Onelife.Hoffi- — CS2 Stats

76561198011181750[U:1:50916022]Steam profile ↗✓ No bans

6,484Tracked matches48%Win rate2020Tracked since

CSDB Rating3.6 Learning

Premier CS Rating7,004Light Blue band · top ~69.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning46

Utility43

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateLLTLWWWLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Aim3.3

Aggression5.2

Utility4.3

Positioning4.6

Opening Duels1.9

Clutch0.0

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 78% 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

Reaction time. 634ms 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

Aim3.3

Positioning4.6

Utility4.3

Mechanics5.1

Opening Duels1.9

Win Impact4.4

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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time630ms−38ms

first ⅓ avg 667ms → last ⅓ avg 630ms

Headshot accuracy9.3%−0.3%

first ⅓ avg 9.6% → last ⅓ avg 9.3%

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

0.12Best rating — inferno 13–4

13–1Biggest win — nuke

4Longest win streak

L2Current streak

10–8In matches decided by ≤2 rounds

19Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	28	9–19	32%	-0.03
inferno	A	23	14–9	61%	-0.01
ancient	D	22	6–16	27%	-0.03
anubis	D	15	3–12	20%	-0.05
cache	S	6	4–2	67%	-0.00
dust2	—	3	1–2	33%	0.03
mirage	—	3	2–1	67%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches

45%Win rate

0.66Avg K/D

61.7ADR

30%Headshot %

Clutches & streaks

15%1v1 clutch win

12%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	11	36%	0.65	9.8
Nuke	10	30%	0.68	10.2
Ancient	5	40%	0.52	10.8
Anubis	4	0%	0.50	9.5
Dust2	2	0%	0.64	9.5
Cache	1	0%	0.47	7.0
Overpass	1	0%	0.13	2.0
Vertigo	1	100%	0.73	11.0

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.

