think like a brilliant — CS2 Stats

76561198254285639[U:1:294019911]

351Tracked matches40%Win rate2021Tracked since
CSDB Rating3.8 Learning
Premier CS Rating7,103Light Blue band · top ~68.7% of ranked players (population est.)
CSDB Leaderboard#15732 of 20788 tracked
WingmanGold Nova III
Ladder ranks via Leetify

Share this profile

CSDB.GGthink like a brilliantPREMIER7,103 · Light Blue bandcsdb.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

Aim56
Positioning46
Utility14

0–100 skill scores via Leetify.

Recent form

COLD384814Last 10038%Win rateWLLWWLLLLT

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.6
Aggression4.5
Utility1.4
Positioning4.6
Opening Duels0.5

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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.

Reaction time. 691ms 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

Aim5.6
Positioning4.6
Utility1.4
Mechanics7.8
Opening Duels0.9
Win Impact1.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time690ms−17ms
first ⅓ avg 707ms → last ⅓ avg 690ms
Headshot accuracy14.1%+0.4%
first ⅓ avg 13.7% → last ⅓ avg 14.1%

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

0.16Best rating — office 13–3
132Biggest win — anubis
3Longest win streak
15In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 59% over 17vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC1871139%0.01
nukeA1710759%-0.01
infernoD113827%-0.04
officeC94544%-0.01
ancientC73443%0.01
anubisD72529%0.01
vertigoD51420%-0.09
shelterC52340%-0.01
fachwerk4040%-0.04
dust231233%-0.00
train2020%-0.08
boulder220100%0.03
italy21150%0.03
overpass21150%0.03
poseidon2020%-0.08
mirage1010%0.01
debris1010%0.10
sanctum1010%-0.08
warden110100%0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.2%Spray accuracy
85.1%Counter-strafing
12.6°Preaim
691msReaction time
27.2%T opening success
37.1%CT opening success
0.12Enemies flashed / flash
2.6%Flash assists
7.78HE damage / grenade
1.30Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5984° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1277% — below the 15% mark we flag

    Aim Training
  3. 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 0.1178 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0211%24 Aug
nuke2–13-0.080%24 Aug
train2–13-0.0918%24 Aug
office10–2-0.0918%23 Aug
nuke9–60.0521%23 Aug
cache8–13-0.0410%21 Aug
ancient10–130.0418%20 Aug
cache6–13-0.0221%17 Aug
ancient10–13-0.006%17 Aug
cache12–120.0211%16 Aug
cache10–13-0.0821%16 Aug
nuke13–9-0.0324%16 Aug
dust211–13-0.0116%16 Aug
cache13–30.1218%16 Aug
nuke8–13-0.054%15 Aug
dust27–130.0113%15 Aug
boulder13–100.0319%12 Aug
train0–10-0.065%12 Aug
dust213–6-0.006%12 Aug
nuke13–100.0213%8 Aug
cache10–130.0116%8 Aug
anubis12–12-0.0412%8 Aug
vertigo13–10-0.0618%8 Aug
inferno2–13-0.0119%8 Aug
fachwerk7–130.039%6 Aug
cache13–40.115%5 Aug
inferno12–120.0018%5 Aug
cache12–12-0.0620%3 Aug
office5–13-0.0318%3 Aug
cache12–120.0612%2 Aug
cache13–80.1319%2 Aug
ancient13–80.1518%2 Aug
ancient3–13-0.0511%2 Aug
cache11–13-0.0619%2 Aug
office12–12-0.0211%2 Aug
anubis13–9-0.0411%2 Aug
ancient13–10-0.0412%2 Aug
vertigo10–13-0.042%2 Aug
fachwerk6–13-0.1211%31 Jul
shelter13–7-0.0119%31 Jul
office12–120.0223%31 Jul
nuke2–13-0.0715%30 Jul
nuke2–130.0523%29 Jul
office8–13-0.0513%29 Jul
office13–10-0.0111%23 Jul
inferno6–9-0.207%23 Jul
anubis9–13-0.0512%23 Jul
cache13–50.0210%23 Jul
fachwerk10–13-0.0121%23 Jul
anubis13–20.1515%23 Jul
shelter9–13-0.0417%23 Jul
italy12–12-0.0012%22 Jul
nuke13–90.0316%22 Jul
shelter13–10-0.0614%22 Jul
cache7–13-0.0215%16 Jul
nuke13–10-0.0317%14 Jul
cache13–50.0410%14 Jul
nuke11–13-0.0113%14 Jul
mirage8–130.0116%14 Jul
cache13–4-0.0422%13 Jul
boulder13–60.0217%13 Jul
anubis10–13-0.0214%13 Jul
italy13–20.068%11 Jul
nuke13–80.0223%11 Jul
office8–13-0.1013%10 Jul
overpass13–90.0311%10 Jul
shelter6–130.1014%9 Jul
fachwerk5–13-0.0611%9 Jul
vertigo3–9-0.1614%9 Jul
inferno9–50.0319%9 Jul
nuke13–8-0.0311%9 Jul
overpass8–80.024%9 Jul
debris5–60.1014%9 Jul
inferno3–9-0.1415%9 Jul
shelter6–13-0.0420%9 Jul
office13–30.1625%9 Jul
sanctum4–9-0.086%8 Jul
poseidon3–9-0.1414%8 Jul
vertigo4–9-0.1528%7 Jul
inferno8–8-0.0313%7 Jul
inferno8–8-0.0715%6 Jul
nuke7–9-0.0715%6 Jul
vertigo12–12-0.0215%6 Jul
nuke13–50.006%6 Jul
inferno8–80.019%6 Jul
inferno9–60.0510%6 Jul
ancient10–13-0.0322%6 Jul
anubis10–130.0210%6 Jul
nuke7–130.0120%5 Jul
nuke13–9-0.0012%4 Jul
warden13–20.0513%4 Jul
cache13–110.029%4 Jul
cache4–130.0314%4 Jul
office13–70.0013%2 Jul
nuke13–30.0713%2 Jul
anubis7–130.0410%2 Jul
inferno1–13-0.0426%2 Jul
inferno9–6-0.0410%1 Jul
poseidon8–8-0.0210%1 Jul
cache2–13-0.068%1 Jul

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 →