Arppa

Arppa — CS2 Stats

FI76561198166806475[U:1:206540747]Steam profile ↗✓ No bans

1,826Tracked matches30%Win rate2020Tracked since
4,197Hours in CS15Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,981Top 50% of 204,793 CSDB-tracked playersPurple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#83642 of 252055 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,981 -427 6 Sept – 9 Oct · 10 days played
19,87821,819peak 21,8196 Sept9 Oct
21,938Peak Premier in tracked matches
1,499Highest Faceit ELO seen on CSDB
37Days played since 2026-07-03

Premier CS Rating

  • 1,838 below peak (21,819)
  • -311 over 30 days · steady
  • Next: Pink band at 20,000 — 19 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-19

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches35——
Win rate51%——
K/D1.17——
Headshot %51%——

Measured 19 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.6%44.3%46.9%above
Shot accuracy12.8%11.9%13.0%meets
Kill/death ratio1.291.031.08above
Match win rate71.4%45.2%46.7%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGArppaPREMIER19,981 · Purple bandPEAK ELO1,499csdb.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

Aim75
Positioning65
Utility60

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLWLLLLWLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −3.7pp headshot accuracy · +54ms 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 32%
  • Avg reaction 692ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 627ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 600ms

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 (+1.4 against its own average).

Aim7.5
Utility6.0
Positioning6.5
Opening Duels5.0
Clutch3.0

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 588ms 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

Aim7.5
Positioning6.5
Utility6.0
Mechanics5.4
Opening Duels6.2
Win Impact0.0

Composite 5.9/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time584ms−20ms
first ⅓ avg 604ms → last ⅓ avg 584ms
Headshot accuracy26.5%+1.1%
first ⅓ avg 25.4% → last ⅓ avg 26.5%

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

0.22Best match rating · 9–0 · inferno, 29 Aug →
60%Best headshot accuracy · 4–8 · rush_001, 2 Oct →
359msFastest reaction time · 0–4 · inferno, 8 Sept →
13–0Biggest win · train, 20 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
2–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 53% over 15mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB158–753%0.05
nukeB158–753%0.02
anubisD155–1033%0.03
cacheC114–736%0.02
ancientB63–350%0.03
mirageD61–517%0.01
overpass—42–250%0.06
dust2—40–40%0.03
shelter—42–250%0.10
rush_001—32–167%0.01
train—32–167%0.05
boulder—31–233%0.04
italy—33–0100%0.12
vertigo—32–167%-0.03
fachwerk—20–20%0.08
office—20–20%0.05
debris—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,111Lifetime kills
1.29K/D · Top 25% of Purple band
11,543Matches
71.4%Match win rate · Top 1% of Purple band
49.6%Headshot % · Top 50% of Purple band
12.8%Shot accuracy · Top 50% of Purple band
14,855MVPs
2,699Hours (in match)
6,713Bombs planted
1,453Bombs defused

Most-used weapons

AK-4744,938
AWP18,957
SG 5532,218
SSG 082,128
P2502,094

Lifetime map wins

7,564inferno
7,396dust2
4,665nuke
3,003train
2,202vertigo
488italy
430office
380lake

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

Faceit stats

Combat

95Matches
61%Win rate
1.40Avg K/D
88.3ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1145%1.1216.1
Nuke978%1.8716.3
Inferno786%1.7423.3
Anubis771%1.6415.9
Dust2560%1.4317.8
Mirage580%1.4518.6
Overpass475%1.7418.0
Vertigo450%1.5218.0

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.

