Anim4l_ — CS2 Stats

76561198120880060[U:1:160614332]

1,328Tracked matches57%Win rate2020Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

FaceitLevel 8 · 1,275 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning49

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLWLWLLLLW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.7

Aggression5.3

Utility5.4

Positioning4.9

Opening Duels1.9

Clutch3.4

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 91% playstyle similarity

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

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

Areas to improve

Counter-strafing. Only 70% 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

Aim7.7

Positioning4.9

Utility5.4

Mechanics4.4

Opening Duels1.9

Win Impact7.2

Composite 5.1/10 (Developing), 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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time554ms−51ms

first ⅓ avg 605ms → last ⅓ avg 554ms

Headshot accuracy16.7%−2.7%

first ⅓ avg 19.3% → last ⅓ avg 16.7%

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.

Highlights

0.15Best rating — ancient 13–8

13–2Biggest win — overpass

7Longest win streak

5–15In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cache_bBest map · 75% over 8ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	20	10–10	50%	0.02
cache	B	14	7–7	50%	0.01
ancient	C	13	5–8	38%	0.03
dust2	A	12	7–5	58%	0.01
anubis	A	12	7–5	58%	0.02
nuke	A	11	7–4	64%	0.03
cache_b	S	8	6–2	75%	0.06
overpass	—	4	1–3	25%	0.06
vertigo	—	3	0–3	0%	-0.01
mirage	—	2	1–1	50%	-0.01
debris	—	1	0–1	0%	-0.16

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,128Matches

51%Win rate

1.18Avg K/D

83.1ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	53	49%	1.15	16.2
Dust2	45	49%	1.02	14.6
Anubis	42	50%	1.15	18.8
Nuke	41	54%	1.24	17.9
Ancient	38	53%	1.17	16.8
Mirage	36	39%	0.98	15.0
Cache	14	43%	1.15	20.3
Overpass	8	62%	1.34	17.3

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.

16.3%Headshot accuracy

39.6%Accuracy (enemy spotted)

41.9%Spray accuracy

69.7%Counter-strafing

8.6°Preaim

549msReaction time

32.7%T opening success

42.9%CT opening success

0.48Enemies flashed / flash

7.2%Flash assists

11.99HE damage / grenade

12.10Flashes / 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.

