NERVA — CS2 Stats

ES76561198259156071[U:1:298890343]Steam profile ↗✓ No bans

755Tracked matches53%Win rate2020Tracked since

1,029Hours in CS

CSDB Rating6.2 SolidAll-Rounder

Premier CS Rating15,295Purple band · top ~27.2% of ranked players (population est.)

WingmanLegendary Eagle

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63

Positioning65

Utility67

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateWLWLLLWLLL

Last 10 vs previous 10: −50pp win rate · −0.05 avg rating · −0.1pp headshot accuracy · −13ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 609ms

Last 10

3–7 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 586ms

Last 20

11–9 · 55% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 592ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.3

Utility6.7

Positioning6.5

Opening Duels5.4

Clutch5.6

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

Plays most like jL 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 605ms 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

Aim6.3

Positioning6.5

Utility6.7

Mechanics5.8

Opening Duels4.8

Win Impact6.1

Composite 6.2/10 (Solid), 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 rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time606ms−13ms

first ⅓ avg 618ms → last ⅓ avg 606ms

Headshot accuracy20.7%+0.4%

first ⅓ avg 20.3% → last ⅓ avg 20.7%

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.

Personal bests

0.14Best match rating · 13–7 · mirage, 29 Mar →

39%Best headshot accuracy · 13–9 · inferno, 9 Apr →

469msFastest reaction time · 3–13 · overpass, 28 Feb →

13–1Biggest win · mirage, 7 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak

5–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 50% over 12dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	15–18	45%	0.00
inferno	B	21	10–11	48%	0.00
ancient	C	19	8–11	42%	-0.01
anubis	B	12	6–6	50%	0.02
dust2	D	6	1–5	17%	0.02
nuke	—	4	1–3	25%	-0.07
overpass	—	2	0–2	0%	-0.03
cache	—	1	0–1	0%	-0.09
vertigo	—	1	0–1	0%	0.04
stronghold	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,945Lifetime kills

1.02K/D

2,306Matches

42.6%Match win rate

44.3%Headshot %

16.1%Shot accuracy

8,621MVPs

1,029Hours (in match)

1,242Bombs planted

879Bombs defused

Most-used weapons

AK-4715,407

AWP10,447

M4A4 / M4A1-S5,783

Desert Eagle4,136

P2000 / USP-S2,056

Glock-181,684

SSG 081,666

P901,033

Knife817

Galil AR748

Lifetime map wins

4,656inferno

3,930dust2

1,221nuke

1,162vertigo

359train

86safehouse

70lake

67ar_shoots

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

Faceit stats

Combat

216Matches

54%Win rate

1.03Avg K/D

85.0ADR

44%Headshot %

Clutches & streaks

48%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	62%	1.07	15.4
Anubis	30	57%	1.17	17.0
Inferno	24	50%	1.07	16.3
Nuke	15	40%	0.79	13.4
Ancient	14	64%	1.02	16.1
Dust2	12	42%	0.89	12.8
Vertigo	5	60%	1.04	17.0
Cache	2	50%	0.58	10.5

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.

21.5%Headshot accuracy

33.3%Accuracy (enemy spotted)

34.3%Spray accuracy

76.2%Counter-strafing

10.6°Preaim

605msReaction time

49.2%T opening success

49.4%CT opening success

0.56Enemies flashed / flash

9.2%Flash assists

8.97HE damage / grenade

9.05Flashes / match

Recommended for you

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.

