NIVE

NIVE — CS2 Stats

76561199218730483[U:1:1258464755]Steam profile ↗✓ No bans

478Tracked matches61%Win rate2025Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating14,876Blue band · top ~29.1% of ranked players (population est.)
CSDB Leaderboard#13094 of 20190 tracked
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGNIVEPREMIER14,876 · Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLLWWLLWWTW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3
Aggression2.5
Utility3.5
Positioning3.7
Opening Duels0.0
Clutch4.2

Limited utility dependence

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 79% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning3.7
Utility3.5
Mechanics7.4
Opening Duels0.0
Win Impact8.6

Composite 5.4/10 (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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time534ms−69ms
first ⅓ avg 603ms → last ⅓ avg 534ms
Headshot accuracy14.1%+0.6%
first ⅓ avg 13.5% → 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

0.07Best rating — dust2 13–4
132Biggest win — dust2
5Longest win streak
L2Current streak
45In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%-0.02
dust2B26141254%-0.00
ancientA1710759%-0.03
infernoC135838%-0.05
anubisA85363%-0.02
nuke41325%-0.02
cache42250%-0.01
vertigo1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

63Matches
54%Win rate
0.73Avg K/D
62.3ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2250%0.7912.9
Ancient1867%0.7411.2
Dust21050%0.7211.3
Cache540%0.589.2
Anubis30%0.478.7
Inferno367%0.7510.0
Overpass2100%0.6010.0

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.

14.5%Headshot accuracy
41.7%Accuracy (enemy spotted)
44.4%Spray accuracy
83.3%Counter-strafing
10.7°Preaim
533msReaction time
24.2%T opening success
23.8%CT opening success
0.50Enemies flashed / flash
1.1%Flash assists
7.79HE damage / grenade
4.48Flashes / 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. 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 14.51% — below the 15% 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 0.4953 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.1822% — below the 40% mark we flag

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.066%28 Aug
dust26–130.0417%28 Aug
dust213–60.0314%28 Aug
dust213–7-0.046%28 Aug
anubis4–13-0.0416%28 Aug
dust29–13-0.066%27 Aug
mirage13–110.0117%27 Aug
dust213–100.0122%22 Aug
anubis15–15-0.0513%20 Aug
ancient13–100.0015%20 Aug
ancient10–13-0.0218%20 Aug
mirage13–40.046%20 Aug
inferno13–10-0.0713%18 Aug
mirage8–13-0.0315%18 Aug
dust213–70.0114%18 Aug
ancient13–10-0.0511%17 Aug
inferno13–100.0121%17 Aug
dust213–40.0722%17 Aug
dust27–13-0.029%17 Aug
dust213–20.0513%17 Aug
inferno13–160.0321%16 Aug
nuke7–13-0.0319%16 Aug
mirage6–130.0010%16 Aug
mirage13–6-0.0220%16 Aug
anubis13–50.0522%16 Aug
mirage13–10-0.0315%16 Aug
mirage13–2-0.0511%16 Aug
ancient13–90.0410%15 Aug
mirage13–16-0.0613%15 Aug
dust215–15-0.0317%15 Aug
dust213–6-0.006%15 Aug
ancient13–9-0.0814%11 Aug
ancient13–8-0.0714%11 Aug
ancient11–130.0313%10 Aug
mirage10–13-0.0511%10 Aug
dust213–40.0316%10 Aug
dust213–90.0311%10 Aug
cache13–6-0.0214%9 Aug
anubis13–9-0.037%9 Aug
inferno3–13-0.1112%9 Aug
mirage13–50.045%9 Aug
mirage13–110.0313%9 Aug
inferno8–13-0.0418%9 Aug
dust213–5-0.0614%9 Aug
ancient13–9-0.0213%8 Aug
mirage13–16-0.0612%8 Aug
dust29–2-0.0314%8 Aug
dust25–13-0.0213%8 Aug
inferno13–6-0.0711%8 Aug
mirage13–6-0.0113%7 Aug
nuke10–13-0.0415%7 Aug
mirage9–13-0.0312%7 Aug
dust211–13-0.048%6 Aug
anubis5–13-0.0719%6 Aug
anubis13–20.0312%5 Aug
dust211–13-0.0220%5 Aug
dust215–15-0.0318%4 Aug
mirage10–13-0.0118%4 Aug
dust28–130.0619%4 Aug
mirage8–13-0.066%4 Aug
inferno8–13-0.0714%3 Aug
nuke11–13-0.046%3 Aug
ancient3–13-0.0810%3 Aug
ancient16–13-0.0416%3 Aug
anubis13–10-0.0412%2 Aug
dust215–15-0.0111%2 Aug
ancient13–10-0.048%2 Aug
mirage5–13-0.1112%2 Aug
ancient13–7-0.008%2 Aug
mirage13–20.0414%2 Aug
inferno7–13-0.0711%2 Aug
mirage13–30.0412%2 Aug
ancient10–13-0.0216%2 Aug
cache13–110.0313%1 Aug
mirage9–13-0.0617%1 Aug
nuke13–60.0110%1 Aug
vertigo4–13-0.027%1 Aug
inferno13–9-0.058%1 Aug
ancient13–8-0.0322%1 Aug
dust28–13-0.0112%1 Aug
mirage13–7-0.037%1 Aug
mirage11–13-0.0214%1 Aug
inferno7–13-0.0413%31 Jul
ancient9–13-0.068%31 Jul
dust26–13-0.0714%31 Jul
mirage13–90.0016%31 Jul
inferno12–12-0.0620%31 Jul
dust213–3-0.0014%31 Jul
mirage13–9-0.115%30 Jul
dust216–13-0.0512%30 Jul
mirage6–13-0.0716%30 Jul
mirage10–130.0519%30 Jul
inferno13–6-0.0617%30 Jul
ancient2–13-0.0915%29 Jul
mirage12–12-0.0216%27 Jul
cache5–13-0.0026%27 Jul
dust213–70.0417%27 Jul
cache3–13-0.0516%27 Jul
anubis13–110.0013%27 Jul
ancient0–7-0.037%27 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 →