NinO

NinO — CS2 Stats

76561198880914095[U:1:920648367]Steam profile ↗✓ No bans

3,641Tracked matches45%Win rate2020Tracked since
CSDB Rating3.6 Learning
Premier CS Rating17,859Purple band · top ~17% of ranked players (population est.)
CSDB Leaderboard#27992 of 57345 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGNinOFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,859 · Purple bandcsdb.gg/stats

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Performance scores

Aim34
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateWLWWWLLLWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim3.4
Aggression5.5
Utility5.0
Positioning5.0
Opening Duels1.1

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

b1t

Plays most like b1t 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 59% 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

Aim3.4
Positioning5.0
Utility5.0
Mechanics2.1
Opening Duels1.6
Win Impact3.3

Composite 3.6/10 (Learning), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time509ms−68ms
first ⅓ avg 577ms → last ⅓ avg 509ms
Headshot accuracy9.9%−4.7%
first ⅓ avg 14.5% → last ⅓ avg 9.9%

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

0.15Best rating — nuke 9–3
132Biggest win — inferno
6Longest win streak
75In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 59% over 39cacheWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA39231659%-0.01
nukeA1911858%0.02
ancientC1771041%-0.02
anubisD123925%-0.03
cacheD101910%-0.03
vertigo21150%-0.05
mirage1010%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

339Matches
50%Win rate
1.09Avg K/D
ADR
27%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke425%0.9821.5
Mirage425%0.9416.0
Anubis333%1.0819.7
Inferno250%1.0419.0
Overpass10%0.5010.0

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.

10.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.1%Spray accuracy
59.2%Counter-strafing
13.3°Preaim
525msReaction time
26.0%T opening success
42.5%CT opening success
0.45Enemies flashed / flash
1.7%Flash assists
11.36HE damage / grenade
7.23Flashes / 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 13.294° — 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 10.6512% — 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 0.4544 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

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

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno13–90.0115%30 Aug
anubis7–13-0.033%30 Aug
anubis13–100.0213%28 Aug
anubis13–6-0.077%28 Aug
inferno13–30.037%28 Aug
cache8–130.0012%28 Aug
anubis6–130.0517%27 Aug
ancient10–13-0.029%26 Aug
nuke13–40.0118%25 Aug
inferno13–8-0.0110%25 Aug
inferno3–13-0.090%23 Aug
nuke8–80.059%23 Aug
inferno9–4-0.0027%23 Aug
inferno9–4-0.0113%23 Aug
nuke6–90.005%23 Aug
ancient7–130.019%22 Aug
cache3–13-0.007%22 Aug
inferno9–70.0510%22 Aug
inferno8–8-0.0117%22 Aug
inferno13–9-0.0115%22 Aug
anubis10–13-0.067%21 Aug
ancient5–13-0.013%21 Aug
ancient13–16-0.064%20 Aug
inferno9–5-0.016%20 Aug
inferno3–9-0.148%20 Aug
inferno9–50.124%20 Aug
vertigo9–40.0512%20 Aug
inferno9–6-0.036%20 Aug
nuke8–13-0.065%19 Aug
cache13–16-0.0216%19 Aug
nuke9–40.089%19 Aug
inferno6–9-0.0617%19 Aug
inferno7–9-0.138%19 Aug
cache11–13-0.0415%18 Aug
inferno13–110.0026%18 Aug
nuke13–90.0112%18 Aug
nuke7–90.067%18 Aug
inferno5–9-0.0615%18 Aug
inferno8–8-0.120%18 Aug
ancient5–13-0.0611%17 Aug
ancient13–3-0.087%17 Aug
anubis6–13-0.0918%17 Aug
cache11–13-0.097%16 Aug
inferno9–40.1415%16 Aug
inferno9–60.0620%16 Aug
ancient15–150.0112%15 Aug
inferno9–20.1311%15 Aug
inferno4–9-0.0810%15 Aug
nuke9–6-0.009%15 Aug
inferno13–50.0214%14 Aug
nuke13–5-0.0011%13 Aug
ancient13–6-0.014%13 Aug
inferno13–4-0.014%13 Aug
nuke13–9-0.0221%13 Aug
anubis14–16-0.0420%12 Aug
cache16–13-0.0312%12 Aug
inferno6–9-0.0915%12 Aug
ancient13–110.0623%11 Aug
inferno13–90.0418%11 Aug
inferno9–13-0.0320%8 Aug
anubis13–8-0.0127%7 Aug
ancient9–13-0.078%5 Aug
nuke9–30.1513%5 Aug
vertigo4–9-0.1421%5 Aug
nuke9–70.1211%5 Aug
nuke5–90.078%5 Aug
anubis6–13-0.0217%4 Aug
inferno16–14-0.037%3 Aug
ancient9–13-0.0614%3 Aug
nuke13–7-0.029%3 Aug
inferno7–13-0.0937%1 Aug
nuke8–13-0.0017%1 Aug
nuke6–9-0.1011%1 Aug
inferno13–90.0512%31 Jul
nuke13–60.0511%31 Jul
inferno10–130.028%31 Jul
anubis9–13-0.0811%31 Jul
inferno9–70.048%31 Jul
anubis15–15-0.0213%30 Jul
ancient13–90.0117%30 Jul
inferno13–40.0314%29 Jul
inferno8–80.0015%29 Jul
cache9–13-0.0417%28 Jul
nuke8–13-0.0215%28 Jul
inferno9–130.1218%28 Jul
cache10–130.0011%27 Jul
ancient13–8-0.0123%27 Jul
inferno13–2-0.0116%27 Jul
ancient13–4-0.0210%26 Jul
ancient6–13-0.0315%26 Jul
ancient13–110.018%26 Jul
cache5–13-0.032%26 Jul
inferno6–9-0.0511%25 Jul
anubis9–13-0.0120%25 Jul
inferno8–13-0.0316%25 Jul
mirage8–130.0223%24 Jul
inferno13–30.0013%24 Jul
cache8–13-0.0120%23 Jul
ancient9–130.0220%22 Jul
nuke13–10-0.0118%22 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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