StarMan

StarMan — CS2 Stats

DJ76561198417121016[U:1:456855288]Steam profile ↗✓ No bans

1,375Tracked matches46%Win rate2020Tracked since
1,978Hours in CS8Hrs last 2 wks
CSDB Rating4.2 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 59 days played since 31 May 2025. Come back after the next session and the change shows above.

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Rating over time

9,118Peak Premier in tracked matches
59Days played since 2025-05-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2
Win rate50%
K/D0.93
Headshot %44%

Measured 18 Sep 202623 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,195), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.4%42.7%43.8%1.4% short
Shot accuracy11.4%11.3%12.0%0.6% short
Kill/death ratio0.940.991.020.08 short
Match win rate46.5%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStarManFACEITLevel 4STANDINGTop 81.0% 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

Aim38
Positioning39
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY37549Last 10037%Win rateLWLWLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.6pp headshot accuracy · −81ms 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 683ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim3.8
Utility5.6
Positioning3.9
Opening Duels0.6
Clutch3.6

Effective flashes

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

Twistzz

Plays most like Twistzz 66% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 36% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim3.8
Positioning3.9
Utility5.6
Mechanics6.8
Opening Duels0.8
Win Impact3.8

Composite 4.2/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time677ms+39ms
first ⅓ avg 639ms → last ⅓ avg 677ms
Headshot accuracy17.6%+2.8%
first ⅓ avg 14.8% → last ⅓ avg 17.6%

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

0.08Best match rating · 13–10 · anubis, 13 Jul
40%Best headshot accuracy · 8–13 · mirage, 1 Aug
406msFastest reaction time · 3–13 · ancient, 17 Jun
13–0Biggest win · mirage, 2 Aug

Across the last 100 tracked matches.

Highlights

3Longest win streak
44In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC45172838%-0.02
dust2D1861233%-0.01
cacheA95456%-0.02
infernoD61517%-0.04
anubisA53260%-0.01
ancient4040%-0.02
overpass42250%0.00
vertigo41325%-0.03
nuke31233%-0.03
palacio1010%-0.06
office110100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,099Lifetime kills
0.94K/D
2,707Matches
46.5%Match win rate · Top 50% of Level 4 players
42.4%Headshot %
11.4%Shot accuracy · Top 50% of Level 4 players
5,663MVPs
1,160Hours (in match)
3,150Bombs planted
620Bombs defused

Most-used weapons

AK-4715,369
MP92,423
UMP-452,034
P2501,468
MAC-101,302
AWP973

Lifetime map wins

3,324dust2
1,454nuke
1,431vertigo
1,102inferno
494cbble
317train
73office
42lake

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

Faceit stats

Combat

66Matches
47%Win rate
0.82Avg K/D
66.5ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
32%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2065%0.8914.8
Dust21650%0.8512.9
Anubis743%0.8814.1
Cache650%0.7814.7
Nuke520%0.8215.2
Ancient520%0.6511.2
Inferno333%0.6110.0

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.

17.8%Headshot accuracy
27.5%Accuracy (enemy spotted)
27.9%Spray accuracy
80.5%Counter-strafing
11.4°Preaim
673msReaction time
14.6%T opening success
36.3%CT opening success
0.75Enemies flashed / flash
2.6%Flash assists
6.60HE damage / grenade
12.81Flashes / 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 14.5791% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–130.0618%11 Sept
nuke13–100.0322%9 Sept
ancient6–13-0.0028%7 Sept
mirage13–1-0.0015%31 Aug
inferno10–13-0.0726%30 Aug
mirage16–12-0.0311%18 Aug
cache16–12-0.0213%11 Aug
mirage13–110.0619%11 Aug
nuke6–13-0.0515%7 Aug
mirage8–13-0.0615%2 Aug
mirage13–00.0213%2 Aug
mirage8–130.0340%1 Aug
cache13–70.0220%27 Jul
mirage13–90.0015%12 Jul
cache12–12-0.0518%12 Jul
cache10–13-0.0526%30 May
cache13–110.0213%17 May
cache13–90.0320%5 May
cache6–13-0.029%4 May
cache13–5-0.0715%4 May
cache3–13-0.0417%4 May
mirage12–12-0.0425%6 Apr
dust25–13-0.0525%22 Mar
mirage1–7-0.0720%22 Mar
mirage13–9-0.0515%6 Mar
dust23–130.0617%9 Feb
dust28–13-0.0513%6 Feb
mirage3–13-0.0811%6 Feb
mirage4–13-0.099%2 Feb
dust213–9-0.0127%27 Jan
inferno7–13-0.088%27 Dec
mirage3–9-0.0517%27 Dec
mirage4–13-0.098%7 Dec
dust210–13-0.054%7 Dec
mirage2–13-0.0617%5 Dec
mirage5–130.0316%3 Dec
mirage12–120.0112%10 Nov
mirage10–13-0.0321%9 Nov
mirage10–13-0.0210%2 Nov
mirage13–50.029%17 Oct
overpass13–6-0.0120%9 Oct
palacio3–13-0.0616%3 Oct
mirage6–13-0.0511%23 Sept
dust210–13-0.0816%18 Sept
overpass13–20.0713%18 Sept
vertigo12–12-0.0411%17 Sept
mirage12–12-0.0714%17 Sept
dust213–7-0.0616%17 Sept
mirage9–130.022%16 Sept
mirage13–10-0.018%16 Sept
dust212–12-0.0111%12 Sept
mirage12–12-0.0323%12 Sept
vertigo11–130.0010%9 Sept
mirage13–8-0.0018%9 Sept
dust213–90.0018%9 Sept
inferno7–13-0.049%8 Sept
dust212–12-0.0211%8 Sept
mirage13–60.056%8 Sept
mirage13–4-0.026%8 Sept
mirage5–13-0.0412%4 Sept
dust26–130.0325%4 Sept
vertigo13–10-0.066%28 Aug
mirage13–4-0.0213%26 Aug
mirage13–3-0.0112%26 Aug
overpass12–16-0.0410%26 Aug
mirage7–13-0.0320%24 Aug
mirage13–30.047%24 Aug
overpass10–130.0016%23 Aug
inferno13–30.0436%23 Aug
mirage7–13-0.0620%22 Aug
anubis5–13-0.0511%22 Aug
anubis13–5-0.0115%22 Aug
dust28–13-0.087%4 Aug
mirage13–10-0.0514%4 Aug
mirage10–13-0.0411%3 Aug
mirage12–160.0117%3 Aug
mirage13–10.0217%20 Jul
inferno10–13-0.0311%13 Jul
dust213–8-0.0112%13 Jul
anubis13–100.086%13 Jul
mirage10–130.0310%12 Jul
inferno10–13-0.0316%26 Jun
mirage5–13-0.045%17 Jun
ancient3–13-0.0412%17 Jun
vertigo9–13-0.0211%17 Jun
office13–6-0.0023%15 Jun
mirage11–13-0.0116%14 Jun
ancient11–13-0.0214%14 Jun
dust213–3-0.0216%13 Jun
mirage10–130.0218%13 Jun
ancient2–13-0.0410%13 Jun
anubis13–11-0.079%13 Jun
mirage5–13-0.0414%13 Jun
dust213–110.0415%11 Jun
mirage13–100.0216%11 Jun
mirage4–13-0.0117%6 Jun
anubis7–13-0.0323%6 Jun
dust28–130.0617%6 Jun
nuke12–12-0.0613%31 May
dust211–13-0.0020%31 May

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 →