24.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
40.5%Spray accuracy
74.3%Counter-strafing
10.0°Preaim
588msReaction time
52.2%T opening success
57.7%CT opening success
0.60Enemies flashed / flash
5.6%Flash assists
6.43HE damage / grenade
10.78Flashes / 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass9–130.0327%10 Oct →
inferno13–60.0733%9 Oct →
ancient4–13-0.0418%3 Oct →
nuke11–13-0.1040%2 Oct →
anubis8–130.0443%2 Oct →
cache10–130.1733%2 Oct →
mirage13–100.1315%2 Oct →
inferno12–16-0.0212%2 Oct →
nuke9–130.0225%2 Oct →
anubis9–13-0.0811%2 Oct →
ancient16–13-0.0216%2 Oct →
dust25–13-0.0435%2 Oct →
dust25–130.0921%2 Oct →
inferno7–13-0.0533%2 Oct →
mirage9–13-0.0342%2 Oct →
anubis6–13-0.080%2 Oct →
rush_0014–8-0.0260%2 Oct →
rush_0016–20.0129%2 Oct →
rush_0016–20.0636%2 Oct →
cache9–130.0222%25 Sept →
nuke13–7-0.0227%25 Sept →
anubis13–30.0223%24 Sept →
mirage4–13-0.0623%23 Sept →
anubis13–70.029%21 Sept →
mirage7–13-0.038%21 Sept →
inferno13–70.0520%20 Sept →
anubis13–20.1017%20 Sept →
train13–00.0948%20 Sept →
nuke5–130.0613%18 Sept →
fachwerk1–130.0230%18 Sept →
boulder2–130.0231%18 Sept →
train3–130.0243%18 Sept →
office4–130.1131%18 Sept →
italy13–10.1129%15 Sept →
nuke13–60.1127%15 Sept →
boulder3–13-0.0131%15 Sept →
vertigo6–1-0.008%15 Sept →
nuke13–60.0321%12 Sept →
cache11–13-0.0119%12 Sept →
inferno13–60.0511%12 Sept →
inferno13–90.0121%11 Sept →
anubis11–130.0116%11 Sept →
anubis7–130.0525%9 Sept →
italy13–50.0922%8 Sept →
overpass6–130.0430%8 Sept →
inferno0–4-0.0933%8 Sept →
anubis13–40.1517%8 Sept →
anubis6–130.0129%6 Sept →
ancient13–50.0524%6 Sept →
inferno13–30.1622%6 Sept →
overpass8–10.1114%6 Sept →
cache8–130.0224%6 Sept →
inferno11–130.0124%5 Sept →
shelter13–40.1542%5 Sept →
boulder13–80.1021%5 Sept →
nuke13–90.0427%5 Sept →
cache0–6-0.090%3 Sept →
anubis8–130.0710%2 Sept →
cache13–110.1224%2 Sept →
inferno2–130.0621%2 Sept →
debris3–9-0.0217%2 Sept →
cache7–130.0616%30 Aug →
nuke13–30.1218%30 Aug →
nuke8–8-0.0423%29 Aug →
inferno9–00.2227%29 Aug →
inferno4–130.0634%19 Aug →
nuke11–130.0824%15 Aug →
anubis9–13-0.0216%15 Aug →
nuke13–6-0.0428%12 Aug →
vertigo2–9-0.1338%12 Aug →
shelter8–130.1429%10 Aug →
office3–13-0.0221%10 Aug →
anubis7–130.0820%10 Aug →
inferno11–130.0523%10 Aug →
shelter13–20.0937%9 Aug →
dust215–150.0924%8 Aug →
mirage3–13-0.0125%6 Aug →
nuke13–6-0.0222%6 Aug →
nuke15–150.0332%4 Aug →
ancient13–160.0627%4 Aug →
anubis5–13-0.0024%20 Jul →
cache3–13-0.0226%16 Jul →
cache13–90.0215%12 Jul →
inferno13–60.0321%12 Jul →
mirage11–130.0233%11 Jul →
cache13–9-0.0130%11 Jul →
ancient13–70.0625%11 Jul →
fachwerk11–130.1523%11 Jul →
shelter7–130.0035%11 Jul →
nuke13–90.0722%9 Jul →
cache13–2-0.0124%9 Jul →
dust29–13-0.0327%9 Jul →
vertigo13–110.0420%8 Jul →
train13–30.0424%8 Jul →
anubis13–4-0.0019%8 Jul →
nuke5–130.0123%8 Jul →
overpass13–50.0432%7 Jul →
inferno13–60.1419%7 Jul →
italy13–50.1729%7 Jul →
ancient11–130.0626%3 Jul →

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 →

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