seNa — CS2 Stats

76561198058375132[U:1:98109404]

854Tracked matches45%Win rate2021Tracked since

4,225Hours in CS1Hrs last 2 wks

CSDB Rating3.6 Learning

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim42

Positioning39

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWLWLWWLL

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim4.2

Aggression1.9

Utility5.1

Positioning3.9

Opening Duels0.0

Clutch4.6

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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 42% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.2

Positioning3.9

Utility5.1

Mechanics4.4

Opening Duels1.5

Win Impact3.3

Composite 3.6/10 (Learning), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time700ms+25ms

first ⅓ avg 675ms → last ⅓ avg 700ms

Headshot accuracy14.7%+0.9%

first ⅓ avg 13.9% → last ⅓ avg 14.7%

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

0.16Best rating — mirage 13–10

13–1Biggest win — inferno

6Longest win streak

L2Current streak

7–3In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 0% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	30	18–12	60%	0.02
inferno	A	20	12–8	60%	0.05
ancient	B	16	8–8	50%	0.00
dust2	D	10	0–10	0%	0.01
overpass	C	9	4–5	44%	0.03
nuke	C	7	3–4	43%	0.01
anubis	S	5	4–1	80%	0.02
cache	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,914Lifetime kills

0.86K/D

3,587Matches

72.0%Match win rate · Top 1% of tracked players

35.5%Headshot %

14.6%Shot accuracy · Top 50% of tracked players

5,726MVPs

1,981Hours (in match)

5,464Bombs planted

2,024Bombs defused

Most-used weapons

AK-4739,022

AWP17,353

M4A4 / M4A1-S13,934

P2000 / USP-S3,907

Glock-183,628

Desert Eagle3,362

Tec-93,010

Knife2,955

UMP-452,928

MAC-102,498

Lifetime map wins

4,623dust2

4,533inferno

2,900train

1,829nuke

1,410vertigo

1,132cbble

222lake

194safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

135Matches

44%Win rate

1.25Avg K/D

85.0ADR

37%Headshot %

Clutches & streaks

43%1v1 clutch win

27%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	40%	1.23	16.3
Dust2	20	25%	1.08	15.1
Ancient	17	59%	1.33	16.8
Inferno	15	53%	1.60	15.7
Nuke	13	46%	1.23	17.5
Overpass	7	43%	1.63	19.0
Anubis	6	50%	1.16	19.7
Cache	1	0%	0.88	15.0

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.

14.4%Headshot accuracy

36.2%Accuracy (enemy spotted)

