NOVA

NOVA — CS2 Stats

US76561198168797180[U:1:208531452]Steam profile ↗✓ No bans

358Tracked matches55%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating11,376Blue band · top ~47.6% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 25 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,376 -2,204 29 Jan18 Sept · 18 days played
9,48414,572peak 14,57229 Jan18 Sept
14,850Peak Premier in tracked matches
32Days played since 2026-01-25

Premier CS Rating

  • 3,196 below peak (14,572)
  • Next: Purple band at 15,000 3,624 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGNOVAPREMIER11,376 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning71
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY41554Last 10041%Win rateWLLLWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · +0.7pp headshot accuracy · −13ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 663ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 632ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.0
Utility3.0
Positioning7.1
Opening Duels5.7

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim 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

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

Reaction time. 621ms 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

Aim8.0
Positioning7.1
Utility3.0
Mechanics6.4
Opening Duels5.8
Win Impact6.7

Composite 6.2/10 (Solid), 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+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time624ms−26ms
first ⅓ avg 650ms → last ⅓ avg 624ms
Headshot accuracy11.2%−0.4%
first ⅓ avg 11.6% → last ⅓ avg 11.2%

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.

Personal bests

0.27Best match rating · 13–1 · mirage, 12 Sept
26%Best headshot accuracy · 6–13 · inferno, 5 Sept
406msFastest reaction time · 3–9 · inferno, 17 Sept
13–1Biggest win · mirage, 12 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
76In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 60% over 20anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB23111248%0.02
dust2A2012860%0.04
infernoD1541127%0.00
nukeD1431121%-0.01
ancientC73443%0.02
anubisD61517%-0.02
overpass41325%-0.03
train220100%0.03
shelter21150%0.15
office21150%0.07
poseidon1010%-0.19
boulder110100%-0.04
cache1010%-0.06
vertigo1010%-0.22
alpine110100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.2%Headshot accuracy
44.4%Accuracy (enemy spotted)
40.6%Spray accuracy
78.6%Counter-strafing
7.3°Preaim
621msReaction time
48.8%T opening success
58.0%CT opening success
0.37Enemies flashed / flash
3.6%Flash assists
13.13HE damage / grenade
1.61Flashes / 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 11.1749% — 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 0.3659 — below the 0.5 mark we flag

    Grenade Lineups
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–140.0221%18 Sept
inferno3–130.0211%18 Sept
inferno6–130.108%18 Sept
nuke4–13-0.047%18 Sept
mirage13–50.0821%18 Sept
inferno3–9-0.2024%17 Sept
mirage13–7-0.008%17 Sept
nuke13–90.0710%15 Sept
mirage13–40.077%15 Sept
poseidon2–9-0.1911%15 Sept
inferno9–60.178%14 Sept
inferno4–9-0.068%14 Sept
dust213–70.0713%14 Sept
nuke8–8-0.0913%14 Sept
anubis5–13-0.0314%13 Sept
anubis13–4-0.0113%13 Sept
dust213–40.1411%13 Sept
nuke7–130.0313%12 Sept
dust210–130.0419%12 Sept
mirage9–130.0411%12 Sept
inferno8–13-0.008%12 Sept
dust213–80.1010%12 Sept
mirage13–90.0616%12 Sept
dust27–10.0525%12 Sept
ancient10–13-0.002%12 Sept
mirage15–15-0.016%12 Sept
nuke13–20.0913%12 Sept
mirage7–130.096%12 Sept
dust213–40.115%12 Sept
dust212–160.055%12 Sept
mirage13–10.270%12 Sept
nuke11–13-0.019%11 Sept
inferno11–130.0016%10 Sept
mirage13–90.0511%10 Sept
dust213–70.1021%10 Sept
mirage16–130.1012%9 Sept
boulder13–11-0.047%7 Sept
train8–80.0219%7 Sept
shelter13–20.1418%7 Sept
shelter12–120.1615%7 Sept
office13–60.0421%7 Sept
office10–130.1010%5 Sept
inferno6–130.0626%5 Sept
ancient13–90.0919%5 Sept
train13–70.0415%5 Sept
inferno8–130.016%5 Sept
dust213–40.0716%5 Sept
nuke7–13-0.0319%5 Sept
nuke5–13-0.069%3 Sept
ancient13–20.0414%3 Sept
anubis9–130.0615%3 Sept
nuke1–13-0.069%3 Sept
overpass13–70.0213%25 May
cache5–13-0.062%15 May
ancient7–130.019%14 May
inferno3–13-0.0211%14 May
mirage7–13-0.0123%14 May
vertigo0–9-0.220%14 May
alpine13–110.077%26 Apr
mirage5–130.000%26 Apr
inferno9–5-0.028%26 Apr
mirage5–13-0.045%20 Apr
dust210–130.1212%4 Apr
ancient2–13-0.0411%4 Apr
ancient8–130.106%29 Mar
overpass0–13-0.0711%29 Mar
nuke4–130.0618%29 Mar
dust22–13-0.0123%29 Mar
mirage9–13-0.0423%11 Mar
dust29–13-0.0211%6 Mar
nuke8–13-0.0711%5 Mar
mirage14–16-0.025%22 Feb
anubis11–13-0.0217%22 Feb
mirage11–13-0.0716%4 Feb
inferno3–13-0.0514%4 Feb
mirage13–110.019%2 Feb
mirage8–130.022%1 Feb
mirage13–110.026%1 Feb
dust21–130.0111%1 Feb
nuke10–13-0.0315%1 Feb
mirage13–16-0.069%31 Jan
mirage13–60.0214%31 Jan
nuke13–50.0221%31 Jan
anubis1–6-0.0825%31 Jan
dust23–13-0.115%31 Jan
dust24–13-0.0313%31 Jan
inferno13–80.0513%31 Jan
dust213–30.010%31 Jan
mirage13–110.030%30 Jan
nuke8–13-0.0310%30 Jan
dust213–100.0916%30 Jan
inferno13–90.0115%29 Jan
anubis7–13-0.0111%29 Jan
inferno15–150.004%29 Jan
mirage8–13-0.0412%29 Jan
dust213–70.0310%28 Jan
overpass11–13-0.016%28 Jan
dust213–3-0.058%28 Jan
ancient13–10-0.0311%27 Jan
overpass5–13-0.0619%25 Jan

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 →