Neevva — CS2 Stats

76561198065883186[U:1:105617458]

341Tracked matches52%Win rate2025Tracked since

1,079Hours in CS20Hrs last 2 wks

CSDB Rating6.0 Solid

Ladder ranks via Leetify

Performance scores

Aim53

Positioning67

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY63–32–5Last 10063%Win rateLTLWLWWWLL

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Aim5.3

Aggression8.7

Utility7.3

Positioning6.7

Opening Duels5.3

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 jL 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim5.3

Positioning6.7

Utility7.3

Mechanics6.2

Opening Duels5.3

Win Impact5.6

Composite 6.0/10 (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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time597ms−57ms

first ⅓ avg 654ms → last ⅓ avg 597ms

Headshot accuracy11.1%+0.5%

first ⅓ avg 10.5% → last ⅓ avg 11.1%

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

0.20Best rating — mirage 13–0

13–0Biggest win — dust2

9Longest win streak

3–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 75% over 12mirageWeakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	62	42–20	68%	0.05
mirage	B	17	8–9	47%	0.04
inferno	S	12	9–3	75%	0.03
ancient	—	3	1–2	33%	0.06
nuke	—	2	2–0	100%	0.13
anubis	—	2	1–1	50%	0.04
overpass	—	1	0–1	0%	0.05
cache	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,518Lifetime kills

1.61K/D · Top 5% of tracked players

803Matches

50.4%Match win rate · Top 25% of tracked players

35.4%Headshot %

5.4%Shot accuracy

1,929MVPs

349Hours (in match)

526Bombs planted

190Bombs defused

Most-used weapons

AK-475,093

M4A4 / M4A1-S2,386

AWP1,516

P2000 / USP-S592

Desert Eagle565

Galil AR559

Glock-18534

MP9477

P90449

FAMAS341

Lifetime map wins

3,246dust2

815inferno

387nuke

154train

25cbble

19vertigo

14aztec

7lake

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.

10.9%Headshot accuracy

35.7%Accuracy (enemy spotted)

35.4%Spray accuracy

77.7%Counter-strafing

11.6°Preaim

590msReaction time

40.6%T opening success

61.7%CT opening success

0.70Enemies flashed / flash

14.2%Flash assists

11.48HE damage / grenade

17.91Flashes / 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 10.8519% — below the 15% mark we flag
Aim Training →

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.

