Arnepls

Arnepls — CS2 Stats

AX76561198104337918[U:1:144072190]Steam profile ↗✓ No bans

2,989Tracked matches30%Win rate2020Tracked since
4,427Hours in CS15Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
FaceitLevel 10 · 2,067 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,067 → 2,067
+23Tracked matches · now 2,989
+3.3ppWin rate · 26.7% → 30.0%

Rating over time

Premier CS Rating: 24,907 +1,383 24 Oct – 4 Jan · 9 days played
23,52425,926peak 25,92624 Oct4 Jan
Faceit ELO: 2,067 +0 1 Sept – 26 Sept · 3 observations
2,0672,067peak 2,0671 Sept26 Sept
25,936Peak Premier in tracked matches
2,067Highest Faceit ELO seen on CSDB
63Days played since 2025-10-20

Faceit ELO

  • At peak — 2,067
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 433 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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=29,986), 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 rate46.4%50.9%
Shot accuracy10.5%13.7%
Kill/death ratio1.051.09
Match win rate44.3%48.4%

Share this profile

CSDB.GGArneplsFACEITLevel 10 · 2,067 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,067csdb.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

Aim58
Positioning64
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLWWWWLLWLL

Last 10 vs previous 10: +40pp win rate · −0.00 avg rating · +2.1pp headshot accuracy · +16ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 573ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim5.8
Utility7.0
Positioning6.4
Opening Duels4.5
Clutch2.8

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

donk

Plays most like donk 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.8
Positioning6.4
Utility7.0
Mechanics4.1
Opening Duels4.7
Win Impact0.0

Composite 5.2/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time580ms−28ms
first ⅓ avg 608ms → last ⅓ avg 580ms
Headshot accuracy19.6%+4.8%
first ⅓ avg 14.8% → last ⅓ avg 19.6%

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 · 9–1 · inferno, 27 Nov →
31%Best headshot accuracy · 13–5 · inferno, 29 Dec →
398msFastest reaction time · 13–9 · inferno, 12 May →
13–1Biggest win · mirage, 18 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 63% over 24mirageWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA2716–1159%0.00
ancientA2415–963%0.01
mirageD184–1422%-0.02
dust2C94–544%0.01
overpassD72–529%-0.02
cache—40–40%-0.03
vertigo—30–30%0.02
train—32–167%-0.02
office—21–150%0.06
poseidon—10–10%-0.08
nuke—10–10%-0.04
rooftop—10–10%-0.18

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,632Lifetime kills
1.05K/D
6,423Matches
44.3%Match win rate
46.4%Headshot %
10.5%Shot accuracy
15,835MVPs
3,025Hours (in match)
10,139Bombs planted
1,688Bombs defused

Most-used weapons

AK-4772,913
AWP7,714
MAC-103,668
MP93,152
AUG3,017
FAMAS2,840

Lifetime map wins

15,447inferno
7,321vertigo
4,273nuke
3,125dust2
3,004train
305cbble
302lake
196office

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

Faceit stats

Combat

1,603Matches
51%Win rate
1.07Avg K/D
80.0ADR
41%Headshot %

Clutches & streaks

34%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient12258%1.1216.6
Inferno10663%1.1717.9
Mirage10346%0.9815.1
Vertigo4551%1.1017.7
Dust23033%0.9513.7
Anubis2433%0.9716.4
Overpass2223%1.3016.1
Cache1741%0.8713.0

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.

19.6%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.4%Spray accuracy
68.2%Counter-strafing
9.1°Preaim
564msReaction time
52.0%T opening success
45.8%CT opening success
0.62Enemies flashed / flash
7.2%Flash assists
10.94HE damage / grenade
15.99Flashes / match

Recommended for you

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.