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 0.4846 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.668% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	0.04	13%	27 Aug →
inferno	14–16	0.10	18%	25 Aug →
inferno	13–10	0.02	11%	23 Aug →
inferno	13–16	-0.02	15%	22 Aug →
cache	13–9	0.01	25%	21 Aug →
vertigo	16–19	-0.04	21%	18 Aug →
dust2	11–13	0.04	12%	15 Aug →
cache	4–13	0.01	21%	15 Aug →
anubis	10–13	-0.01	13%	14 Aug →
inferno	19–15	0.03	11%	12 Aug →
ancient	13–6	0.04	24%	12 Aug →
dust2	13–8	0.07	13%	12 Aug →
nuke	13–10	0.03	17%	10 Aug →
dust2	13–10	-0.06	12%	10 Aug →
inferno	13–11	-0.07	13%	10 Aug →
anubis	13–7	0.06	17%	10 Aug →
ancient	8–13	-0.04	13%	10 Aug →
inferno	7–13	0.03	12%	10 Aug →
inferno	13–8	0.02	18%	9 Aug →
dust2	9–13	-0.05	24%	9 Aug →
anubis	13–10	0.01	16%	9 Aug →
nuke	13–5	0.06	24%	9 Aug →
inferno	13–8	-0.00	9%	9 Aug →
nuke	8–13	-0.03	12%	7 Aug →
anubis	16–13	0.02	17%	6 Aug →
cache	2–13	-0.05	17%	6 Aug →
ancient	7–13	-0.03	14%	2 Aug →
nuke	13–10	0.09	23%	28 Jul →
inferno	9–13	0.02	21%	28 Jul →
cache	13–4	0.04	17%	28 Jul →
cache	11–13	-0.03	22%	28 Jul →
inferno	3–13	0.00	23%	24 Jul →
ancient	13–8	0.15	13%	24 Jul →
anubis	16–14	-0.01	10%	23 Jul →
nuke	7–9	0.02	17%	23 Jul →
debris	2–9	-0.16	25%	23 Jul →
cache	6–13	-0.03	16%	23 Jul →
dust2	13–10	0.05	30%	23 Jul →
mirage	16–13	-0.01	21%	23 Jul →
ancient	4–13	-0.03	15%	21 Jul →
nuke	13–9	0.03	17%	9 Jul →
cache	20–22	0.01	10%	9 Jul →
dust2	13–9	0.04	14%	9 Jul →
mirage	6–13	-0.01	4%	9 Jul →
cache	13–10	0.02	18%	9 Jul →
nuke	13–4	0.07	16%	9 Jul →
inferno	11–13	-0.01	17%	23 Jun →
dust2	4–13	-0.08	17%	22 Jun →
inferno	9–13	0.00	17%	22 Jun →
nuke	13–5	0.07	19%	22 Jun →
ancient	5–13	-0.05	16%	16 Jun →
ancient	13–7	0.02	18%	16 Jun →
cache	4–13	-0.04	12%	16 Jun →
nuke	8–13	0.04	20%	16 Jun →
dust2	13–3	-0.00	18%	11 Jun →
anubis	11–13	0.02	21%	5 Jun →
anubis	13–7	0.05	14%	5 Jun →
overpass	13–2	0.10	8%	5 Jun →
anubis	16–14	-0.03	16%	5 Jun →
inferno	7–13	0.01	17%	4 Jun →
cache	20–22	0.01	11%	2 Jun →
ancient	11–13	0.00	19%	22 May →
inferno	13–5	0.01	20%	22 May →
inferno	13–11	0.00	13%	18 May →
cache	19–16	0.06	20%	12 May →
ancient	9–13	-0.00	17%	10 May →
cache	13–4	-0.03	16%	3 May →
inferno	7–13	0.11	22%	2 May →
vertigo	11–13	-0.02	22%	1 May →
cache	9–2	0.15	21%	1 May →
ancient	13–9	0.10	13%	24 Apr →
cache_b	13–8	0.09	17%	23 Apr →
cache_b	11–13	0.12	15%	23 Apr →
dust2	8–13	-0.05	18%	15 Apr →
cache_b	13–9	0.08	19%	15 Apr →
ancient	11–13	0.05	16%	14 Apr →
anubis	13–2	0.02	8%	14 Apr →
cache_b	13–8	0.05	20%	14 Apr →
dust2	13–6	0.04	14%	12 Apr →
anubis	11–13	0.01	20%	12 Apr →
inferno	13–5	0.07	20%	12 Apr →
dust2	8–13	-0.00	19%	12 Apr →
anubis	8–13	-0.00	13%	11 Apr →
overpass	8–13	0.07	21%	11 Apr →
overpass	10–13	0.03	21%	11 Apr →
vertigo	10–13	0.02	20%	10 Apr →
ancient	11–13	0.11	14%	10 Apr →
dust2	13–4	0.07	31%	9 Apr →
overpass	6–13	0.05	13%	9 Apr →
cache_b	13–8	0.01	22%	9 Apr →
inferno	13–6	0.08	31%	8 Apr →
nuke	13–7	0.03	24%	8 Apr →
nuke	8–13	-0.05	17%	4 Apr →
inferno	13–10	-0.06	14%	4 Apr →
ancient	16–14	0.02	20%	4 Apr →
cache_b	12–16	-0.07	26%	2 Apr →
cache_b	16–13	0.10	23%	31 Mar →
inferno	11–13	0.05	29%	31 Mar →
anubis	8–13	0.06	15%	31 Mar →
cache_b	13–8	0.10	19%	31 Mar →