Nono

Nono — CS2 Stats

MY76561199867322122[U:1:1907056394]Steam profile ↗✓ No bans

478Tracked matches69%Win rate2025Tracked since
1,070Hours in CS47Hrs last 2 wks
CSDB Rating5.1 Developing
Premier CS Rating13,974Blue band · top ~33.8% of ranked players (population est.)
CSDB Leaderboard#22016 of 33800 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.7%41.7%44.1%2.4% short
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio1.060.971.03above
Match win rate48.4%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGNonoPREMIER13,974 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning59
Utility45

0–100 skill scores via Leetify.

Recent form

HOT54442Last 10054%Win rateWLWWWLWWTW

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

Player DNA

Aim5.1
Aggression8.6
Utility4.5
Positioning5.9
Opening Duels3.2

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

jL

Plays most like jL 85% playstyle similarity

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

Where you differ: lower utility contribution; 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. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning5.9
Utility4.5
Mechanics4.2
Opening Duels3.2
Win Impact10.0

Composite 5.1/10 (Developing), 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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time583ms−62ms
first ⅓ avg 644ms → last ⅓ avg 583ms
Headshot accuracy20.7%−0.5%
first ⅓ avg 21.2% → last ⅓ avg 20.7%

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

0.29Best rating — inferno 10–0
131Biggest win — train
5Longest win streak
127In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 80% over 5infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS1611569%0.01
nukeC167944%0.01
dust2C146843%-0.01
ancientB136746%-0.01
infernoD103730%0.02
trainS86275%0.03
anubisA74357%-0.00
cacheS64267%-0.00
officeS54180%0.04
overpass21150%0.02
vertigo21150%-0.02
boulder110100%0.02

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

22,533Lifetime kills
1.06K/D · Top 50% of Blue band
1,292Matches
48.4%Match win rate · Top 25% of Blue band
41.7%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
3,177MVPs
516Hours (in match)
1,986Bombs planted
273Bombs defused

Most-used weapons

Lifetime map wins

3,422dust2
1,748inferno
1,348nuke
603train
415vertigo
200office
3italy

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

Skill profile

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

20.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
33.4%Spray accuracy
68.8%Counter-strafing
12.8°Preaim
591msReaction time
43.9%T opening success
41.9%CT opening success
0.46Enemies flashed / flash
6.1%Flash assists
4.99HE damage / grenade
12.73Flashes / 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 12.8359° — above the 12° mark we flag

    Aim Training
  2. 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 0.4628 — below the 0.5 mark we flag

    Grenade Lineups
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
office13–70.0419%28 Aug
mirage5–13-0.0721%28 Aug
ancient13–7-0.0220%28 Aug
mirage13–60.0626%28 Aug
nuke13–30.0423%28 Aug
inferno1–13-0.0810%26 Aug
cache13–50.0112%26 Aug
dust213–100.0318%25 Aug
mirage12–120.0213%25 Aug
anubis13–110.0714%25 Aug
mirage13–6-0.0421%25 Aug
nuke11–130.0411%24 Aug
mirage13–110.1523%24 Aug
inferno13–60.0923%24 Aug
anubis10–13-0.0412%24 Aug
inferno2–13-0.0315%24 Aug
office13–20.1220%23 Aug
overpass13–9-0.0014%23 Aug
boulder13–30.0221%23 Aug
nuke3–130.040%23 Aug
inferno10–00.2921%23 Aug
ancient13–80.0819%23 Aug
dust213–20.0525%23 Aug
anubis13–60.0722%23 Aug
nuke13–50.0737%23 Aug
ancient13–160.0526%23 Aug
cache12–16-0.0244%22 Aug
mirage13–70.0135%22 Aug
ancient13–7-0.0726%22 Aug
dust25–13-0.0125%22 Aug
mirage13–5-0.0814%22 Aug
dust210–130.0629%22 Aug
dust213–70.0526%20 Aug
mirage4–130.0211%20 Aug
mirage9–13-0.0229%20 Aug
nuke11–130.0525%17 Aug
dust212–120.0216%17 Aug
train8–20.0415%17 Aug
mirage13–40.038%17 Aug
inferno13–8-0.0122%17 Aug
mirage13–7-0.0119%17 Aug
nuke5–13-0.036%17 Aug
inferno10–13-0.0719%17 Aug
ancient13–80.0519%17 Aug
dust211–13-0.0819%16 Aug
nuke13–10-0.0516%16 Aug
dust213–9-0.0114%16 Aug
train13–110.0619%16 Aug
train13–5-0.0119%16 Aug
train13–90.0440%12 Aug
train7–130.0331%12 Aug
dust27–13-0.0331%12 Aug
train13–50.0039%12 Aug
train10–13-0.0124%12 Aug
dust27–13-0.070%8 Aug
office13–11-0.0025%8 Aug
anubis1–13-0.1013%8 Aug
mirage4–13-0.050%8 Aug
ancient13–11-0.0620%8 Aug
inferno8–13-0.0343%8 Aug
nuke13–80.0123%8 Aug
ancient12–16-0.0617%8 Aug
cache13–11-0.0312%8 Aug
nuke5–13-0.0216%7 Aug
dust210–13-0.0526%7 Aug
cache13–90.0623%7 Aug
office13–40.0750%6 Aug
train13–10.0635%6 Aug
overpass10–130.0410%6 Aug
nuke13–50.0027%6 Aug
dust25–13-0.0526%6 Aug
nuke13–80.0431%6 Aug
ancient6–130.0326%5 Aug
ancient7–130.0341%5 Aug
inferno10–130.0426%5 Aug
vertigo13–5-0.0323%4 Aug
mirage13–6-0.0020%4 Aug
dust213–11-0.0713%1 Aug
vertigo11–13-0.0213%1 Aug
nuke14–16-0.0113%1 Aug
mirage16–14-0.046%1 Aug
nuke13–11-0.0020%1 Aug
ancient10–13-0.0514%1 Aug
ancient5–13-0.0240%1 Aug
nuke4–13-0.0240%1 Aug
inferno0–9-0.040%1 Aug
office6–13-0.0440%31 Jul
anubis11–13-0.0212%31 Jul
cache9–13-0.0221%31 Jul
mirage13–70.1036%31 Jul
inferno13–16-0.0221%31 Jul
ancient8–13-0.019%31 Jul
nuke11–130.0327%29 Jul
anubis1–1-0.020%27 Jul
cache13–11-0.046%27 Jul
nuke4–13-0.0126%25 Jul
anubis13–50.0313%25 Jul
dust213–70.0126%25 Jul
mirage13–70.0424%25 Jul
ancient13–11-0.0317%25 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 →