NERB Enjoyer — CS2 Stats

76561198044968462[U:1:84702734]

390Tracked matches38%Win rate2020Tracked since

827Hours in CS1Hrs last 2 wks

CSDB Rating3.3 Learning

Ladder ranks via Leetify

Performance scores

Aim31

Positioning48

Utility14

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLWWLLLWLLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim3.1

Aggression5.5

Utility1.4

Positioning4.8

Opening Duels2.6

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 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim3.1

Positioning4.8

Utility1.4

Mechanics5.5

Opening Duels2.6

Win Impact1.0

Composite 3.3/10 (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-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time620ms−11ms

first ⅓ avg 630ms → last ⅓ avg 620ms

Headshot accuracy12.5%−1.7%

first ⅓ avg 14.1% → last ⅓ avg 12.5%

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

0.25Best rating — office 13–0

13–0Biggest win — office

6Longest win streak

4–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
office	D	35	12–23	34%	0.01
nuke	A	27	16–11	59%	0.03
dust2	C	8	3–5	38%	-0.01
inferno	D	8	1–7	13%	-0.01
overpass	A	5	3–2	60%	0.00
mirage	A	5	3–2	60%	0.00
vertigo	—	4	1–3	25%	-0.00
ancient	—	2	1–1	50%	-0.00
anubis	—	2	1–1	50%	-0.01
fachwerk	—	1	1–0	100%	0.05
cache	—	1	0–1	0%	-0.03
agency	—	1	0–1	0%	-0.07
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,399Lifetime kills

1.13K/D · Top 50% of tracked players

1,246Matches

39.7%Match win rate

36.5%Headshot %

16.4%Shot accuracy · Top 25% of tracked players

2,225MVPs

427Hours (in match)

938Bombs planted

190Bombs defused

Most-used weapons

AK-474,805

M4A4 / M4A1-S3,041

AWP2,341

Desert Eagle1,307

MP91,225

P2000 / USP-S1,111

Glock-181,084

Negev1,032

Sawed-Off890

P90626

Lifetime map wins

1,484nuke

1,446inferno

1,323office

1,014dust2

278train

230vertigo

68lake

63bank

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.

12.9%Headshot accuracy

28.7%Accuracy (enemy spotted)