37.7%Spray accuracy

70.0%Counter-strafing

12.5°Preaim

692msReaction time

16.6%T opening success

41.9%CT opening success

0.66Enemies flashed / flash

4.3%Flash assists

6.74HE damage / grenade

8.34Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4762° — above the 12° mark we flag
Aim Training →
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 14.3569% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	0.01	56%	24 Aug →
dust2	4–13	-0.03	6%	13 Aug →
anubis	13–6	0.02	9%	13 Aug →
cache	9–13	-0.06	18%	10 May →
nuke	13–9	0.01	5%	9 May →
mirage	8–13	-0.00	9%	9 May →
inferno	13–11	0.05	11%	8 May →
ancient	13–11	-0.00	16%	6 May →
ancient	6–13	-0.03	4%	6 May →
mirage	3–13	0.01	12%	30 Apr →
inferno	13–1	0.06	19%	30 Apr →
cache	6–13	-0.01	12%	30 Apr →
inferno	12–12	0.05	13%	30 Apr →
inferno	9–4	0.11	15%	30 Apr →
cache	13–8	0.07	10%	29 Apr →
mirage	18–22	0.08	16%	29 Apr →
mirage	13–6	0.06	9%	29 Apr →
inferno	13–5	0.14	10%	28 Apr →
inferno	9–13	0.02	12%	28 Apr →
overpass	10–13	0.01	19%	28 Apr →
mirage	11–13	-0.03	22%	27 Apr →
ancient	10–13	-0.01	30%	27 Apr →
mirage	13–10	0.04	14%	25 Apr →
inferno	13–1	0.13	16%	25 Apr →
ancient	10–13	0.01	7%	25 Apr →
mirage	13–10	0.16	15%	25 Apr →
overpass	4–13	-0.05	12%	24 Apr →
overpass	13–11	0.07	13%	24 Apr →
inferno	9–13	0.09	14%	24 Apr →
inferno	13–7	-0.01	8%	23 Apr →
mirage	7–13	-0.05	28%	23 Apr →
nuke	13–4	0.05	16%	23 Apr →
dust2	10–13	-0.01	11%	23 Apr →
ancient	13–10	0.01	13%	23 Apr →
mirage	5–13	-0.05	20%	23 Apr →
mirage	3–13	0.01	17%	21 Apr →
inferno	9–5	0.15	17%	21 Apr →
overpass	10–13	0.06	11%	21 Apr →
mirage	14–16	0.02	14%	20 Apr →
nuke	13–10	-0.01	11%	20 Apr →
ancient	13–10	0.04	14%	18 Apr →
inferno	5–13	0.01	25%	18 Apr →
mirage	19–16	0.02	12%	17 Apr →
ancient	13–9	0.06	13%	17 Apr →
anubis	16–13	0.01	11%	16 Apr →
mirage	13–6	0.12	9%	16 Apr →
ancient	13–8	0.00	10%	16 Apr →
mirage	13–5	-0.06	15%	14 Apr →
mirage	9–13	-0.00	10%	14 Apr →
nuke	15–15	0.06	14%	14 Apr →
dust2	9–13	0.02	9%	14 Apr →
nuke	15–19	0.02	19%	13 Apr →
mirage	13–7	0.00	12%	11 Apr →
ancient	10–13	-0.08	13%	11 Apr →
mirage	13–4	-0.01	11%	8 Apr →
inferno	13–9	0.00	11%	8 Apr →
dust2	9–13	0.09	13%	8 Apr →
mirage	13–6	0.04	12%	7 Apr →
anubis	13–10	0.07	13%	7 Apr →
mirage	13–2	0.15	9%	7 Apr →
mirage	10–13	0.03	11%	5 Apr →
mirage	13–7	0.12	15%	5 Apr →
mirage	13–3	-0.08	14%	3 Apr →
mirage	16–12	0.09	10%	2 Apr →
mirage	9–13	-0.02	12%	31 Mar →
mirage	13–10	-0.01	15%	31 Mar →
ancient	2–13	-0.08	9%	31 Mar →
dust2	6–13	-0.08	22%	31 Mar →
overpass	6–13	-0.02	6%	26 Mar →
ancient	13–9	0.00	15%	26 Mar →
dust2	10–13	0.04	13%	26 Mar →
ancient	13–8	0.05	14%	26 Mar →
overpass	13–3	0.06	9%	24 Mar →
mirage	13–10	0.06	12%	24 Mar →
inferno	10–13	0.04	13%	24 Mar →
mirage	13–11	-0.01	16%	24 Mar →
dust2	7–13	0.03	13%	18 Mar →
inferno	8–13	-0.05	8%	18 Mar →
mirage	8–13	-0.00	25%	17 Mar →
overpass	13–6	0.10	4%	14 Mar →
inferno	11–13	-0.01	10%	12 Mar →
overpass	13–6	0.07	16%	12 Mar →
ancient	13–11	0.04	19%	12 Mar →
overpass	10–13	-0.05	13%	12 Mar →
dust2	8–13	0.01	10%	12 Mar →
anubis	13–6	0.06	10%	7 Mar →
inferno	12–16	0.02	13%	7 Mar →
ancient	7–13	0.01	16%	7 Mar →
dust2	8–13	0.00	7%	7 Mar →
nuke	5–13	0.03	3%	7 Mar →
mirage	13–11	0.03	19%	5 Mar →
inferno	13–10	0.09	20%	5 Mar →
inferno	13–8	0.06	14%	5 Mar →
ancient	8–13	-0.03	13%	3 Mar →
anubis	5–13	-0.05	24%	3 Mar →
inferno	13–11	-0.03	18%	3 Mar →
ancient	15–15	0.04	14%	1 Mar →
nuke	2–13	-0.07	14%	1 Mar →
mirage	13–5	-0.02	21%	26 Feb →
inferno	13–8	-0.00	12%	26 Feb →