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xproteaser677

xproteaser677 — CS2 Stats

VA76561198147809276[U:1:187543548]Steam profile ↗

2,676Tracked matches52%Win rate2023Tracked since
3,432Hours in CS53Hrs last 2 wks
CSDB Rating6.0 SolidAggressive Rifler
FaceitLevel 9 · 1,545 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate53.7%49.0%52.0%above
Shot accuracy0.0%13.1%13.7%13.7% short
Kill/death ratio1.211.081.08above
Match win rate44.4%46.9%48.8%4.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGxproteaser677FACEITLevel 9 · 1,545 ELOSTANDINGTop 20.7% of rankedcsdb.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

Aim85
Positioning58
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateLWLLWLWWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression8.5
Utility4.1
Positioning5.8
Opening Duels4.2
Clutch3.6

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.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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.

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

Aim8.5
Positioning5.8
Utility4.1
Mechanics6.4
Opening Duels4.2
Win Impact5.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time538ms−19ms
first ⅓ avg 557ms → last ⅓ avg 538ms
Headshot accuracy20.0%+2.1%
first ⅓ avg 17.9% → last ⅓ avg 20.0%

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

0.24Best rating — shelter 4–0
13–1Biggest win — nuke
4Longest win streak
5–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 50% over 12dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
shelterB4420–2445%0.03
cacheC238–1535%-0.01
anubisB126–650%-0.00
italyC83–538%0.02
dust2D62–433%0.00
inferno—30–30%0.02
mirage—10–10%0.04
nuke—11–0100%0.09
train—10–10%-0.05
ancient—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,434Lifetime kills
1.21K/D · Top 25% of Level 9 players
4,036Matches
44.4%Match win rate
53.7%Headshot % · Top 50% of Level 9 players
0.0%Shot accuracy
8,222MVPs
4,848Hours (in match)
3,769Bombs planted
930Bombs defused

Most-used weapons

AK-4752,599
M4A4 / M4A1-S22,204
P2000 / USP-S4,438
AWP3,353
Glock-182,231
MP72,129
MAC-101,932
SSG 081,534
Desert Eagle1,434
MP91,369

Lifetime map wins

8,831dust2
5,297inferno
3,588nuke
1,996vertigo
1,724italy
731train
38office
2ar_baggage

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

Faceit stats

Combat

224Matches
56%Win rate
1.13Avg K/D
80.3ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust27454%1.0615.1
Inferno4963%1.0813.7
Ancient3444%1.1817.1
Anubis1833%0.9612.3
Nuke1573%1.2814.7
Overpass1471%1.4216.4
Mirage1060%1.1818.1
Train4100%1.6416.3

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.

19.3%Headshot accuracy
38.1%Accuracy (enemy spotted)
44.1%Spray accuracy
78.9%Counter-strafing
9.0°Preaim
532msReaction time
44.1%T opening success
49.2%CT opening success
0.49Enemies flashed / flash
8.1%Flash assists
7.34HE damage / grenade
7.46Flashes / 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. 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 0.4935 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0616%27 Aug →
shelter13–40.0518%27 Aug →
shelter11–130.1222%27 Aug →
mirage10–130.0413%26 Aug →
nuke13–10.098%26 Aug →
shelter9–13-0.0422%24 Aug →
shelter13–60.0125%23 Aug →
italy5–1-0.0625%23 Aug →
dust24–13-0.0223%23 Aug →
cache13–30.0633%23 Aug →
shelter6–13-0.0413%23 Aug →
cache9–13-0.0212%23 Aug →
cache8–130.0622%23 Aug →
cache13–90.0514%23 Aug →
cache13–11-0.0315%22 Aug →
shelter1–13-0.0422%22 Aug →
shelter13–60.0837%22 Aug →
shelter13–80.0910%22 Aug →
shelter13–3-0.0226%22 Aug →
cache7–13-0.0214%22 Aug →
inferno9–130.0211%22 Aug →
shelter13–50.0920%22 Aug →
shelter13–5-0.0315%21 Aug →
shelter7–130.0019%21 Aug →
shelter13–110.0725%21 Aug →
shelter13–7-0.0226%20 Aug →
train6–13-0.0527%20 Aug →
shelter12–120.0715%18 Aug →
anubis9–130.0426%18 Aug →
dust213–10-0.0214%18 Aug →
cache3–130.1120%16 Aug →
cache13–70.0420%16 Aug →
cache5–13-0.0630%16 Aug →
cache13–10-0.0222%15 Aug →
shelter13–7-0.0715%15 Aug →
anubis8–13-0.0521%15 Aug →
shelter12–120.0122%14 Aug →
shelter7–13-0.0220%13 Aug →
anubis2–13-0.0130%12 Aug →
cache13–50.0225%9 Aug →
ancient13–80.0417%9 Aug →
shelter13–70.0722%9 Aug →
anubis3–13-0.0614%9 Aug →
anubis13–20.1319%9 Aug →
shelter13–80.1019%8 Aug →
anubis13–110.0513%8 Aug →
shelter5–30.0714%8 Aug →
cache7–13-0.1024%8 Aug →
cache7–13-0.0326%8 Aug →
inferno8–130.0513%8 Aug →
dust213–80.1313%8 Aug →
anubis4–13-0.0519%4 Aug →
shelter8–130.0523%2 Aug →
cache9–13-0.0121%2 Aug →
shelter4–13-0.0721%2 Aug →
anubis13–10-0.0113%2 Aug →
shelter9–130.1822%2 Aug →
dust29–13-0.0116%2 Aug →
anubis13–60.0523%2 Aug →
shelter13–90.0411%1 Aug →
cache13–10-0.0316%1 Aug →
shelter13–90.1328%1 Aug →
dust211–13-0.0222%1 Aug →
inferno7–13-0.0223%1 Aug →
cache5–13-0.0520%31 Jul →
shelter13–9-0.0017%31 Jul →
shelter2–13-0.069%29 Jul →
shelter12–120.0214%28 Jul →
shelter5–130.0313%27 Jul →
cache9–130.0312%27 Jul →
shelter8–13-0.0313%26 Jul →
shelter12–12-0.0422%26 Jul →
cache10–130.0024%26 Jul →
cache10–130.0411%26 Jul →
anubis13–11-0.0215%26 Jul →
shelter10–130.0325%25 Jul →
shelter9–130.0222%25 Jul →
shelter13–50.0131%25 Jul →
shelter12–120.0515%25 Jul →
shelter12–12-0.0216%25 Jul →
shelter13–80.0415%25 Jul →
cache13–9-0.0415%25 Jul →
italy13–80.0219%24 Jul →
cache11–13-0.0419%24 Jul →
shelter6–13-0.0016%24 Jul →
anubis1–10-0.0833%24 Jul →
anubis13–8-0.0318%22 Jul →
shelter3–13-0.0017%22 Jul →
shelter10–130.0316%22 Jul →
shelter4–00.2427%20 Jul →
shelter9–130.0729%20 Jul →
italy8–13-0.0416%20 Jul →
italy9–13-0.0319%18 Jul →
italy4–130.1314%18 Jul →
shelter13–60.0914%17 Jul →
italy12–120.1016%17 Jul →
italy13–1-0.019%17 Jul →
dust25–13-0.0423%17 Jul →
cache9–13-0.099%16 Jul →
italy7–130.0614%15 Jul →

Match data via Leetify.

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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