Arch — CS2 Stats

76561197990171747[U:1:29906019]

2,180Tracked matches40%Win rate2020Tracked since
5,718Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating18,981Purple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#15710 of 34110 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate58.3%44.1%47.2%above
Shot accuracy14.3%11.4%12.7%above
Kill/death ratio0.931.031.090.15 short
Match win rate45.1%45.2%46.6%1.5% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGArchPREMIER18,981 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning56
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY41572Last 10041%Win rateWWLWLWLWLL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression8.4
Utility3.3
Positioning5.6
Opening Duels4.2
Clutch2.8

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.4
Positioning5.6
Utility3.3
Mechanics7.1
Opening Duels4.2
Win Impact1.7

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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time585ms+37ms
first ⅓ avg 548ms → last ⅓ avg 585ms
Headshot accuracy22.7%−1.7%
first ⅓ avg 24.4% → last ⅓ avg 22.7%

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.

Highlights

0.08Best rating — mirage 13–3
131Biggest win — inferno
9Longest win streak
W2Current streak
810In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 58% over 12nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B34161847%-0.01
mirageC1981142%-0.02
infernoD1551033%0.00
cacheA127558%-0.02
ancientD93633%0.00
nukeD71614%-0.00
anubis41325%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

185,298Lifetime kills
0.93K/D
6,847Matches
45.1%Match win rate
58.3%Headshot % · Top 10% of Purple band
14.3%Shot accuracy · Top 50% of Purple band
18,683MVPs
5,718Hours (in match)
6,001Bombs planted
1,532Bombs defused

Most-used weapons

AK-4766,860
AWP22,227
SSG 083,977
FAMAS2,412
P2502,271
SG 5531,979

Lifetime map wins

22,860dust2
14,779inferno
6,070nuke
3,022train
1,251vertigo
440cbble
233office
120dust

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

Faceit stats

Combat

799Matches
48%Win rate
1.10Avg K/D
91.7ADR
56%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust25254%1.2119.1
Inferno2133%1.1718.6
Ancient1644%1.5316.6
Nuke1362%1.2418.1
Mirage1331%0.7914.2
Train743%1.4617.4
Overpass30%1.1519.3

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.

22.1%Headshot accuracy
31.1%Accuracy (enemy spotted)
28.4%Spray accuracy
82.1%Counter-strafing
10.1°Preaim
585msReaction time
37.8%T opening success
55.5%CT opening success
0.54Enemies flashed / flash
4.7%Flash assists
7.25HE damage / grenade
4.92Flashes / 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. 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 37.7588% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–12-0.0219%28 Aug
mirage13–50.0219%28 Aug
mirage9–13-0.0712%25 Aug
nuke13–110.0021%25 Aug
ancient11–130.0523%24 Aug
dust216–14-0.0224%20 Aug
inferno6–130.0216%20 Aug
dust213–8-0.0315%20 Aug
dust212–16-0.0123%19 Aug
ancient9–130.0625%19 Aug
dust25–13-0.0215%19 Aug
inferno8–130.0429%18 Aug
inferno5–13-0.0015%17 Aug
dust213–100.0723%17 Aug
mirage13–30.0837%17 Aug
mirage6–13-0.0236%17 Aug
inferno13–50.0322%17 Aug
inferno7–13-0.0119%17 Aug
dust213–5-0.0429%16 Aug
dust21–13-0.0822%16 Aug
ancient13–80.0417%16 Aug
mirage6–13-0.0124%15 Aug
mirage11–13-0.0433%15 Aug
nuke5–130.0132%15 Aug
dust29–13-0.0010%15 Aug
dust211–13-0.0218%15 Aug
inferno5–130.0122%14 Aug
dust211–13-0.0629%14 Aug
dust213–6-0.0217%14 Aug
mirage13–3-0.0217%14 Aug
dust210–130.0124%14 Aug
inferno11–130.0231%14 Aug
inferno13–110.0130%14 Aug
dust28–130.0320%14 Aug
mirage9–13-0.0717%13 Aug
mirage16–14-0.0329%13 Aug
dust28–13-0.0915%13 Aug
nuke10–130.0222%13 Aug
dust24–13-0.0119%13 Aug
anubis9–130.0224%13 Aug
dust20–13-0.089%13 Aug
dust27–3-0.0745%12 Aug
nuke10–130.0338%11 Aug
anubis9–130.0315%11 Aug
cache11–13-0.0235%10 Aug
mirage5–13-0.0228%10 Aug
nuke10–13-0.0431%10 Aug
inferno13–9-0.0134%10 Aug
cache10–13-0.0629%10 Aug
mirage7–13-0.0126%7 Aug
dust213–80.0324%7 Aug
mirage13–10-0.0522%7 Aug
dust213–11-0.0030%7 Aug
cache13–7-0.0518%7 Aug
cache13–50.0416%7 Aug
ancient13–5-0.0233%7 Aug
cache13–9-0.0514%7 Aug
inferno13–1-0.0019%7 Aug
dust28–1-0.0444%7 Aug
dust25–130.0532%6 Aug
dust214–16-0.0118%6 Aug
cache4–13-0.0635%6 Aug
ancient13–9-0.0529%6 Aug
ancient11–13-0.0218%6 Aug
cache13–110.0420%6 Aug
cache13–90.0525%6 Aug
mirage13–10-0.0318%6 Aug
ancient8–13-0.0015%5 Aug
dust213–10.0330%5 Aug
nuke5–13-0.0411%5 Aug
cache4–13-0.0418%5 Aug
mirage13–30.0426%5 Aug
nuke6–13-0.0013%5 Aug
anubis11–13-0.0122%5 Aug
inferno10–13-0.0122%5 Aug
dust215–15-0.0317%5 Aug
mirage13–40.0337%5 Aug
dust215–15-0.0229%5 Aug
dust27–130.0824%4 Aug
cache13–5-0.0521%4 Aug
dust213–5-0.0017%4 Aug
ancient10–13-0.0218%4 Aug
mirage11–13-0.0527%3 Aug
ancient6–13-0.0329%3 Aug
mirage13–16-0.0729%3 Aug
dust213–40.0836%2 Aug
inferno7–13-0.0342%2 Aug
dust213–11-0.0728%2 Aug
dust212–160.0232%2 Aug
inferno6–13-0.0215%1 Aug
mirage8–13-0.0221%1 Aug
inferno6–13-0.0314%31 Jul
dust27–1-0.0023%31 Jul
cache1–13-0.0722%31 Jul
anubis13–100.0222%31 Jul
dust25–130.0427%31 Jul
inferno13–5-0.0038%31 Jul
dust213–50.0423%31 Jul
mirage7–130.0120%30 Jul
cache16–140.0238%30 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 →