NOVINARA — CS2 Stats

76561198162430517[U:1:202164789]Steam profile ↗✓ No bans

1,479Tracked matches23%Win rate2020Tracked since

2,859Hours in CS2Hrs last 2 wks

CSDB Rating2.3 Learning

Ladder ranks via Leetify

Performance scores

Aim17

Positioning25

Utility18

0–100 skill scores via Leetify.

Recent form

COLD35–64–1Last 10035%Win rateLLLLLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim1.7

Aggression0.9

Utility1.8

Positioning2.5

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

Plays most like NiKo 53% 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. 721ms 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

Aim1.7

Positioning2.5

Utility1.8

Mechanics6.5

Opening Duels0.0

Win Impact0.0

Composite 2.3/10 (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-0.06−0.01

first ⅓ avg -0.05 → last ⅓ avg -0.06

Reaction time715ms+20ms

first ⅓ avg 695ms → last ⅓ avg 715ms

Headshot accuracy14.4%−0.7%

first ⅓ avg 15.2% → last ⅓ avg 14.4%

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 — inferno 13–8

13–1Biggest win — anubis

5Longest win streak

L12Current streak

3–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 75% over 8mirageWeakest map · 0% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	19	5–14	26%	-0.06
inferno	B	18	9–9	50%	-0.05
overpass	C	15	6–9	40%	-0.06
nuke	D	13	4–9	31%	-0.06
dust2	D	10	3–7	30%	-0.05
mirage	D	9	0–9	0%	-0.05
train	S	8	6–2	75%	-0.05
anubis	—	3	1–2	33%	-0.02
vertigo	—	3	1–2	33%	-0.09
cache	—	2	0–2	0%	-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,954Lifetime kills

0.79K/D

4,110Matches

30.9%Match win rate

35.3%Headshot %

20.1%Shot accuracy · Top 5% of tracked players

4,709MVPs

1,586Hours (in match)

3,857Bombs planted

385Bombs defused

Most-used weapons

M4A4 / M4A1-S13,835

AK-479,227

AWP7,260

AUG6,195

SG 5536,034

Galil AR5,786

P2000 / USP-S2,976

Glock-182,316

P2502,127

P902,035

Lifetime map wins

9,930dust2

4,939inferno

1,423nuke

1,099vertigo

631train

85office

55lake

10safehouse

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.

13.7%Headshot accuracy

19.7%Accuracy (enemy spotted)

21.5%Spray accuracy

79.2%Counter-strafing

10.4°Preaim

721msReaction time

20.4%T opening success

18.4%CT opening success

0.30Enemies flashed / flash

0.0%Flash assists

11.83HE damage / grenade

0.61Flashes / 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.