9.5%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.3%Spray accuracy

72.8%Counter-strafing

14.0°Preaim

634msReaction time

31.8%T opening success

43.6%CT opening success

0.50Enemies flashed / flash

7.6%Flash assists

11.20HE damage / grenade

2.49Flashes / 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 13.9959° — 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 9.5466% — 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 0.4998 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	2–10	-0.02	6%	30 Aug →
inferno	4–13	-0.10	8%	30 Aug →
ancient	15–15	0.00	12%	30 Aug →
nuke	7–13	-0.10	10%	29 Aug →
nuke	13–5	-0.02	6%	27 Aug →
ancient	13–8	-0.01	16%	27 Aug →
cache	13–8	-0.02	8%	27 Aug →
inferno	6–13	-0.01	8%	27 Aug →
nuke	11–13	0.00	12%	26 Aug →
anubis	4–13	-0.08	0%	26 Aug →
dust2	13–4	0.08	7%	26 Aug →
inferno	13–11	0.07	9%	25 Aug →
dust2	9–13	0.06	14%	25 Aug →
nuke	13–11	-0.05	14%	24 Aug →
inferno	13–10	-0.04	9%	24 Aug →
ancient	13–11	0.04	7%	24 Aug →
cache	13–11	-0.01	12%	24 Aug →
anubis	2–13	-0.10	21%	24 Aug →
mirage	13–5	0.11	15%	24 Aug →
ancient	10–13	0.03	10%	24 Aug →
anubis	3–13	-0.11	8%	24 Aug →
ancient	11–13	-0.03	6%	24 Aug →
nuke	11–13	0.00	4%	23 Aug →
nuke	13–4	0.02	11%	23 Aug →
inferno	13–5	-0.02	15%	23 Aug →
ancient	8–13	-0.08	9%	23 Aug →
nuke	11–13	-0.05	7%	23 Aug →
ancient	8–13	-0.07	9%	23 Aug →
ancient	13–11	0.00	10%	23 Aug →
inferno	13–7	0.04	3%	23 Aug →
anubis	16–13	0.01	12%	23 Aug →
nuke	15–15	-0.01	4%	23 Aug →
anubis	3–13	-0.15	4%	23 Aug →
dust2	10–13	-0.06	11%	22 Aug →
nuke	10–13	-0.07	6%	22 Aug →
ancient	9–13	0.03	12%	21 Aug →
ancient	11–13	-0.04	9%	21 Aug →
inferno	16–14	-0.01	5%	21 Aug →
ancient	9–13	-0.05	8%	21 Aug →
nuke	13–9	-0.03	0%	21 Aug →
inferno	1–13	-0.03	15%	21 Aug →
anubis	0–13	-0.05	8%	21 Aug →
cache	15–15	0.01	5%	21 Aug →
cache	13–11	-0.03	20%	21 Aug →
cache	5–13	-0.03	10%	20 Aug →
nuke	5–13	-0.04	3%	20 Aug →
nuke	7–13	-0.07	15%	20 Aug →
inferno	13–4	-0.07	8%	20 Aug →
inferno	13–11	-0.08	2%	20 Aug →
nuke	4–13	-0.08	6%	20 Aug →
inferno	9–13	0.00	15%	20 Aug →
nuke	7–13	-0.01	12%	20 Aug →
anubis	15–15	-0.05	13%	20 Aug →
nuke	13–7	-0.07	3%	19 Aug →
anubis	5–13	-0.03	11%	19 Aug →
ancient	16–12	-0.04	14%	19 Aug →
inferno	13–11	-0.05	8%	19 Aug →
nuke	12–16	-0.08	4%	18 Aug →
inferno	13–4	0.02	17%	18 Aug →
nuke	13–8	0.02	10%	18 Aug →
mirage	16–14	0.03	11%	18 Aug →
anubis	13–16	0.10	12%	18 Aug →
ancient	13–8	0.05	18%	18 Aug →
nuke	9–13	-0.01	7%	18 Aug →
nuke	7–13	-0.01	8%	18 Aug →
ancient	13–6	0.03	21%	18 Aug →
ancient	7–13	-0.04	16%	18 Aug →
inferno	11–13	-0.06	8%	18 Aug →
cache	13–3	0.08	13%	17 Aug →
inferno	13–5	0.04	7%	17 Aug →
inferno	16–13	0.03	14%	17 Aug →
inferno	13–4	0.12	18%	17 Aug →
ancient	5–13	-0.03	5%	17 Aug →
nuke	13–8	-0.04	5%	17 Aug →
nuke	3–13	0.01	7%	17 Aug →
mirage	2–13	-0.05	8%	17 Aug →
inferno	9–13	0.08	7%	16 Aug →
anubis	16–13	-0.01	10%	16 Aug →
nuke	15–15	-0.01	11%	16 Aug →
inferno	3–13	-0.07	12%	16 Aug →
inferno	10–13	-0.03	21%	16 Aug →
nuke	7–13	-0.06	13%	16 Aug →
anubis	12–16	-0.03	6%	16 Aug →
anubis	3–13	-0.06	16%	15 Aug →
ancient	15–15	-0.05	13%	15 Aug →
nuke	15–15	0.00	18%	14 Aug →
nuke	13–1	-0.06	0%	14 Aug →
ancient	7–13	-0.06	4%	14 Aug →
nuke	10–13	-0.03	2%	14 Aug →
ancient	8–13	-0.06	5%	14 Aug →
ancient	13–16	-0.10	9%	14 Aug →
ancient	6–13	-0.09	5%	13 Aug →
inferno	13–5	-0.04	9%	13 Aug →
inferno	13–9	0.00	10%	13 Aug →
nuke	13–7	-0.03	16%	13 Aug →
nuke	11–13	-0.04	8%	13 Aug →
anubis	16–13	-0.07	3%	13 Aug →
ancient	5–13	-0.05	10%	13 Aug →
inferno	6–13	-0.08	9%	12 Aug →
anubis	14–16	-0.03	14%	12 Aug →