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Nova — CS2 Stats

76561198310512515[U:1:350246787]Steam profile ↗

858Tracked matches18%Win rate2023Tracked since
CSDB Rating1.8 Learning
Ladder ranks via Leetify

Performance scores

Aim16
Positioning30
Utility10

0–100 skill scores via Leetify.

Recent form

COLD36–55–9Last 10036%Win rateLLLLLLLTLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim1.6
Aggression0.3
Utility1.0
Positioning3.0
Opening Duels0.0

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 55% 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

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.6
Positioning3.0
Utility1.0
Mechanics3.8
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time581ms−75ms
first ⅓ avg 655ms → last ⅓ avg 581ms
Headshot accuracy9.8%−2.0%
first ⅓ avg 11.9% → last ⅓ avg 9.8%

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

0.17Best rating — nuke 13–6
13–1Biggest win — inferno
7Longest win streak
L7Current streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoD143–1121%-0.02
nukeC145–936%0.02
officeA116–555%-0.01
vertigoA117–464%-0.03
mirageD93–633%-0.02
dust2D92–722%-0.04
trainD72–529%-0.02
anubisD71–614%-0.05
cacheS54–180%-0.02
ancient—41–325%-0.03
overpass—30–30%-0.07
italy—20–20%-0.06
shelter—22–0100%-0.04
boulder—20–20%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). 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.

9.8%Headshot accuracy
31.7%Accuracy (enemy spotted)
19.3%Spray accuracy
67.0%Counter-strafing
15.3°Preaim
595msReaction time
16.6%T opening success
22.5%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
5.61HE damage / grenade
0.53Flashes / 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 15.3253° — 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 9.8375% — 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 0.0955 — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0319%28 Aug →
office8–13-0.008%28 Aug →
train7–13-0.039%28 Aug →
vertigo0–9-0.0312%26 Aug →
train10–13-0.038%26 Aug →
vertigo3–13-0.098%25 Aug →
dust25–13-0.079%25 Aug →
inferno12–12-0.085%24 Aug →
office7–13-0.0119%24 Aug →
dust28–13-0.048%21 Aug →
nuke6–13-0.034%19 Aug →
office13–8-0.0614%19 Aug →
nuke4–13-0.0311%17 Aug →
vertigo13–90.053%14 Aug →
office1–13-0.100%13 Aug →
dust24–13-0.033%12 Aug →
inferno6–13-0.0311%10 Aug →
vertigo11–13-0.016%10 Aug →
inferno13–10.036%9 Aug →
nuke3–130.0119%9 Aug →
office13–50.0517%9 Aug →
train2–13-0.058%9 Aug →
mirage13–16-0.0516%8 Aug →
anubis1–13-0.057%8 Aug →
overpass7–13-0.129%6 Aug →
vertigo13–30.0011%6 Aug →
nuke4–13-0.077%5 Aug →
anubis6–13-0.046%4 Aug →
nuke7–130.039%4 Aug →
inferno12–12-0.0516%4 Aug →
mirage5–13-0.0213%4 Aug →
ancient13–4-0.0212%4 Aug →
inferno4–13-0.0513%3 Aug →
vertigo12–12-0.0610%3 Aug →
inferno4–13-0.077%3 Aug →
office6–13-0.0412%2 Aug →
mirage13–4-0.019%2 Aug →
inferno12–12-0.038%31 Jul →
nuke13–60.1720%31 Jul →
mirage6–13-0.0513%31 Jul →
cache13–70.0412%31 Jul →
overpass10–13-0.0215%30 Jul →
train13–40.026%30 Jul →
vertigo13–7-0.0313%30 Jul →
inferno6–130.048%26 Jul →
nuke13–50.0711%26 Jul →
cache13–7-0.0417%25 Jul →
italy12–12-0.050%23 Jul →
dust25–13-0.0622%22 Jul →
train13–90.069%20 Jul →
nuke13–40.089%20 Jul →
overpass5–13-0.068%20 Jul →
nuke11–13-0.0323%17 Jul →
dust25–13-0.0617%17 Jul →
nuke6–130.039%16 Jul →
office13–5-0.050%15 Jul →
mirage9–13-0.0714%15 Jul →
anubis2–13-0.080%13 Jul →
shelter13–5-0.059%13 Jul →
train7–13-0.1220%13 Jul →
shelter9–2-0.030%13 Jul →
dust212–12-0.0113%12 Jul →
boulder7–13-0.0510%12 Jul →
boulder12–12-0.0711%9 Jul →
cache6–13-0.0514%8 Jul →
office13–20.048%8 Jul →
italy10–13-0.083%7 Jul →
nuke9–130.029%7 Jul →
cache3–00.000%7 Jul →
inferno7–13-0.0811%5 Jul →
vertigo13–11-0.0613%5 Jul →
anubis5–13-0.0814%5 Jul →
inferno8–130.0217%5 Jul →
ancient10–13-0.0515%2 Jul →
mirage13–40.0712%1 Jul →
inferno13–3-0.0212%1 Jul →
office5–130.0016%30 Jun →
vertigo13–11-0.0512%30 Jun →
mirage13–11-0.069%30 Jun →
vertigo13–6-0.0419%28 Jun →
inferno7–13-0.065%28 Jun →
vertigo13–40.0213%27 Jun →
inferno12–12-0.0116%27 Jun →
ancient11–130.0115%27 Jun →
dust22–13-0.114%27 Jun →
nuke8–00.0133%27 Jun →
office13–40.0210%26 Jun →
inferno13–60.0413%26 Jun →
anubis13–40.0211%26 Jun →
nuke13–20.078%26 Jun →
dust213–10.0810%26 Jun →
cache13–9-0.052%25 Jun →
nuke12–12-0.0114%25 Jun →
mirage11–130.0715%24 Jun →
train6–130.0113%24 Jun →
ancient9–13-0.0411%24 Jun →
anubis3–13-0.0110%24 Jun →
dust213–11-0.0210%24 Jun →
anubis0–13-0.139%21 Jun →
office13–70.0114%21 Jun →

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 →

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