34.8%Spray accuracy

74.6%Counter-strafing

14.2°Preaim

623msReaction time

32.7%T opening success

47.9%CT opening success

0.39Enemies flashed / flash

2.3%Flash assists

7.89HE damage / grenade

3.50Flashes / 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 14.1579° — 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 12.8612% — below the 15% 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 0.3926 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	11–13	-0.11	41%	29 Aug →
fachwerk	13–7	0.05	12%	14 Jul →
office	13–10	0.04	20%	14 Jul →
dust2	5–13	-0.04	22%	6 Jun →
cache	3–13	-0.03	7%	6 Jun →
office	11–13	0.06	15%	6 Jun →
overpass	13–11	0.07	14%	1 Sept →
overpass	11–13	0.01	16%	3 Aug →
inferno	8–13	-0.05	15%	3 Aug →
office	5–13	-0.04	6%	27 Jul →
inferno	13–6	0.09	5%	27 Jul →
nuke	10–13	0.11	18%	11 May →
agency	3–13	-0.07	19%	11 May →
office	6–13	0.01	9%	21 Apr →
office	12–12	0.00	9%	21 Apr →
train	0–13	-0.07	9%	17 Nov →
office	11–13	-0.01	17%	17 Nov →
vertigo	13–16	0.08	10%	5 Oct →
ancient	14–16	-0.02	13%	5 Oct →
office	3–13	-0.07	5%	28 Sept →
office	13–8	0.10	6%	28 Sept →
dust2	11–13	-0.01	11%	28 Sept →
dust2	10–13	-0.04	19%	27 Sept →
ancient	13–9	0.01	5%	14 Sept →
mirage	13–9	0.02	9%	14 Sept →
nuke	13–5	0.07	13%	14 Sept →
mirage	13–8	-0.05	13%	30 Aug →
office	13–11	-0.02	2%	30 Aug →
dust2	13–7	-0.04	0%	30 Aug →
inferno	5–13	-0.03	16%	4 Aug →
office	12–12	-0.03	8%	27 Jul →
nuke	8–13	-0.04	12%	29 Jun →
vertigo	6–13	-0.02	14%	29 Jun →
nuke	13–1	-0.02	4%	15 Jun →
nuke	3–13	0.03	7%	15 Jun →
dust2	13–8	0.06	8%	15 Jun →
dust2	4–13	-0.05	11%	15 Jun →
inferno	5–13	-0.06	9%	27 May →
mirage	0–13	-0.05	10%	27 May →
office	5–13	-0.03	3%	25 May →
nuke	13–8	-0.00	16%	25 May →
office	10–13	-0.03	15%	20 Apr →
anubis	13–3	0.02	15%	20 Apr →
nuke	13–5	0.01	12%	20 Apr →
nuke	13–9	0.02	15%	18 Feb →
office	13–5	-0.01	9%	17 Feb →
office	6–13	0.02	13%	17 Feb →
office	3–13	-0.05	13%	17 Feb →
office	8–13	-0.01	2%	6 Feb →
office	10–13	-0.02	2%	6 Feb →
inferno	8–13	0.01	9%	6 Feb →
inferno	10–13	0.02	13%	4 Feb →
mirage	5–13	-0.07	7%	4 Feb →
dust2	4–13	-0.07	13%	3 Feb →
nuke	6–13	-0.08	3%	3 Feb →
office	5–13	0.04	10%	1 Feb →
office	13–9	-0.01	15%	1 Feb →
office	13–0	0.25	6%	31 Jan →
nuke	13–8	0.03	12%	31 Jan →
dust2	13–1	0.11	14%	30 Jan →
office	8–13	-0.03	14%	30 Jan →
office	13–9	0.03	12%	30 Jan →
anubis	10–13	-0.04	13%	29 Jan →
office	9–2	0.10	14%	29 Jan →
office	10–13	-0.02	0%	28 Jan →
vertigo	2–13	-0.11	0%	28 Jan →
nuke	8–13	0.01	21%	28 Jan →
nuke	13–6	0.04	11%	27 Jan →
nuke	13–7	0.09	21%	27 Jan →
nuke	13–7	0.03	19%	26 Jan →
office	13–7	0.00	10%	24 Jan →
nuke	5–13	0.00	9%	24 Jan →
nuke	8–9	-0.01	17%	23 Jan →
office	5–13	-0.01	10%	23 Jan →
nuke	13–4	0.09	17%	22 Jan →
nuke	8–13	0.09	13%	22 Jan →
office	13–10	0.09	23%	22 Jan →
office	11–13	0.04	13%	17 Jan →
nuke	13–10	-0.03	14%	17 Jan →
nuke	11–13	0.02	18%	13 Jan →
office	13–3	0.15	13%	13 Jan →
nuke	13–6	0.14	13%	11 Jan →
nuke	13–3	0.08	28%	10 Jan →
nuke	13–5	0.11	16%	8 Jan →
office	2–13	-0.05	10%	8 Jan →
nuke	13–5	0.09	7%	8 Jan →
nuke	3–13	-0.03	15%	25 Dec →
vertigo	8–1	0.04	18%	25 Dec →
office	3–13	-0.07	29%	18 Dec →
mirage	13–5	0.16	21%	5 Dec →
nuke	12–16	-0.03	0%	19 Sept →
inferno	9–13	-0.05	9%	1 Sept →
overpass	13–11	-0.04	0%	1 Sept →
inferno	3–16	-0.02	14%	13 Aug →
overpass	16–10	-0.04	12%	13 Aug →
office	6–9	-0.00	25%	13 Aug →
office	8–8	0.08	8%	13 Aug →
office	16–6	0.03	4%	7 Aug →
overpass	8–8	-0.01	19%	4 Aug →
nuke	5–9	0.00	13%	4 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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