 10 · 3,064 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,595 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 3,064 +0 28 Aug – 26 Sept · 10 observations
3,0643,064peak 3,06428 Aug26 Sept
3,064Highest Faceit ELO seen on CSDB
62Days played since 2023-12-06

Faceit ELO

  • At peak — 3,064
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 436 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate60.2%50.9%
Shot accuracy17.0%13.7%
Kill/death ratio0.841.09
Match win rate49.4%48.4%

Share this profile

CSDB.GGasranFACEITLevel 10 · 3,064 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,064csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim65
Positioning61
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWLWWWWLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · −31ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 556ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 572ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim6.5
Utility4.1
Positioning6.1
Opening Duels5.0
Clutch2.6

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 58% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim6.5
Positioning6.1
Utility4.1
Mechanics5.1
Opening Duels3.5
Win Impact7.2

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time552ms+1ms
first ⅓ avg 551ms → last ⅓ avg 552ms
Headshot accuracy28.3%+4.4%
first ⅓ avg 23.9% → last ⅓ avg 28.3%

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

0.14Best match rating · 13–7 · nuke, 12 Aug →
45%Best headshot accuracy · 13–5 · inferno, 7 Jan →
344msFastest reaction time · 6–13 · mirage, 4 Jan →
13–0Biggest win · vertigo, 3 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–9In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 81% over 16infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC2712–1544%0.01
anubisB189–950%-0.01
mirageA1710–759%0.01
nukeS1613–381%0.04
vertigoA85–363%-0.02
infernoD81–713%-0.03
train—20–20%-0.06
dust2—21–150%-0.00
overpass—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

369,116Lifetime kills
0.84K/D
11,125Matches
49.4%Match win rate · Top 50% of Level 10 players
60.2%Headshot % · Top 25% of Level 10 players
17.0%Shot accuracy · Top 25% of Level 10 players
33,679MVPs
25,519Hours (in match)
5,861Bombs planted
2,963Bombs defused

Most-used weapons

AK-47149,446
AWP15,764
Glock-1810,963
MP910,122
Knife8,703
P2506,844
MAC-106,488

Lifetime map wins

19,264nuke
16,973inferno
10,342dust2
10,291train
9,533vertigo
2,963cbble
236office
21safehouse

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

Faceit stats

Combat

6,616Matches
55%Win rate
1.13Avg K/D
84.8ADR
54%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient21357%1.1918.1
Anubis14756%1.0716.7
Mirage12959%1.1217.5
Nuke10459%1.2218.7
Inferno4347%1.1216.9
Overpass3765%1.1816.3
Dust23345%1.1115.8
Vertigo2959%1.0513.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$4Inventory value31ItemsFull inventory breakdown →
Desert Eagle | Serpent Strike (Field-Tested)$1M4A4 | Poly Mag (Minimal Wear)$0MAG-7 | Resupply (Minimal Wear)$0AWP | Safari Mesh (Field-Tested)$0USP-S | PC-GRN (Well-Worn)$0USP-S | PC-GRN (Battle-Scarred)$0