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 13.6753% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 721.1679ms — above the 700ms mark we flag
Aim Training →
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 0.3038 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	5–13	-0.07	22%	22 Aug →
cache	7–13	-0.09	8%	22 Aug →
ancient	0–13	-0.08	13%	22 Aug →
ancient	4–13	-0.03	15%	20 Jun →
mirage	1–13	-0.02	13%	20 Jun →
cache	1–13	-0.10	11%	20 Jun →
overpass	1–13	-0.02	24%	20 Jun →
inferno	5–13	-0.13	14%	20 Jun →
dust2	2–13	-0.03	21%	20 Jun →
inferno	7–13	-0.10	8%	30 May →
mirage	6–13	-0.11	18%	23 May →
ancient	4–13	-0.04	18%	23 May →
inferno	13–5	-0.03	16%	10 Apr →
dust2	13–10	-0.04	4%	10 Apr →
mirage	4–13	-0.05	19%	10 Apr →
overpass	8–13	-0.07	19%	6 Mar →
ancient	5–13	-0.06	9%	6 Mar →
inferno	13–2	0.01	23%	28 Feb →
nuke	6–13	-0.06	8%	28 Feb →
ancient	3–13	-0.12	4%	28 Feb →
inferno	13–9	-0.05	8%	27 Feb →
mirage	8–13	-0.06	16%	14 Feb →
overpass	6–13	-0.05	13%	6 Feb →
anubis	13–1	0.06	28%	6 Feb →
inferno	6–13	-0.04	11%	6 Feb →
nuke	13–9	-0.05	10%	16 Jan →
train	8–13	-0.09	7%	3 Jan →
inferno	6–13	-0.10	19%	3 Jan →
inferno	9–13	-0.08	16%	27 Dec →
overpass	13–10	-0.09	10%	27 Dec →
ancient	13–6	-0.09	28%	27 Dec →
ancient	8–13	-0.09	17%	20 Dec →
inferno	4–13	-0.08	8%	20 Dec →
overpass	8–13	-0.11	4%	20 Dec →
dust2	8–13	-0.07	13%	18 Dec →
ancient	11–13	-0.07	15%	22 Nov →
inferno	6–0	-0.07	0%	22 Nov →
ancient	14–16	-0.07	32%	31 Oct →
overpass	16–14	-0.08	13%	25 Oct →
train	13–9	-0.06	11%	18 Oct →
ancient	7–13	-0.10	8%	18 Oct →
overpass	8–13	-0.06	10%	18 Oct →
nuke	13–2	0.01	10%	10 Oct →
overpass	13–5	-0.01	6%	10 Oct →
nuke	8–13	-0.13	5%	4 Oct →
ancient	13–6	-0.00	17%	4 Oct →
train	13–4	-0.04	14%	4 Oct →
overpass	8–13	-0.04	26%	4 Oct →
overpass	10–13	-0.02	8%	27 Sept →
nuke	8–13	-0.05	16%	27 Sept →
ancient	5–13	-0.07	14%	27 Sept →
overpass	13–11	-0.05	20%	26 Sept →
train	13–5	-0.01	15%	26 Sept →
ancient	10–13	-0.04	24%	23 Sept →
inferno	13–6	-0.03	33%	23 Sept →
mirage	9–13	0.03	10%	20 Sept →
dust2	7–13	-0.11	14%	20 Sept →
nuke	13–6	-0.02	22%	20 Sept →
dust2	11–13	-0.04	13%	19 Sept →
inferno	10–13	-0.03	28%	19 Sept →
overpass	2–13	-0.06	17%	19 Sept →
overpass	11–13	-0.11	6%	6 Sept →
inferno	5–13	-0.14	0%	6 Sept →
nuke	6–13	-0.07	8%	6 Sept →
dust2	4–13	-0.04	8%	5 Sept →
train	13–1	-0.03	11%	5 Sept →
nuke	10–13	-0.02	27%	5 Sept →
ancient	13–9	-0.08	6%	5 Sept →
train	13–4	-0.05	11%	30 Aug →
ancient	8–13	-0.01	14%	30 Aug →
nuke	7–13	-0.10	10%	2 Aug →
inferno	13–9	-0.02	16%	2 Aug →
dust2	7–13	-0.05	17%	1 Aug →
nuke	8–13	-0.13	11%	1 Aug →
inferno	11–13	-0.05	24%	1 Aug →
overpass	13–3	-0.07	12%	26 Jul →
dust2	13–10	-0.06	17%	26 Jul →
ancient	13–5	-0.06	11%	26 Jul →
overpass	13–5	-0.07	22%	26 Jul →
train	13–7	-0.05	21%	23 Jul →
ancient	6–13	-0.07	16%	23 Jul →
nuke	11–13	-0.06	10%	21 Jun →
mirage	2–13	-0.03	17%	11 May →
mirage	7–13	-0.07	21%	11 May →
inferno	13–4	0.02	12%	10 May →
inferno	13–10	-0.02	22%	9 May →
ancient	13–11	-0.04	7%	9 May →
anubis	11–13	-0.00	20%	3 May →
ancient	15–15	0.01	17%	3 May →
mirage	9–13	-0.03	8%	17 Apr →
inferno	13–8	0.07	20%	12 Apr →
dust2	6–13	-0.06	24%	12 Apr →
nuke	9–13	-0.05	16%	12 Apr →
train	8–13	-0.08	12%	12 Apr →
nuke	13–2	-0.02	14%	1 Feb →
anubis	2–13	-0.12	14%	1 Feb →
vertigo	6–13	-0.09	13%	31 Dec →
dust2	13–8	-0.04	25%	31 Dec →
vertigo	5–13	-0.08	16%	29 Dec →
vertigo	13–9	-0.10	7%	14 Dec →