Anubis — CS2 Stats

76561197980030021[U:1:19764293]Steam profile ↗✓ No bans

1,922Tracked matches52%Win rate2025Tracked since

CSDB Rating3.6 Learning

Premier CS Rating19,490Purple band · top ~10.5% of ranked players (population est.)

CSDB Leaderboard#11616 of 25682 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim34

Positioning49

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWWLWWTLLWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim3.4

Aggression5.5

Utility3.7

Positioning4.9

Opening Duels1.8

Clutch4.0

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 79% playstyle similarity

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

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

Counter-strafing. Only 59% 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

Aim3.4

Positioning4.9

Utility3.7

Mechanics2.0

Opening Duels1.8

Win Impact5.6

Composite 3.6/10 (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 rating0.01−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.01

Reaction time480ms−17ms

first ⅓ avg 497ms → last ⅓ avg 480ms

Headshot accuracy10.3%−4.6%

first ⅓ avg 14.9% → last ⅓ avg 10.3%

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

0.21Best rating — inferno 8–13

13–0Biggest win — inferno

8Longest win streak

W2Current streak

6–1In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 61% over 18infernoWeakest map · 40% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	0.03
nuke	A	27	16–11	59%	0.06
inferno	C	20	8–12	40%	0.06
cache	A	18	11–7	61%	0.05
mirage	—	3	0–3	0%	0.02
anubis	—	2	1–1	50%	-0.00
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

163Matches

43%Win rate

1.16Avg K/D

84.0ADR

34%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	72	42%	1.11	15.7
Nuke	43	63%	1.47	19.4
Inferno	20	40%	1.08	15.3
Overpass	13	31%	0.91	15.1
Cache	10	10%	0.96	15.9
Mirage	2	0%	0.77	12.5
Ancient	2	0%	0.66	10.0
Anubis	1	0%	0.44	7.0

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.

9.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

29.8%Spray accuracy

58.9%Counter-strafing

14.4°Preaim

490msReaction time

30.1%T opening success

44.7%CT opening success

0.36Enemies flashed / flash

12.8%Flash assists

7.11HE damage / grenade

2.62Flashes / 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 14.4047° — 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 9.8717% — 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 0.364 — 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.