47% win rate across 17 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
dust2	5–13	0.08	7%	28 Aug →
dust2	12–12	0.04	13%	28 Aug →
dust2	10–13	0.13	14%	28 Aug →
dust2	13–8	0.05	15%	24 Aug →
dust2	6–13	0.06	13%	22 Aug →
dust2	13–9	0.11	3%	9 Aug →
dust2	13–5	0.11	13%	9 Aug →
nuke	13–5	0.15	7%	9 Aug →
dust2	9–13	0.06	13%	8 Aug →
dust2	11–13	-0.02	10%	8 Aug →
overpass	10–13	0.05	13%	27 Jul →
inferno	10–13	0.01	13%	20 Jul →
dust2	3–13	0.01	14%	11 Jul →
dust2	13–10	0.01	12%	11 Jul →
dust2	1–13	-0.02	6%	11 Jul →
dust2	13–5	0.05	8%	9 Jul →
inferno	13–3	0.05	7%	8 Jul →
dust2	13–5	0.03	5%	8 Jul →
dust2	13–8	0.02	10%	7 Jul →
dust2	13–5	0.17	7%	5 Jul →
dust2	11–13	0.03	9%	5 Jul →
inferno	7–13	0.03	14%	4 Jul →
mirage	10–13	-0.02	16%	4 Jul →
dust2	13–8	0.09	8%	27 Jun →
inferno	13–5	0.04	11%	27 Jun →
nuke	13–3	0.11	11%	18 Jun →
mirage	5–13	0.06	9%	17 Jun →
dust2	13–2	0.06	17%	17 Jun →
dust2	6–13	0.04	11%	17 Jun →
dust2	13–9	0.05	13%	13 Jun →
anubis	13–16	0.02	9%	10 Jun →
dust2	6–13	0.06	20%	10 Jun →
dust2	13–0	0.09	14%	10 Jun →
mirage	13–9	0.07	12%	7 Jun →
mirage	13–8	-0.01	6%	7 Jun →
mirage	9–13	-0.01	2%	6 Jun →
inferno	13–10	0.09	7%	6 Jun →
dust2	4–13	0.08	5%	6 Jun →
dust2	13–7	-0.02	6%	5 Jun →
dust2	13–6	0.06	2%	3 Jun →
inferno	13–5	-0.01	10%	3 Jun →
dust2	12–12	0.07	15%	2 Jun →
inferno	13–4	0.04	8%	2 Jun →
dust2	13–6	0.05	10%	31 May →
dust2	13–1	0.01	12%	29 May →
mirage	11–13	0.01	11%	28 May →
ancient	6–13	0.05	8%	28 May →
dust2	10–13	0.00	18%	28 May →
dust2	13–8	0.02	20%	28 May →
dust2	13–2	0.13	7%	26 May →
dust2	13–9	0.08	15%	26 May →
anubis	13–2	0.05	9%	26 May →
mirage	10–13	0.05	10%	26 May →
mirage	0–7	-0.03	8%	26 May →
inferno	5–13	0.10	14%	22 May →
dust2	13–6	-0.07	13%	22 May →
dust2	13–7	0.11	14%	19 May →
dust2	13–6	0.15	16%	19 May →
mirage	12–12	-0.04	5%	14 May →
dust2	10–13	-0.00	19%	14 May →
dust2	15–15	0.08	8%	13 May →
dust2	13–3	-0.07	19%	12 May →
mirage	13–0	0.20	15%	12 May →
mirage	13–11	0.05	14%	12 May →
dust2	13–7	-0.05	11%	12 May →
mirage	7–13	0.05	19%	8 May →
dust2	13–7	0.14	18%	8 May →
mirage	12–12	0.13	22%	7 May →
cache	5–8	0.02	18%	7 May →
dust2	13–11	0.12	13%	6 May →
dust2	13–6	0.00	13%	6 May →
dust2	16–13	0.02	8%	5 May →
mirage	13–4	0.04	4%	4 May →
inferno	13–9	0.04	11%	28 Apr →
dust2	13–11	0.12	13%	28 Apr →
dust2	13–4	0.04	4%	27 Apr →
dust2	13–1	0.08	5%	27 Apr →
dust2	11–13	0.06	14%	26 Apr →
dust2	13–8	-0.01	10%	20 Apr →
inferno	13–5	0.03	12%	20 Apr →
dust2	13–0	0.07	12%	16 Apr →
mirage	13–6	0.06	15%	14 Apr →
mirage	3–0	0.03	0%	14 Apr →
dust2	13–6	0.02	7%	13 Apr →
dust2	13–10	0.05	8%	8 Apr →
dust2	13–10	0.08	10%	6 Apr →
dust2	13–4	0.04	9%	6 Apr →
dust2	10–13	0.01	12%	31 Mar →
ancient	11–13	0.08	3%	28 Mar →
ancient	13–9	0.05	17%	26 Mar →
dust2	13–10	0.01	19%	26 Mar →
inferno	11–6	-0.01	10%	25 Mar →
dust2	6–13	-0.04	10%	25 Mar →
dust2	13–10	0.03	10%	24 Mar →
dust2	13–9	-0.04	9%	23 Mar →
dust2	13–5	0.06	14%	19 Mar →
mirage	5–0	-0.02	0%	19 Mar →
dust2	13–6	0.12	7%	17 Mar →
inferno	13–4	0.00	15%	17 Mar →
dust2	6–13	0.03	16%	17 Mar →