Arppa

Arppa — CS2 Stats

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

1,837Tracked matches38%Win rate2020Tracked since
4,206Hours in CS9Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating20,593Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#75301 of 259984 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 20,593 +185 6 Sept – 30 Oct · 13 days played
19,87821,819peak 21,8196 Sept30 Oct
21,938Peak Premier in tracked matches
1,499Highest Faceit ELO seen on CSDB
37Days played since 2026-07-11

Premier CS Rating

  • 1,226 below peak (21,819)
  • +715 over 30 days · improving
  • Next: Red band at 25,000 — 4,407 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate49.6%46.9%49.3%meets
Shot accuracy12.7%13.0%13.4%0.6% short
Kill/death ratio1.291.081.12above
Match win rate71.3%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArppaPREMIER20,593 · Pink 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

Aim78
Positioning71
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLLLTWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −5.1pp headshot accuracy · −95ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 553ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 523ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 571ms

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).

Aim7.8
Utility6.0
Positioning7.1
Opening Duels5.7
Clutch3.0

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 569ms 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

Aim7.8
Positioning7.1
Utility6.0
Mechanics5.3
Opening Duels7.8
Win Impact1.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time567ms−35ms
first ⅓ avg 602ms → last ⅓ avg 567ms
Headshot accuracy25.6%+1.7%
first ⅓ avg 23.9% → last ⅓ avg 25.6%

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

0.22Best 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

4Longest win streak
L3Current streak
2–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA1810–856%0.04
anubisD154–1127%0.03
nukeA148–657%0.02
cacheD123–925%0.03
mirageD71–614%0.00
ancientS75–271%0.04
shelter—42–250%0.10
overpass—31–233%0.06
dust2—30–30%0.04
rush_001—32–167%0.01
boulder—31–233%0.04
train—21–150%0.06
fachwerk—20–20%0.08
office—20–20%0.05
italy—22–0100%0.10
vertigo—21–150%-0.07
debris—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,358Lifetime kills
1.29K/D · Top 25% of Pink band
11,557Matches
71.3%Match win rate · Top 5% of Pink band
49.6%Headshot % · Top 50% of Pink band
12.7%Shot accuracy
14,888MVPs
2,705Hours (in match)
6,738Bombs planted
1,459Bombs defused

Most-used weapons

AK-4745,025
AWP18,964
SG 5532,218
SSG 082,143
P2502,095

Lifetime map wins

7,606inferno
7,409dust2
4,691nuke
3,003train
2,203vertigo
490italy
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
Vertigo450%1.5218.0
Overpass475%1.7418.0

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.

24.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
40.7%Spray accuracy
74.0%Counter-strafing
9.4°Preaim
569msReaction time
62.2%T opening success
59.9%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
6.76HE damage / grenade
12.08Flashes / 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0127%30 Oct →
inferno3–13-0.0717%30 Oct →
cache6–13-0.0421%30 Oct →
cache15–150.0930%30 Oct →
nuke13–11-0.0133%30 Oct →
inferno13–80.0916%26 Oct →
mirage9–13-0.0225%26 Oct →
ancient13–60.1313%26 Oct →
inferno13–8-0.0017%24 Oct →
ancient13–90.0222%24 Oct →
inferno13–30.1126%23 Oct →
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 →

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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