40% win rate across 20 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
nuke	13–4	-0.01	4%	29 Aug →
nuke	13–9	0.05	13%	29 Aug →
dust2	9–13	0.01	14%	29 Aug →
cache	13–7	-0.01	8%	29 Aug →
anubis	13–5	-0.06	6%	28 Aug →
dust2	12–12	0.01	8%	28 Aug →
nuke	6–13	0.01	8%	28 Aug →
inferno	2–13	-0.08	5%	28 Aug →
cache	13–2	-0.01	7%	28 Aug →
nuke	13–3	0.08	13%	27 Aug →
cache	3–5	0.08	13%	27 Aug →
dust2	13–8	0.06	13%	27 Aug →
dust2	8–13	0.01	15%	27 Aug →
inferno	2–8	0.11	10%	26 Aug →
inferno	9–13	0.06	14%	25 Aug →
inferno	13–2	0.08	7%	25 Aug →
cache	13–6	0.01	8%	25 Aug →
dust2	13–4	0.03	12%	24 Aug →
nuke	13–3	0.04	13%	24 Aug →
nuke	11–8	-0.04	5%	23 Aug →
nuke	13–9	-0.04	8%	22 Aug →
inferno	13–0	0.06	7%	22 Aug →
dust2	10–13	-0.02	8%	21 Aug →
dust2	3–13	-0.11	10%	21 Aug →
nuke	5–13	-0.04	8%	21 Aug →
dust2	2–13	-0.03	16%	20 Aug →
nuke	13–4	-0.00	7%	20 Aug →
inferno	7–13	-0.04	14%	20 Aug →
cache	4–13	-0.04	11%	20 Aug →
nuke	10–13	0.13	12%	19 Aug →
dust2	13–8	0.06	23%	19 Aug →
anubis	7–13	0.05	14%	19 Aug →
dust2	5–13	0.00	9%	19 Aug →
nuke	13–8	0.02	7%	19 Aug →
dust2	12–12	0.08	18%	18 Aug →
inferno	13–11	0.13	11%	18 Aug →
nuke	7–13	0.06	14%	18 Aug →
inferno	13–11	0.07	15%	18 Aug →
inferno	8–13	-0.05	18%	15 Aug →
cache	13–7	0.13	12%	15 Aug →
nuke	9–13	0.10	11%	15 Aug →
dust2	13–9	0.02	12%	15 Aug →
cache	13–0	0.04	17%	15 Aug →
inferno	8–13	0.17	23%	14 Aug →
dust2	13–4	0.04	25%	14 Aug →
cache	13–6	0.10	23%	14 Aug →
dust2	13–9	0.19	24%	14 Aug →
nuke	10–13	0.09	21%	14 Aug →
nuke	10–13	0.12	16%	14 Aug →
dust2	2–0	-0.08	0%	14 Aug →
inferno	5–13	0.00	23%	13 Aug →
nuke	3–13	-0.03	6%	13 Aug →
inferno	8–13	0.05	13%	13 Aug →
dust2	8–13	-0.03	20%	13 Aug →
train	9–13	0.00	9%	13 Aug →
nuke	13–11	0.11	8%	12 Aug →
dust2	4–13	0.08	10%	12 Aug →
inferno	13–8	0.01	13%	12 Aug →
nuke	12–12	0.10	4%	11 Aug →
cache	7–13	0.07	13%	11 Aug →
cache	8–13	0.05	35%	11 Aug →
nuke	13–2	0.07	14%	11 Aug →
inferno	13–4	0.15	19%	11 Aug →
inferno	7–13	0.03	15%	11 Aug →
nuke	13–8	0.17	9%	10 Aug →
dust2	16–13	0.09	13%	10 Aug →
mirage	12–12	0.03	26%	10 Aug →
nuke	13–8	0.10	20%	10 Aug →
dust2	13–6	0.03	19%	9 Aug →
nuke	13–9	0.11	19%	9 Aug →
dust2	13–11	0.09	15%	9 Aug →
cache	13–4	0.07	13%	9 Aug →
nuke	13–7	0.08	15%	9 Aug →
cache	8–1	0.09	11%	9 Aug →
dust2	13–10	0.01	14%	9 Aug →
nuke	4–13	-0.01	20%	9 Aug →
inferno	7–13	0.14	18%	8 Aug →
cache	13–7	0.04	15%	8 Aug →
nuke	13–4	0.17	10%	8 Aug →
dust2	13–9	0.01	17%	8 Aug →
inferno	9–13	-0.06	18%	8 Aug →
inferno	13–6	0.08	15%	7 Aug →
nuke	12–12	0.04	12%	7 Aug →
dust2	13–3	0.13	25%	7 Aug →
cache	7–13	0.03	16%	6 Aug →
inferno	13–8	0.02	16%	6 Aug →
dust2	13–9	0.10	10%	6 Aug →
mirage	6–13	-0.06	6%	6 Aug →
cache	13–7	0.08	17%	6 Aug →
dust2	13–11	0.07	25%	5 Aug →
nuke	13–10	0.06	10%	5 Aug →
cache	13–6	0.18	17%	4 Aug →
dust2	9–13	-0.03	3%	4 Aug →
dust2	9–13	0.04	14%	4 Aug →
mirage	10–13	0.09	11%	3 Aug →
cache	6–13	-0.07	8%	3 Aug →
inferno	8–13	0.21	17%	3 Aug →
cache	7–13	0.03	16%	3 Aug →
dust2	8–13	0.10	14%	2 Aug →
dust2	13–9	-0.01	15%	1 Aug →