ArPaSikari

ArPaSikari — CS2 Stats

FI76561198094105944[U:1:133840216]Steam profile ↗✓ No bans

1,525Tracked matches43%Win rate2020Tracked since
4,136Hours in CS16Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 5 · 1,106 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,106 → 1,106
+62Tracked matches · now 1,525
+3.3ppWin rate · 40.0% → 43.3%

Rating over time

Faceit ELO: 1,106 +0 30 Aug – 18 Sept · 3 observations
1,1061,106peak 1,10630 Aug18 Sept
1,106Highest Faceit ELO seen on CSDB
42Days played since 2026-08-02

Faceit ELO

  • At peak — 1,106
  • Next: Level 6 at 1,201 — 95 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate31.5%43.8%44.8%13.3% short
Shot accuracy16.9%12.0%12.4%above
Kill/death ratio0.971.021.030.06 short
Match win rate41.6%44.7%45.2%3.6% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArPaSikariFACEITLevel 5 · 1,106 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,106csdb.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

Aim56
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateLLLWLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +5.8pp headshot accuracy · +11ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 686ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 626ms

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 (+2 against its own average).

Aim5.6
Utility4.3
Positioning5.8
Opening Duels1.6
Clutch3.4

Limited utility dependence

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

iM

Plays most like iM 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 608ms 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

Aim5.6
Positioning5.8
Utility4.3
Mechanics6.6
Opening Duels2.5
Win Impact2.8

Composite 4.5/10 (Developing), 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 -0.03 → last ⅓ avg -0.02
Reaction time600ms+57ms
first ⅓ avg 544ms → last ⅓ avg 600ms
Headshot accuracy13.1%−0.5%
first ⅓ avg 13.7% → last ⅓ avg 13.1%

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

0.10Best match rating · 13–5 · cache, 2 Nov →
41%Best headshot accuracy · 13–5 · cache, 2 Nov →
398msFastest reaction time · 13–6 · anubis, 1 Oct →
13–1Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 64% over 14infernoWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC2911–1838%-0.02
ancientC2712–1544%-0.02
infernoD174–1324%-0.02
anubisA149–564%-0.01
cacheA85–363%0.00
dust2—43–175%-0.02
mirage—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,896Lifetime kills
0.97K/D
5,791Matches
41.6%Match win rate
31.5%Headshot %
16.9%Shot accuracy · Top 25% of Level 5 players
9,704MVPs
2,595Hours (in match)
6,719Bombs planted
1,569Bombs defused

Most-used weapons

AK-4727,627
AWP14,920
UMP-455,054
SG 5533,888
AUG3,145
FAMAS2,619

Lifetime map wins

11,366inferno
7,586nuke
4,810dust2
2,128train
860cbble
673vertigo
234office
205lake

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

Faceit stats

Combat

1,374Matches
48%Win rate
0.99Avg K/D
70.8ADR
30%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient15745%0.9613.1
Nuke13753%1.0914.0
Inferno13245%1.0715.0
Anubis8642%1.0114.4
Overpass4248%1.0314.2
Mirage1844%0.9614.8
Dust21650%0.9113.3
Cache1250%0.9012.3

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.

13.2%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.3%Spray accuracy
79.6%Counter-strafing
9.3°Preaim
608msReaction time
37.1%T opening success
43.2%CT opening success
0.41Enemies flashed / flash
6.1%Flash assists
11.16HE damage / grenade
3.56Flashes / 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 13.1957% — 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 0.4131 — 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 37.1151% — below the 40% mark we flag