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.4%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.1%Spray accuracy
73.1%Counter-strafing
13.0°Preaim
563msReaction time
28.1%T opening success
58.0%CT opening success
0.52Enemies flashed / flash
8.5%Flash assists
6.21HE damage / grenade
12.77Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9786° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
train7–13-0.0921%17 Jun →
dust213–11-0.0133%10 Jun →
ancient3–130.0829%10 Jun →
vertigo13–90.0128%10 Jun →
vertigo13–00.0029%3 Jun →
vertigo13–6-0.0226%3 Jun →
mirage13–70.0428%16 Apr →
ancient10–130.0524%1 Feb →
mirage1–13-0.0027%29 Jan →
anubis13–70.0332%21 Jan →
inferno13–5-0.0145%7 Jan →
nuke13–40.1135%23 Dec →
mirage8–130.0227%28 Nov →
ancient13–80.1035%1 Nov →
nuke16–12-0.0317%23 Aug →
nuke16–140.0531%19 Aug →
nuke13–70.1425%12 Aug →
nuke16–120.0723%1 Apr →
dust214–16-0.0034%6 Feb →
train13–16-0.0329%13 Jan →
ancient13–80.0326%10 Dec →
ancient3–13-0.1338%17 Nov →
nuke6–13-0.0336%9 Oct →
ancient6–130.0120%26 Jul →
mirage6–13-0.0131%26 Jul →
anubis19–160.0733%25 Jul →
anubis13–11-0.0225%7 Jul →
nuke13–40.1120%5 May →
vertigo5–13-0.0330%17 Apr →
ancient12–16-0.0122%14 Apr →
nuke13–110.0431%10 Apr →
anubis9–13-0.0720%4 Apr →
anubis11–130.0025%1 Apr →
overpass10–13-0.0039%8 Mar →
nuke13–110.0620%8 Mar →
nuke10–13-0.0222%6 Mar →
ancient13–100.0423%6 Mar →
ancient11–130.0824%6 Mar →
overpass13–70.0141%5 Mar →
mirage13–80.0526%5 Mar →
anubis12–160.0132%4 Mar →
ancient13–100.1041%4 Mar →
ancient13–40.1032%4 Mar →
ancient15–130.0221%28 Feb →
ancient28–31-0.0022%27 Feb →
ancient13–10.0029%26 Feb →
ancient13–30.0519%25 Feb →
ancient14–16-0.0425%22 Feb →
ancient11–13-0.0416%20 Feb →
ancient2–13-0.0813%12 Feb →
anubis4–13-0.0321%12 Feb →
anubis2–130.0219%8 Feb →
anubis13–70.0619%7 Feb →
inferno3–13-0.0827%5 Feb →
ancient6–13-0.0417%2 Feb →
inferno11–130.0024%30 Jan →
ancient13–40.0623%30 Jan →
inferno0–4-0.0433%29 Jan →
anubis13–10.0221%29 Jan →
ancient9–13-0.0113%28 Jan →
anubis13–8-0.0521%28 Jan →
inferno10–13-0.0619%27 Jan →
nuke13–7-0.0131%26 Jan →
mirage13–50.0137%26 Jan →
ancient13–30.0341%26 Jan →
inferno8–130.0124%17 Jan →
nuke16–14-0.0115%17 Jan →
anubis13–11-0.0429%17 Jan →
mirage13–10.0319%17 Jan →
mirage4–13-0.0222%16 Jan →
anubis13–6-0.0121%16 Jan →
anubis11–13-0.0330%7 Jan →
vertigo10–13-0.0429%7 Jan →
mirage13–90.0122%7 Jan →
nuke1–13-0.0224%7 Jan →
ancient8–13-0.0231%5 Jan →
nuke13–110.0218%5 Jan →
vertigo8–13-0.0733%5 Jan →
mirage6–13-0.0121%4 Jan →
mirage13–10-0.0430%4 Jan →
mirage16–140.0626%4 Jan →
mirage12–160.0320%4 Jan →
mirage4–13-0.0319%4 Jan →
vertigo13–8-0.0018%4 Jan →
anubis10–13-0.0620%4 Jan →
vertigo13–7-0.0415%3 Jan →
ancient19–160.0119%3 Jan →
anubis14–16-0.0527%3 Jan →
anubis13–9-0.0418%2 Jan →
mirage13–11-0.0218%2 Jan →
ancient8–13-0.0827%31 Dec →
nuke13–110.0430%30 Dec →
anubis7–13-0.0229%14 Dec →
nuke13–60.0416%14 Dec →
mirage13–8-0.0216%14 Dec →
mirage16–13-0.0232%14 Dec →
ancient14–16-0.0529%9 Dec →
inferno9–13-0.0132%7 Dec →
ancient13–5-0.0623%7 Dec →
inferno13–16-0.0327%6 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.