17% win rate across 6 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
inferno	13–11	-0.02	38%	9 May →
nuke	11–13	-0.04	14%	2 May →
ancient	13–2	0.01	13%	2 May →
cache	7–13	-0.09	26%	1 May →
ancient	11–13	0.02	26%	28 Apr →
inferno	9–13	-0.01	18%	26 Apr →
mirage	13–6	-0.04	15%	26 Apr →
mirage	7–13	-0.05	13%	24 Apr →
dust2	11–13	-0.00	31%	24 Apr →
anubis	14–16	-0.03	32%	23 Apr →
mirage	13–6	0.06	21%	23 Apr →
inferno	9–13	0.03	18%	23 Apr →
inferno	10–13	-0.01	35%	23 Apr →
ancient	13–4	0.06	17%	21 Apr →
mirage	13–6	0.04	19%	19 Apr →
anubis	13–10	-0.05	27%	19 Apr →
inferno	13–10	-0.06	15%	18 Apr →
inferno	13–8	0.04	26%	12 Apr →
inferno	13–9	0.12	39%	9 Apr →
ancient	13–3	0.03	9%	9 Apr →
ancient	13–10	-0.00	25%	9 Apr →
vertigo	9–13	0.04	16%	8 Apr →
inferno	13–10	-0.05	19%	8 Apr →
mirage	9–13	0.07	26%	7 Apr →
mirage	13–6	0.01	18%	5 Apr →
inferno	9–13	-0.07	9%	5 Apr →
ancient	10–13	-0.03	16%	5 Apr →
anubis	13–6	-0.02	16%	1 Apr →
inferno	14–16	0.02	14%	29 Mar →
anubis	13–9	0.04	19%	29 Mar →
ancient	8–13	-0.06	6%	29 Mar →
mirage	13–7	0.14	24%	29 Mar →
anubis	5–13	0.02	21%	28 Mar →
nuke	2–13	-0.17	17%	26 Mar →
mirage	13–11	0.03	19%	25 Mar →
ancient	7–13	-0.06	29%	20 Mar →
ancient	16–12	0.03	20%	18 Mar →
anubis	13–8	0.09	19%	17 Mar →
mirage	8–13	-0.01	10%	16 Mar →
ancient	15–15	-0.04	16%	15 Mar →
inferno	15–15	0.02	21%	15 Mar →
nuke	13–10	-0.03	29%	15 Mar →
mirage	11–13	-0.00	16%	15 Mar →
mirage	9–13	-0.07	20%	12 Mar →
ancient	9–13	-0.03	10%	11 Mar →
nuke	5–13	-0.02	25%	10 Mar →
inferno	8–13	0.01	23%	10 Mar →
mirage	5–13	-0.08	6%	10 Mar →
anubis	13–6	0.06	29%	10 Mar →
dust2	10–13	0.00	17%	10 Mar →
mirage	3–13	-0.03	16%	10 Mar →
mirage	8–13	0.03	20%	10 Mar →
ancient	9–13	-0.07	23%	10 Mar →
mirage	13–6	0.03	19%	9 Mar →
mirage	16–12	-0.01	18%	8 Mar →
mirage	5–13	-0.03	16%	8 Mar →
mirage	4–13	-0.08	17%	8 Mar →
anubis	9–13	-0.06	23%	7 Mar →
mirage	13–1	0.08	27%	7 Mar →
ancient	13–9	0.05	24%	6 Mar →
stronghold	12–12	-0.00	16%	6 Mar →
ancient	7–13	-0.02	18%	6 Mar →
mirage	13–6	0.09	29%	6 Mar →
ancient	11–13	-0.03	22%	6 Mar →
anubis	14–16	-0.01	20%	6 Mar →
mirage	11–13	-0.01	19%	5 Mar →
anubis	13–8	0.13	21%	5 Mar →
inferno	13–7	0.02	24%	5 Mar →
dust2	11–13	-0.03	22%	5 Mar →
mirage	13–4	0.07	17%	4 Mar →
mirage	5–13	-0.01	23%	3 Mar →
dust2	5–13	0.02	17%	3 Mar →
mirage	10–13	0.00	12%	3 Mar →
mirage	4–13	0.02	26%	3 Mar →
inferno	13–8	0.07	21%	3 Mar →
ancient	15–15	0.02	19%	2 Mar →
mirage	13–2	0.02	26%	2 Mar →
inferno	12–16	0.05	28%	2 Mar →
ancient	13–9	-0.01	16%	2 Mar →
dust2	13–1	0.12	19%	1 Mar →
overpass	3–13	-0.05	7%	28 Feb →
mirage	16–12	-0.01	22%	28 Feb →
anubis	13–16	-0.01	15%	28 Feb →
inferno	4–13	-0.12	18%	28 Feb →
inferno	13–11	-0.05	21%	28 Feb →
dust2	11–13	0.01	26%	26 Feb →
inferno	16–14	0.03	35%	26 Feb →
anubis	8–13	0.09	31%	26 Feb →
overpass	8–13	-0.02	21%	25 Feb →
inferno	9–13	-0.00	21%	25 Feb →
mirage	15–15	-0.03	19%	25 Feb →
mirage	13–2	0.03	23%	24 Feb →
inferno	8–13	-0.05	19%	23 Feb →
mirage	10–13	-0.03	8%	23 Feb →
mirage	11–13	-0.02	21%	23 Feb →
inferno	13–11	0.02	22%	23 Feb →
ancient	3–13	0.02	25%	23 Feb →
mirage	13–6	0.00	13%	22 Feb →
ancient	13–3	-0.01	18%	22 Feb →
mirage	7–13	-0.07	12%	22 Feb →