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–13-0.0222%14 Oct →
ancient13–11-0.0018%14 Oct →
ancient13–90.0317%10 Oct →
inferno13–9-0.0312%6 Oct →
dust213–50.0419%6 Oct →
vertigo5–130.0522%29 Sept →
dust28–13-0.0515%25 Sept →
inferno19–170.0225%22 Sept →
cache6–13-0.1125%15 Sept →
dust26–13-0.0028%15 Sept →
inferno9–13-0.0320%30 Aug →
ancient3–13-0.0522%30 Aug →
ancient8–13-0.0214%20 Aug →
inferno8–13-0.0123%18 Aug →
ancient13–30.0014%18 Aug →
vertigo8–130.0318%6 Aug →
ancient8–130.0414%6 Aug →
mirage7–130.0014%27 Jul →
cache7–13-0.0018%22 Jul →
mirage7–13-0.0125%12 Jul →
office13–70.0418%9 Jul →
office6–130.0810%8 Jul →
ancient13–110.0928%16 Jun →
ancient7–13-0.0131%2 Jun →
inferno11–130.0418%29 May →
poseidon7–9-0.0819%14 May →
overpass9–00.0823%14 May →
inferno4–9-0.1324%14 May →
mirage9–130.0112%13 May →
cache7–13-0.0412%12 May →
inferno13–90.0521%12 May →
cache11–130.0429%10 May →
dust23–13-0.0615%10 May →
ancient13–100.0623%10 May →
nuke9–13-0.0420%5 May →
ancient13–110.0015%5 May →
inferno8–13-0.0121%5 May →
inferno13–8-0.0223%28 Apr →
mirage10–13-0.0114%12 Apr →
dust29–13-0.0116%12 Apr →
ancient11–13-0.0317%6 Apr →
ancient19–15-0.0211%28 Mar →
mirage12–16-0.0127%17 Mar →
mirage9–13-0.0511%7 Mar →
ancient13–7-0.0519%7 Mar →
ancient13–60.0525%3 Mar →
ancient7–13-0.0219%24 Feb →
mirage13–11-0.0628%22 Feb →
dust210–130.0123%20 Feb →
mirage5–13-0.039%16 Feb →
inferno11–13-0.0919%15 Feb →
dust213–50.0823%15 Feb →
ancient13–80.0313%10 Feb →
inferno3–9-0.089%8 Feb →
mirage12–120.009%30 Jan →
dust213–30.0524%30 Jan →
mirage13–8-0.077%24 Jan →
overpass6–13-0.0124%18 Jan →
inferno19–160.0521%16 Jan →
inferno13–90.0314%6 Jan →
mirage11–13-0.049%6 Jan →
ancient13–80.0531%6 Jan →
dust216–140.0616%4 Jan →
inferno13–100.0217%3 Jan →
inferno13–50.1031%29 Dec →
overpass10–13-0.0818%28 Dec →
ancient13–70.0715%28 Dec →
train4–13-0.1129%16 Dec →
inferno9–13-0.0213%16 Dec →
mirage13–100.0913%16 Dec →
inferno10–13-0.008%2 Dec →
mirage8–130.0218%30 Nov →
ancient16–130.0111%30 Nov →
inferno9–10.1413%27 Nov →
overpass10–13-0.0511%25 Nov →
mirage5–13-0.098%25 Nov →
mirage8–13-0.0315%23 Nov →
ancient7–13-0.013%23 Nov →
inferno16–130.029%22 Nov →
ancient3–13-0.0430%22 Nov →
inferno13–10-0.0122%22 Nov →
mirage1–13-0.0614%22 Nov →
ancient15–150.1119%22 Nov →
overpass11–13-0.027%22 Nov →
inferno13–60.0311%18 Nov →
mirage13–10.038%18 Nov →
inferno13–110.0217%16 Nov →
mirage12–12-0.0020%16 Nov →
train16–140.0519%9 Nov →
overpass14–16-0.0214%6 Nov →
inferno13–7-0.034%4 Nov →
inferno13–110.0622%4 Nov →
inferno7–13-0.0813%3 Nov →
inferno8–130.0718%26 Oct →
ancient16–130.0320%26 Oct →
inferno13–8-0.0519%24 Oct →
train13–100.0123%24 Oct →
ancient13–2-0.0117%24 Oct →
overpass9–7-0.0514%20 Oct →
rooftop4–9-0.187%20 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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