Ark Ranger Black

Ark Ranger Black — CS2 Stats

AU76561198453449602[U:1:493183874]Steam profile ↗✓ No bans

818Tracked matches78%Win rate2020Tracked since
582Hours in CS
CSDB Rating6.6 SolidOpening Duellist
CSDB Leaderboard#9328 of 261569 tracked
FaceitLevel 7 · 1,415 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,415 → 1,415
+1Tracked matches · now 818
−3.7ppWin rate · 81.5% → 77.8%

Rating over time

Premier CS Rating: 26,605 -1,979 3 Jun – 23 Sept · 13 days played
24,72929,376peak 29,3763 Jun23 Sept
Faceit ELO: 1,415 +0 19 Sept – 23 Sept · 2 observations
1,4151,415peak 1,41519 Sept23 Sept
29,376Peak Premier in tracked matches
1,415Highest Faceit ELO seen on CSDB
36Days played since 2026-05-22

Faceit ELO

  • At peak — 1,415
  • Next: Level 8 at 1,531 — 116 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-19
  • Level 6 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 Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate51.6%45.7%46.8%above
Shot accuracy5.5%12.7%13.0%7.5% short
Kill/death ratio1.111.051.06above
Match win rate49.3%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArk Ranger BlackFACEITLevel 7 · 1,415 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,415csdb.gg/stats

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Performance scores

Aim87
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY64–32–4Last 10064%Win rateLTWWWWLWTW

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · +4.6pp headshot accuracy · −45ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 475ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 488ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 25%
  • Avg reaction 510ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+0.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.7
Utility5.9
Positioning6.3
Opening Duels7.2
Clutch6.2

Sharp aimer

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

device

Plays most like device 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning6.3
Utility5.9
Mechanics6.5
Opening Duels6.3
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.06−0.02
first ⅓ avg 0.08 → last ⅓ avg 0.06
Reaction time512ms+40ms
first ⅓ avg 472ms → last ⅓ avg 512ms
Headshot accuracy26.7%+8.7%
first ⅓ avg 18.1% → last ⅓ avg 26.7%

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

0.24Best match rating · 13–3 · anubis, 25 Jul →
100%Best headshot accuracy · 0–13 · dust2, 12 Jul →
328msFastest reaction time · 1–13 · dust2, 28 Sept →
13–0Biggest win · inferno, 25 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 82% over 11dust2Weakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%0.03
mirageA1911–858%0.06
infernoA1810–856%0.06
ancientA117–464%0.04
anubisS119–282%0.12
cacheS97–278%0.11
train—43–175%0.09
overpass—32–167%0.12
nuke—32–167%0.14
vertigo—22–0100%-0.02
fachwerk—11–0100%0.21

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,552Lifetime kills
1.11K/D · Top 50% of Level 7 players
1,556Matches
49.3%Match win rate · Top 25% of Level 7 players
51.6%Headshot % · Top 25% of Level 7 players
5.5%Shot accuracy
4,367MVPs
582Hours (in match)
804Bombs planted
396Bombs defused

Most-used weapons

Lifetime map wins

2,728dust2
1,792inferno
959nuke
671vertigo
481train
153office
46cbble
35italy

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

Faceit stats

Combat

67Matches
63%Win rate
1.25Avg K/D
92.9ADR
45%Headshot %

Clutches & streaks

51%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2370%1.5620.3
Dust21464%1.2421.0
Inferno1145%1.1518.3
Ancient978%1.0118.1
Anubis367%0.8616.3
Overpass1100%1.0715.0
Cache10%0.7613.0
Train1100%1.5021.0

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.

