stargaze — CS2 Stats

76561197963418070[U:1:3152342]1 game ban

659Tracked matches54%Win rate2020Tracked since
2,690Hours in CS54Hrs last 2 wks
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating17,957Purple band · top ~16.6% of ranked players (population est.)
CSDB Leaderboard#5906 of 10628 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate51.8%52.8%meets
Shot accuracy14.4%13.7%above
Kill/death ratio1.811.08above
Match win rate51.5%49.2%above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGstargazeFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER17,957 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateLWWWLLLWLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.6
Aggression7.7
Utility4.6
Positioning5.7
Opening Duels2.7
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: utility contribution, positioning profile.

Where you differ: lower 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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

Aim8.6
Positioning5.7
Utility4.6
Mechanics7.7
Opening Duels2.7
Win Impact6.2

Composite 6.5/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time534ms−71ms
first ⅓ avg 606ms → last ⅓ avg 534ms
Headshot accuracy21.7%−3.1%
first ⅓ avg 24.8% → last ⅓ avg 21.7%

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

0.18Best rating — anubis 13–3
132Biggest win — mirage
8Longest win streak
95In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 58% over 24infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC28121643%0.02
cacheA24141058%0.03
dust2A2112957%0.02
infernoD103730%0.04
anubisB63350%0.06
ancientB63350%-0.01
train330100%0.06
overpass110100%0.00
nuke110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,193Lifetime kills
1.81K/D · Top 5% of tracked players
2,333Matches
51.5%Match win rate · Top 25% of tracked players
51.8%Headshot % · Top 50% of tracked players
14.4%Shot accuracy · Top 50% of tracked players
9,792MVPs
1,263Hours (in match)
2,130Bombs planted
1,329Bombs defused

Most-used weapons

Lifetime map wins

4,412dust2
4,360inferno
1,150nuke
930train
737vertigo
240office
125cbble
116italy

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

Faceit stats

Combat

105Matches
62%Win rate
1.35Avg K/D
88.6ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22065%1.3818.5
Mirage2065%1.2417.8
Cache1362%1.4621.0
Inferno786%1.5815.3
Ancient450%1.3021.3
Vertigo1100%2.2725.0
Overpass10%1.3822.0
Anubis10%0.7613.0

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.

21.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.6%Spray accuracy
84.7%Counter-strafing
9.6°Preaim
528msReaction time
36.0%T opening success
45.7%CT opening success
0.42Enemies flashed / flash
4.3%Flash assists
6.81HE damage / grenade
15.78Flashes / 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 0.4233 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.038% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0440%28 Aug
inferno10–00.0433%27 Aug
mirage13–30.0920%27 Aug
dust213–50.1317%27 Aug
cache3–13-0.0323%25 Aug
inferno3–13-0.0327%23 Aug
dust22–13-0.0627%23 Aug
cache13–80.0827%23 Aug
inferno6–130.0229%21 Aug
cache13–50.0427%19 Aug
mirage13–10-0.0125%18 Aug
dust216–120.0219%18 Aug
dust213–60.0118%18 Aug
cache13–70.0819%17 Aug
cache13–100.0418%16 Aug
cache16–130.0614%15 Aug
mirage5–13-0.0611%15 Aug
dust28–13-0.0217%15 Aug
train13–30.0210%15 Aug
mirage13–16-0.0129%15 Aug
mirage8–130.0627%14 Aug
anubis7–130.0527%13 Aug
mirage10–130.0416%13 Aug
inferno9–130.0721%11 Aug
cache13–60.1219%11 Aug
cache11–130.0321%11 Aug
mirage15–150.0521%10 Aug
mirage13–20.018%9 Aug
mirage13–100.0019%8 Aug
dust215–150.0120%8 Aug
inferno4–130.0333%7 Aug
mirage13–80.0614%6 Aug
ancient5–13-0.0420%5 Aug
cache13–70.0335%5 Aug
inferno7–130.0239%4 Aug
mirage13–100.1121%3 Aug
cache6–13-0.0320%2 Aug
mirage5–13-0.0120%2 Aug
dust213–8-0.0220%2 Aug
mirage13–70.1027%2 Aug
cache13–70.0620%2 Aug
cache13–60.0624%2 Aug
mirage9–13-0.0127%1 Aug
inferno10–130.0821%1 Aug
dust213–30.0811%1 Aug
mirage22–200.0020%30 Jul
cache13–80.0422%29 Jul
anubis5–13-0.0020%28 Jul
cache11–130.1020%26 Jul
anubis13–30.1826%25 Jul
dust213–80.0729%24 Jul
cache9–130.0221%22 Jul
cache10–13-0.0222%22 Jul
ancient0–7-0.0610%21 Jul
dust23–13-0.0219%21 Jul
ancient13–110.0424%18 Jul
dust213–60.0515%17 Jul
inferno2–13-0.0217%16 Jul
ancient7–13-0.0130%16 Jul
mirage6–13-0.0117%16 Jul
mirage8–13-0.0127%15 Jul
cache13–9-0.0114%14 Jul
dust213–6-0.0115%14 Jul
cache13–110.0112%13 Jul
anubis5–13-0.0123%13 Jul
mirage13–110.0811%13 Jul
dust213–110.0222%13 Jul
mirage4–13-0.0731%13 Jul
ancient13–110.0215%10 Jul
dust25–13-0.0210%10 Jul
dust22–13-0.0840%9 Jul
dust211–130.0826%9 Jul
mirage8–130.0126%9 Jul
cache13–90.0429%9 Jul
mirage4–13-0.067%9 Jul
cache13–60.0015%8 Jul
dust213–100.0854%7 Jul
cache10–13-0.0327%7 Jul
cache9–130.0640%7 Jul
cache12–120.0415%6 Jul
dust214–160.0437%6 Jul
overpass13–100.0013%5 Jul
mirage7–130.0324%5 Jul
inferno13–70.0727%5 Jul
dust213–90.0118%3 Jul
dust213–70.0325%3 Jul
cache11–13-0.0322%1 Jul
inferno9–10.1548%30 Jun
anubis13–60.1119%29 Jun
mirage1–13-0.055%29 Jun
dust212–12-0.0134%29 Jun
nuke13–110.0116%29 Jun
ancient13–11-0.0215%28 Jun
mirage13–70.1710%28 Jun
mirage13–30.0330%28 Jun
anubis13–110.0427%28 Jun
train13–30.1639%23 Jun
train13–7-0.0026%23 Jun
mirage13–80.0317%23 Jun
mirage5–130.0632%22 Jun

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 →