Nova — CS2 Stats

76561198069618509[U:1:109352781]

2,775Tracked matches41%Win rate2020Tracked since

CSDB Rating5.2 DevelopingAggressive Rifler

FaceitLevel 8 · 1,497 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning47

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLWLWLLLWLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression6.5

Utility4.3

Positioning4.7

Opening Duels3.6

Clutch1.8

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 ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

Positioning. Positioning trails aim by 32 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.

Reaction time. 594ms 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

Aim7.9

Positioning4.7

Utility4.3

Mechanics8.2

Opening Duels3.6

Win Impact2.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time584ms−75ms

first ⅓ avg 660ms → last ⅓ avg 584ms

Headshot accuracy17.8%+3.6%

first ⅓ avg 14.1% → last ⅓ avg 17.8%

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

0.15Best rating — inferno 13–8

13–1Biggest win — dust2

3Longest win streak

8–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 60% over 10ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	0.01
cache	C	22	8–14	36%	0.01
mirage	A	12	7–5	58%	0.01
inferno	B	11	5–6	45%	0.01
nuke	A	10	6–4	60%	-0.01
overpass	C	5	2–3	40%	0.00
ancient	D	5	1–4	20%	-0.05
anubis	—	3	1–2	33%	-0.03
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,402Matches

49%Win rate

1.05Avg K/D

85.8ADR

39%Headshot %

Clutches & streaks

29%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	107	57%	1.07	16.7
Dust2	65	38%	0.96	16.6
Nuke	64	50%	1.01	16.8
Inferno	63	48%	1.09	16.4
Ancient	57	51%	1.01	16.8
Anubis	15	67%	1.14	17.6
Overpass	9	44%	1.08	19.3
Vertigo	6	50%	1.00	14.3

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.

16.4%Headshot accuracy

37.2%Accuracy (enemy spotted)

37.2%Spray accuracy

86.7%Counter-strafing

8.3°Preaim

594msReaction time

40.1%T opening success

48.3%CT opening success

0.48Enemies flashed / flash

4.0%Flash assists

9.06HE damage / grenade

5.96Flashes / 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.

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 0.4835 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	0.03	26%	15 Aug →
inferno	13–8	0.15	10%	15 Aug →
dust2	14–16	-0.02	15%	10 Aug →
dust2	13–9	-0.06	17%	10 Aug →
inferno	7–13	-0.07	12%	10 Aug →
dust2	9–13	0.01	17%	7 Aug →
dust2	10–13	-0.05	11%	7 Aug →
dust2	4–2	0.05	42%	6 Aug →
cache	0–9	0.03	20%	6 Aug →
mirage	13–11	0.04	13%	6 Aug →
inferno	4–1	-0.05	0%	6 Aug →
inferno	2–13	-0.04	26%	5 Aug →
cache	2–8	0.01	21%	5 Aug →
dust2	13–11	0.02	15%	3 Aug →
dust2	13–1	0.03	29%	3 Aug →
cache	11–13	-0.08	14%	20 May →
dust2	13–8	0.01	8%	20 May →
cache	12–12	-0.03	16%	20 May →
cache	11–13	0.02	17%	19 May →
overpass	5–13	-0.08	19%	18 May →
cache	1–13	-0.01	25%	18 May →
dust2	10–13	-0.03	13%	16 May →
cache	5–13	0.05	27%	16 May →
mirage	13–5	0.01	14%	16 May →
ancient	13–11	-0.06	11%	16 May →
inferno	7–13	-0.04	22%	16 May →
mirage	13–5	0.08	19%	16 May →
inferno	5–13	0.09	11%	14 May →
cache	3–13	0.03	22%	14 May →
mirage	13–4	0.00	8%	14 May →
dust2	7–13	-0.03	18%	14 May →
dust2	11–13	0.05	32%	12 May →
mirage	4–13	-0.02	18%	12 May →
cache	13–6	0.02	15%	12 May →
ancient	11–13	0.02	22%	11 May →
inferno	13–4	0.07	16%	10 May →
dust2	12–12	0.04	17%	10 May →
nuke	7–13	-0.05	8%	10 May →
cache	13–8	-0.07	17%	10 May →
train	13–2	0.01	7%	10 May →
mirage	8–13	0.03	22%	10 May →
cache	10–13	-0.03	6%	9 May →
anubis	13–10	-0.01	14%	9 May →
dust2	5–13	0.03	11%	9 May →
cache	13–9	-0.01	13%	8 May →
overpass	4–13	-0.07	11%	8 May →
mirage	13–4	-0.04	19%	8 May →
dust2	13–6	-0.02	11%	8 May →
dust2	13–11	-0.01	17%	7 May →
inferno	5–13	-0.01	6%	7 May →
cache	13–11	0.01	10%	7 May →
cache	13–7	0.07	13%	6 May →
ancient	7–13	-0.07	18%	6 May →
inferno	13–11	-0.04	15%	5 May →
nuke	13–7	-0.07	11%	5 May →
cache	13–6	0.00	9%	5 May →
dust2	3–13	-0.05	13%	3 May →
cache	11–13	0.02	22%	3 May →
dust2	7–13	-0.02	19%	3 May →
cache	13–6	0.01	9%	2 May →
dust2	13–6	0.06	12%	2 May →
cache	4–13	-0.09	6%	2 May →
dust2	13–5	0.10	17%	1 May →
cache	8–13	0.00	17%	1 May →
inferno	4–13	-0.04	10%	1 May →
cache	13–7	0.03	19%	1 May →
cache	12–12	0.04	11%	1 May →
cache	6–13	0.10	14%	29 Apr →
nuke	13–1	0.05	5%	29 Apr →
nuke	7–13	0.03	18%	28 Apr →
mirage	8–13	-0.08	12%	28 Apr →
dust2	12–12	-0.02	19%	28 Apr →
dust2	13–9	0.06	21%	27 Apr →
ancient	2–13	-0.03	9%	27 Apr →
mirage	9–13	-0.01	31%	27 Apr →
anubis	8–13	-0.03	15%	27 Apr →
ancient	4–13	-0.10	4%	27 Apr →
dust2	13–5	0.01	15%	27 Apr →
dust2	12–12	-0.00	17%	26 Apr →
dust2	0–5	0.01	11%	26 Apr →
nuke	13–11	0.01	9%	26 Apr →
dust2	13–7	0.01	13%	26 Apr →
overpass	13–6	0.08	13%	26 Apr →
dust2	7–13	0.01	17%	26 Apr →
mirage	13–8	0.00	27%	25 Apr →
nuke	13–2	0.02	13%	25 Apr →
nuke	7–13	-0.04	5%	25 Apr →
anubis	0–8	-0.04	24%	25 Apr →
dust2	4–13	-0.01	13%	25 Apr →
overpass	18–22	-0.01	11%	25 Apr →
overpass	13–6	0.08	15%	25 Apr →
mirage	13–2	0.08	8%	24 Apr →
nuke	10–13	0.01	14%	24 Apr →
inferno	13–8	0.05	8%	24 Apr →
dust2	13–10	-0.00	11%	24 Apr →
nuke	13–10	-0.10	4%	23 Apr →
mirage	12–12	0.05	26%	23 Apr →
nuke	13–8	-0.02	10%	23 Apr →
dust2	12–12	0.05	20%	23 Apr →
dust2	11–13	-0.08	17%	23 Apr →