nagy

nagy — CS2 Stats

CA76561199065381870[U:1:1105116142]Steam profile ↗✓ No bans

972Tracked matches59%Win rate2020Tracked since
817Hours in CS1Hrs last 2 wks
CSDB Rating5.8 SolidPassive Rifler
Premier CS Rating18,119Purple band · top ~16% of ranked players (population est.)
CSDB Leaderboard#4464 of 8051 tracked
Ladder ranks via Leetify

Rating over time

18,119Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • At peak — 18,119
  • Next: Pink band at 20,000 1,881 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate50.7%48.1%above
Shot accuracy2.2%12.9%10.7% short
Kill/death ratio1.251.08above
Match win rate51.1%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGnagyPREMIER18,119 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning53
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY444511Last 10044%Win rateLLWLWWTLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.2
Aggression3.4
Utility4.4
Positioning5.3
Opening Duels2.0

Strong CT-side opener

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.2
Positioning5.3
Utility4.4
Mechanics5.3
Opening Duels2.9
Win Impact8.1

Composite 5.8/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time573ms−22ms
first ⅓ avg 595ms → last ⅓ avg 573ms
Headshot accuracy22.1%+0.4%
first ⅓ avg 21.8% → last ⅓ avg 22.1%

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

0.14Best rating — italy 13–1
131Biggest win — office
4Longest win streak
L2Current streak
65In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 57% over 7anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C145936%0.03
infernoB137654%0.01
mirageD124833%0.02
vertigoC125742%0.02
ancientC94544%0.02
anubisD82625%-0.00
officeB84450%0.06
trainA74357%0.02
nukeB63350%0.01
cache43175%0.06
shelter21150%0.06
overpass21150%0.08
boulder1010%0.11
fachwerk1010%-0.04
italy110100%0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,370Lifetime kills
1.25K/D · Top 25% of tracked players
1,125Matches
51.1%Match win rate · Top 25% of tracked players
50.7%Headshot % · Top 50% of tracked players
2.2%Shot accuracy
2,640MVPs
475Hours (in match)
1,105Bombs planted
320Bombs defused

Most-used weapons

Lifetime map wins

2,301dust2
1,629inferno
1,109nuke
1,049office
727vertigo
207train
67italy
1ar_baggage

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.

22.2%Headshot accuracy
34.8%Accuracy (enemy spotted)
33.0%Spray accuracy
73.9%Counter-strafing
9.1°Preaim
564msReaction time
23.0%T opening success
53.2%CT opening success
0.40Enemies flashed / flash
5.6%Flash assists
6.91HE damage / grenade
9.29Flashes / 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. 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 0.3964 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 23.0339% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–130.0132%14 Aug
dust210–130.0719%12 Aug
nuke13–110.1026%12 Aug
train6–130.0528%12 Aug
train13–70.0526%12 Aug
mirage13–70.0728%11 Aug
ancient15–150.0721%11 Aug
dust27–130.0615%11 Aug
inferno13–90.0122%8 Aug
dust213–110.0018%8 Aug
inferno13–20.0723%8 Aug
nuke13–11-0.0220%8 Aug
anubis9–130.0419%8 Aug
inferno13–90.026%7 Aug
dust211–13-0.0230%7 Aug
mirage7–13-0.0326%7 Aug
mirage12–12-0.0025%6 Aug
shelter13–80.1022%6 Aug
inferno4–13-0.0226%6 Aug
office13–10.1314%5 Aug
train13–110.0231%5 Aug
mirage13–60.1319%5 Aug
vertigo10–130.0630%5 Aug
cache4–10.0922%5 Aug
cache2–20.0817%5 Aug
boulder5–130.1119%5 Aug
ancient13–100.0317%4 Aug
anubis7–13-0.0417%3 Aug
vertigo13–90.0725%3 Aug
overpass12–120.0519%3 Aug
train2–13-0.1126%3 Aug
mirage8–130.0722%3 Aug
dust28–130.0821%3 Aug
office11–13-0.0119%3 Aug
mirage1–6-0.080%2 Aug
inferno6–13-0.0425%2 Aug
dust29–130.0414%2 Aug
nuke9–130.1117%2 Aug
nuke8–13-0.0332%2 Aug
mirage6–13-0.0515%2 Aug
anubis10–130.0014%2 Aug
shelter12–120.0214%1 Aug
mirage2–130.0010%1 Aug
mirage5–13-0.0416%1 Aug
vertigo13–4-0.0512%1 Aug
inferno12–12-0.0122%1 Aug
vertigo13–7-0.0221%1 Aug
dust27–130.0717%1 Aug
fachwerk12–12-0.0418%1 Aug
mirage13–80.0532%1 Aug
anubis0–6-0.120%31 Jul
mirage12–12-0.0115%31 Jul
vertigo12–12-0.0616%31 Jul
ancient13–60.0712%31 Jul
dust22–13-0.0322%31 Jul
train13–50.0215%31 Jul
ancient10–130.0112%30 Jul
inferno13–100.0616%30 Jul
dust213–70.0014%30 Jul
dust213–70.0013%30 Jul
vertigo13–30.0624%30 Jul
vertigo12–120.1324%30 Jul
cache13–80.0716%29 Jul
dust213–3-0.0217%29 Jul
inferno13–50.0615%29 Jul
vertigo12–120.0416%29 Jul
vertigo11–13-0.0813%29 Jul
anubis12–120.0116%29 Jul
ancient8–13-0.0317%29 Jul
nuke5–13-0.0718%28 Jul
ancient9–13-0.0310%28 Jul
office13–5-0.0113%28 Jul
dust211–13-0.0426%28 Jul
mirage13–70.1225%28 Jul
italy13–10.1429%28 Jul
overpass13–80.1227%28 Jul
office13–30.0118%28 Jul
cache10–13-0.0226%28 Jul
anubis13–8-0.0015%27 Jul
nuke13–9-0.0323%27 Jul
dust213–50.0431%27 Jul
anubis2–13-0.0113%27 Jul
inferno8–13-0.1114%27 Jul
office13–100.0920%27 Jul
inferno13–60.0111%26 Jul
office9–130.0521%26 Jul
vertigo8–130.0613%26 Jul
ancient13–80.1030%26 Jul
anubis13–30.0730%25 Jul
inferno3–130.0821%25 Jul
vertigo13–90.0421%25 Jul
office10–130.1237%25 Jul
dust22–60.1239%25 Jul
train13–40.0535%25 Jul
train8–130.0626%25 Jul
ancient13–80.0215%25 Jul
ancient7–13-0.0418%24 Jul
office11–130.1220%24 Jul
inferno13–110.0225%24 Jul
vertigo4–13-0.0219%24 Jul

Match data via Leetify.

Recent teammates

Milestones

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