NULAQUA

NULAQUA — CS2 Stats

MN76561198132329526[U:1:172063798]Steam profile ↗

1,112Tracked matches40%Win rate2020Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
FaceitLevel 7 · 1,713 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNULAQUAFACEITLevel 7 · 1,713 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateLLLLWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim6.4
Aggression6.0
Utility6.1
Positioning4.5
Opening Duels1.4
Clutch3.0

Strong CT-side openerEffective flashes

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: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms 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

Aim6.4
Positioning4.5
Utility6.1
Mechanics7.4
Opening Duels1.8
Win Impact1.7

Composite 4.9/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time653ms+9ms
first ⅓ avg 644ms → last ⅓ avg 653ms
Headshot accuracy18.7%−4.4%
first ⅓ avg 23.0% → last ⅓ avg 18.7%

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

0.10Best rating — ancient 13–2
132Biggest win — inferno
4Longest win streak
L4Current streak
138In matches decided by ≤2 rounds
14Overtime games

Map breakdown

trainBest map · 83% over 6ancientWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB25121348%-0.02
ancientC2181338%-0.02
dust2C1981142%-0.01
infernoS107370%-0.01
nukeB84450%-0.00
trainS65183%0.01
overpassA53260%-0.04
anubis4040%-0.01
cache110100%-0.03
vertigo1010%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,848Matches
50%Win rate
1.01Avg K/D
74.6ADR
47%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20552%0.9915.5
Dust214649%1.0015.2
Ancient10947%0.9715.1
Inferno10056%0.9915.0
Nuke3749%1.0316.4
Anubis2931%0.8713.5
Overpass2259%0.9715.9
Train1968%0.9316.8

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.

18.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.2%Spray accuracy
83.1%Counter-strafing
12.5°Preaim
647msReaction time
26.5%T opening success
44.6%CT opening success
0.71Enemies flashed / flash
7.1%Flash assists
9.06HE damage / grenade
13.05Flashes / 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 12.515° — above the 12° mark we flag

    Aim Training
Spend your practice time on Ancient

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 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–130.0315%22 Aug
ancient7–13-0.0823%21 Aug
ancient10–13-0.0321%17 Aug
anubis7–13-0.0214%16 Aug
inferno13–70.0113%16 Aug
cache13–9-0.0337%16 Aug
dust213–7-0.0510%16 Aug
vertigo4–130.0328%15 Aug
dust28–13-0.0422%15 Aug
nuke13–100.0113%13 Jul
mirage19–220.0124%12 Jul
ancient13–70.0324%7 Jul
mirage13–60.0728%6 Jul
nuke11–130.0613%6 Jul
ancient4–13-0.0435%7 Jun
dust24–13-0.0128%6 Apr
dust213–80.0116%6 Apr
dust25–13-0.0236%8 Feb
mirage13–6-0.0223%8 Feb
nuke13–100.0810%8 Feb
mirage12–16-0.078%26 Jan
dust29–13-0.0314%25 Jan
mirage11–13-0.0111%25 Jan
ancient13–100.0410%25 Jan
overpass5–13-0.0412%21 Jan
mirage13–11-0.0519%17 Jan
anubis6–13-0.0312%17 Jan
mirage13–70.0510%17 Jan
mirage17–19-0.0317%15 Jan
inferno8–13-0.0116%11 Jan
anubis10–13-0.0219%11 Jan
ancient11–13-0.1022%10 Jan
dust212–16-0.0416%10 Jan
mirage13–8-0.1018%10 Jan
mirage13–4-0.0113%10 Jan
dust213–110.0523%10 Jan
ancient9–13-0.1017%9 Jan
dust213–7-0.0313%6 Jan
mirage13–11-0.0419%6 Jan
ancient13–11-0.0232%5 Jan
train7–13-0.0229%5 Jan
nuke5–13-0.0439%5 Jan
dust28–13-0.0116%5 Jan
ancient13–16-0.0236%4 Jan
mirage7–13-0.0814%4 Jan
nuke13–110.0033%4 Jan
ancient13–90.0522%4 Jan
mirage13–7-0.0421%4 Jan
overpass16–14-0.0118%3 Jan
mirage14–16-0.0414%3 Jan
mirage13–110.0232%2 Jan
ancient13–110.0119%2 Jan
mirage9–13-0.0129%2 Jan
train13–9-0.0234%1 Jan
nuke13–3-0.0310%1 Jan
dust219–15-0.0213%1 Jan
dust29–130.0116%1 Jan
nuke16–19-0.0219%1 Jan
ancient9–13-0.0218%1 Jan
mirage11–13-0.070%31 Dec
mirage20–22-0.0624%31 Dec
dust213–16-0.0125%30 Dec
ancient8–13-0.0813%30 Dec
dust213–100.0020%30 Dec
inferno13–90.0327%29 Dec
dust213–100.0826%28 Dec
nuke10–13-0.0723%28 Dec
dust213–160.0321%27 Dec
inferno7–13-0.0029%27 Dec
mirage9–13-0.0122%26 Dec
ancient13–11-0.0611%25 Dec
inferno13–11-0.0122%25 Dec
inferno13–11-0.0416%24 Dec
ancient5–13-0.0133%24 Dec
ancient9–130.0122%24 Dec
mirage13–100.0226%24 Dec
dust25–13-0.0317%22 Dec
inferno11–13-0.1325%20 Dec
inferno13–20.0730%20 Dec
train13–110.0525%19 Dec
train13–60.0140%15 Dec
ancient9–13-0.0121%14 Dec
train22–19-0.0331%14 Dec
ancient4–13-0.0510%14 Dec
ancient13–20.1021%14 Dec
dust213–7-0.0120%13 Dec
ancient1–13-0.0429%12 Dec
mirage10–13-0.0522%12 Dec
dust29–13-0.0326%7 Dec
mirage7–13-0.0912%7 Dec
mirage13–80.0419%6 Dec
mirage22–20-0.0330%6 Dec
overpass13–10-0.0218%6 Dec
overpass13–10-0.0618%6 Dec
overpass5–13-0.0527%3 Dec
inferno13–60.0422%1 Dec
ancient13–100.0336%1 Dec
train13–90.0431%1 Dec
inferno13–5-0.0312%1 Dec
mirage8–13-0.0116%1 Dec

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →