starkw0w

starkw0w — CS2 Stats

CV76561197971752071[U:1:11486343]Steam profile ↗✓ No bans

382Tracked matches43%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
CSDB Leaderboard#67690 of 225465 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 11 May 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,505 -510 11 May18 Aug · 22 days played
19,38021,015peak 21,01511 May18 Aug
21,344Peak Premier in tracked matches
46Days played since 2025-05-11

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.

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CSDB.GGstarkw0wFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning68
Utility46

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateWWLLLTLLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.2pp 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

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 619ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 609ms

Last 20

  • 5132 · 25% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 631ms

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: Positional PlayerPositioning stands above the rest of this profile (+0.8 against its own average).

Aim7.3
Utility4.6
Positioning6.8
Opening Duels6.1
Clutch6.4

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

m0NESY

Plays most like m0NESY 88% 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

Reaction time. 638ms 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

Aim7.3
Positioning6.8
Utility4.6
Mechanics7.4
Opening Duels6.0
Win Impact2.6

Composite 6.2/10 (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 time643ms+46ms
first ⅓ avg 596ms → last ⅓ avg 643ms
Headshot accuracy21.3%+2.8%
first ⅓ avg 18.5% → last ⅓ avg 21.3%

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

0.13Best match rating · 13–3 · overpass, 6 Jun
50%Best headshot accuracy · 9–0 · dust2, 15 Aug
438msFastest reaction time · 5–13 · inferno, 21 Nov
13–1Biggest win · mirage, 26 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
59In matches decided by ≤2 rounds
14Overtime games

Map breakdown

trainBest map · 75% over 8nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%0.04
nukeD1441029%0.03
infernoC145936%0.02
mirageB126650%0.03
overpassA116555%0.03
anubisB105550%0.03
ancientC83538%0.03
trainS86275%0.05
grail1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

416Matches
54%Win rate
1.29Avg K/D
89.1ADR
43%Headshot %

Clutches & streaks

52%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1638%1.1518.4
Anubis1362%1.2219.0
Nuke850%0.8314.4
Dust2683%1.4119.7
Mirage617%0.9415.7
Ancient5100%1.3519.6
Train475%1.1013.8
Overpass1100%3.4017.0

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.

21.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.4%Spray accuracy
83.2%Counter-strafing
9.6°Preaim
638msReaction time
56.9%T opening success
51.5%CT opening success
0.70Enemies flashed / flash
2.9%Flash assists
11.25HE damage / grenade
19.12Flashes / match

Recommended for you

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–100.0112%5 Aug
ancient13–60.0514%5 Aug
dust26–13-0.0230%5 Aug
dust24–130.0722%4 Aug
nuke11–130.0318%4 Aug
mirage15–15-0.0023%4 Aug
anubis1–13-0.0215%21 Nov
inferno5–130.0128%21 Nov
overpass13–10-0.0213%21 Nov
nuke6–13-0.0614%21 Nov
overpass10–13-0.0324%24 Oct
nuke12–120.0220%24 Oct
inferno9–13-0.0315%24 Oct
nuke10–130.039%24 Oct
ancient6–13-0.0821%13 Sept
dust29–130.0323%30 Aug
mirage13–10.1123%26 Aug
dust210–130.0930%23 Aug
nuke11–130.0322%18 Aug
overpass13–50.1114%15 Aug
train13–80.0941%15 Aug
dust29–00.0450%15 Aug
mirage13–100.0218%14 Aug
dust213–110.0933%7 Aug
ancient7–130.0220%6 Aug
inferno6–130.0428%5 Aug
dust211–130.0516%4 Aug
train16–140.0816%4 Aug
nuke13–80.1020%4 Aug
mirage16–130.0629%4 Aug
ancient13–20.0816%31 Jul
dust213–50.0315%31 Jul
ancient13–90.0611%31 Jul
mirage5–130.0524%31 Jul
overpass10–130.0125%27 Jul
nuke13–90.0621%27 Jul
inferno1–13-0.0818%26 Jul
dust26–130.0321%26 Jul
nuke9–130.0717%26 Jul
overpass6–13-0.0224%26 Jul
overpass13–90.0715%22 Jul
dust213–9-0.0318%21 Jul
overpass13–11-0.0316%20 Jul
overpass11–130.0315%19 Jul
mirage13–10.0411%19 Jul
dust214–160.0416%19 Jul
inferno9–130.0721%19 Jul
dust213–50.0927%18 Jul
overpass9–130.0725%16 Jul
overpass13–70.0124%16 Jul
grail4–9-0.0224%8 Jul
nuke10–13-0.0120%21 Jun
anubis10–13-0.0223%12 Jun
train13–50.1128%9 Jun
anubis16–140.0326%9 Jun
train13–100.0217%6 Jun
overpass13–30.1318%6 Jun
dust23–13-0.0118%6 Jun
inferno7–130.0636%5 Jun
nuke4–130.0116%4 Jun
mirage16–130.0721%3 Jun
inferno13–40.0723%2 Jun
train13–40.0927%2 Jun
inferno13–100.0431%1 Jun
dust214–160.0120%31 May
dust213–20.0123%31 May
train13–10-0.0516%31 May
mirage13–80.0524%30 May
inferno13–20.0725%30 May
mirage7–13-0.0216%30 May
anubis13–10-0.0217%30 May
ancient9–130.0525%30 May
nuke15–150.0413%24 May
mirage11–13-0.0617%24 May
inferno8–130.0422%22 May
dust213–110.0818%22 May
anubis13–40.038%20 May
nuke13–90.0018%20 May
ancient15–150.0518%18 May
nuke13–4-0.0416%18 May
anubis8–130.0314%18 May
dust212–160.0724%18 May
inferno15–150.0412%17 May
train15–150.0712%17 May
dust211–130.0020%17 May
anubis13–80.1319%17 May
dust213–100.0421%17 May
anubis10–130.0015%16 May
dust213–160.0115%16 May
dust213–50.0819%14 May
mirage10–130.0524%14 May
anubis12–160.0327%13 May
ancient7–130.0115%13 May
inferno13–80.0111%13 May
inferno9–13-0.0319%13 May
nuke8–130.0920%12 May
train11–130.0020%12 May
mirage9–130.0529%11 May
anubis13–50.0730%11 May
inferno13–40.0211%11 May

Match data via Leetify.

Recent teammates

Milestones

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