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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0115%4 Nov →
nuke5–13-0.0112%4 Nov →
inferno5–130.0320%4 Nov →
ancient13–11-0.0015%3 Nov →
dust210–13-0.0510%3 Nov →
cache13–50.1041%2 Nov →
inferno7–13-0.0511%2 Nov →
ancient13–100.0613%2 Nov →
anubis13–20.0911%29 Oct →
ancient13–5-0.057%29 Oct →
ancient13–9-0.030%28 Oct →
nuke13–100.013%28 Oct →
anubis10–130.0910%28 Oct →
anubis9–13-0.099%27 Oct →
dust213–6-0.0514%27 Oct →
nuke8–13-0.0814%25 Oct →
ancient11–13-0.0516%25 Oct →
nuke11–13-0.0317%25 Oct →
inferno7–130.0013%22 Oct →
nuke13–3-0.013%21 Oct →
ancient5–13-0.059%21 Oct →
anubis4–13-0.063%21 Oct →
nuke13–2-0.0220%20 Oct →
anubis13–80.013%20 Oct →
dust213–100.0220%20 Oct →
inferno8–13-0.0722%20 Oct →
nuke10–13-0.0220%18 Oct →
anubis10–13-0.0218%18 Oct →
nuke8–13-0.0419%18 Oct →
ancient13–8-0.008%15 Oct →
nuke5–13-0.089%15 Oct →
ancient9–13-0.0820%15 Oct →
anubis13–50.0210%14 Oct →
inferno10–13-0.0311%14 Oct →
nuke10–13-0.0221%14 Oct →
dust216–13-0.0314%13 Oct →
nuke6–130.0213%13 Oct →
ancient10–13-0.0113%11 Oct →
anubis13–8-0.0610%11 Oct →
cache9–13-0.0013%11 Oct →
ancient13–10-0.0112%6 Oct →
nuke8–13-0.0223%6 Oct →
cache13–9-0.005%6 Oct →
ancient6–130.0018%5 Oct →
anubis13–10-0.069%5 Oct →
nuke16–19-0.057%4 Oct →
anubis13–60.0422%1 Oct →
nuke6–13-0.063%1 Oct →
ancient8–13-0.104%27 Sept →
anubis13–11-0.0028%27 Sept →
nuke11–130.0519%22 Sept →
nuke13–50.0318%21 Sept →
inferno13–110.0213%21 Sept →
ancient6–130.0116%20 Sept →
nuke13–5-0.036%20 Sept →
ancient13–10.0533%20 Sept →
nuke16–12-0.0310%20 Sept →
ancient13–10-0.0519%17 Sept →
nuke12–16-0.0111%17 Sept →
anubis16–13-0.028%16 Sept →
nuke13–8-0.026%13 Sept →
nuke8–13-0.058%13 Sept →
ancient13–40.034%13 Sept →
nuke13–9-0.006%9 Sept →
nuke13–90.0415%9 Sept →
cache4–130.0514%9 Sept →
nuke19–22-0.019%8 Sept →
ancient6–13-0.0327%8 Sept →
ancient7–13-0.093%7 Sept →
inferno8–13-0.0522%3 Sept →
ancient13–6-0.0019%3 Sept →
nuke13–90.038%2 Sept →
inferno0–13-0.060%2 Sept →
nuke13–16-0.0115%2 Sept →
ancient8–13-0.0128%2 Sept →
ancient14–16-0.0218%1 Sept →
ancient7–13-0.109%30 Aug →
inferno11–130.0014%26 Aug →
ancient12–16-0.0514%26 Aug →
inferno10–130.0124%24 Aug →
inferno13–11-0.0111%24 Aug →
ancient6–13-0.0212%20 Aug →
inferno13–110.0519%20 Aug →
nuke9–13-0.0624%19 Aug →
ancient13–30.025%19 Aug →
cache13–70.0116%19 Aug →
inferno7–13-0.0513%19 Aug →
cache13–5-0.0711%9 Aug →
inferno9–13-0.0216%9 Aug →
ancient13–70.019%9 Aug →
ancient7–13-0.056%8 Aug →
inferno7–13-0.0514%6 Aug →
cache13–9-0.0122%6 Aug →
anubis13–11-0.0411%5 Aug →
inferno13–80.027%5 Aug →
inferno6–13-0.0516%5 Aug →
nuke11–13-0.0416%5 Aug →
nuke13–4-0.028%2 Aug →
mirage13–10-0.024%2 Aug →
cache13–16-0.048%2 Aug →

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 →

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