25.0%Headshot accuracy
38.3%Accuracy (enemy spotted)
38.5%Spray accuracy
79.3%Counter-strafing
9.0°Preaim
523msReaction time
46.8%T opening success
63.6%CT opening success
0.56Enemies flashed / flash
5.2%Flash assists
13.15HE damage / grenade
6.56Flashes / match

Recent matches

MapScoreRatingHS%Date
dust21–13-0.1220%28 Sept →
dust212–120.0829%16 Sept →
overpass13–30.1724%25 Aug →
inferno13–00.0038%25 Aug →
dust213–80.0327%25 Aug →
train13–110.0237%25 Aug →
cache8–130.1327%25 Aug →
inferno13–50.0225%24 Aug →
dust215–15-0.0129%13 Aug →
mirage6–10.0316%13 Aug →
dust212–120.0917%8 Aug →
mirage10–130.1230%8 Aug →
vertigo13–60.0433%8 Aug →
mirage13–40.0816%29 Jul →
ancient13–80.0223%25 Jul →
cache11–130.1222%25 Jul →
inferno13–30.0714%25 Jul →
anubis13–30.2427%25 Jul →
dust213–70.0722%24 Jul →
anubis13–00.1124%22 Jul →
train13–100.1220%22 Jul →
ancient4–13-0.0018%22 Jul →
dust210–130.1330%21 Jul →
fachwerk13–40.2129%21 Jul →
mirage13–0-0.0140%19 Jul →
cache16–140.0518%17 Jul →
mirage13–80.0831%17 Jul →
inferno13–100.0824%17 Jul →
ancient13–00.1210%17 Jul →
mirage13–40.0223%15 Jul →
dust213–60.0720%12 Jul →
dust20–13-0.06100%12 Jul →
dust22–10-0.0719%12 Jul →
mirage10–130.0117%11 Jul →
inferno6–13-0.0024%11 Jul →
mirage13–100.0219%11 Jul →
inferno5–130.0524%11 Jul →
cache16–140.0920%10 Jul →
nuke13–50.1228%10 Jul →
ancient4–13-0.0415%10 Jul →
dust213–110.1322%10 Jul →
mirage13–60.0516%10 Jul →
inferno13–60.055%10 Jul →
inferno7–13-0.0125%10 Jul →
inferno10–130.1024%10 Jul →
ancient11–130.0617%10 Jul →
ancient13–90.0426%9 Jul →
cache13–60.0620%9 Jul →
dust213–30.1123%9 Jul →
mirage13–70.1016%9 Jul →
train9–130.1826%8 Jul →
ancient13–90.0521%2 Jul →
mirage13–80.1026%1 Jul →
cache13–70.0720%1 Jul →
inferno13–30.0127%1 Jul →
dust213–30.1220%27 Jun →
inferno15–150.0020%25 Jun →
ancient13–5-0.037%25 Jun →
inferno13–30.1322%25 Jun →
dust213–10-0.0119%25 Jun →
mirage11–130.0016%24 Jun →
dust213–1-0.0311%24 Jun →
inferno8–130.1618%20 Jun →
inferno13–30.0213%18 Jun →
overpass13–60.1518%18 Jun →
cache13–90.1827%11 Jun →
ancient13–50.0525%11 Jun →
inferno16–140.1221%10 Jun →
mirage11–130.0823%10 Jun →
cache13–90.0416%10 Jun →
anubis13–30.1317%10 Jun →
mirage13–90.1019%10 Jun →
mirage11–130.1014%10 Jun →
ancient7–130.0714%4 Jun →
anubis6–130.0119%4 Jun →
vertigo13–3-0.0724%4 Jun →
inferno7–130.0724%3 Jun →
mirage13–50.1832%3 Jun →
dust20–13-0.050%3 Jun →
mirage5–130.0215%3 Jun →
nuke7–130.1619%3 Jun →
mirage11–130.0612%3 Jun →
inferno7–130.0219%3 Jun →
anubis13–50.1520%2 Jun →
dust211–130.0218%31 May →
ancient13–80.1021%31 May →
train13–100.0318%31 May →
dust213–90.1519%31 May →
anubis9–130.1218%31 May →
anubis13–100.0923%31 May →
anubis13–70.1219%28 May →
dust213–8-0.0124%28 May →
mirage9–130.0020%27 May →
anubis13–70.1112%27 May →
anubis13–50.067%23 May →
nuke13–60.1322%23 May →
cache13–20.2221%23 May →
overpass4–130.0416%22 May →
inferno13–60.1822%22 May →
anubis13–10.188%22 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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