AnGeLTANK_ — CS2 Stats

76561198001495726[U:1:41229998]

2,249Tracked matches66%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating28,527Top 5% of 819 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning48

Utility63

0–100 skill scores via Leetify.

Recent form

HOT71–27–2Last 10071%Win rateWWWWWLWTWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression7.9

Utility6.3

Positioning4.8

Opening Duels2.7

Sharp aimerEffective flashes

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 b1t 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

Aim8.7

Positioning4.8

Utility6.3

Mechanics6.7

Opening Duels2.7

Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time529ms−36ms

first ⅓ avg 564ms → last ⅓ avg 529ms

Headshot accuracy26.7%−0.8%

first ⅓ avg 27.5% → last ⅓ avg 26.7%

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

0.14Best rating — mirage 13–2

13–0Biggest win — mirage

17Longest win streak

W5Current streak

9–3In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 84% over 31cacheWeakest map · 60% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	31	26–5	84%	0.01
inferno	S	26	18–8	69%	-0.00
mirage	A	18	11–7	61%	0.03
cache	A	15	9–6	60%	0.01
ancient	S	10	7–3	70%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

166Matches

51%Win rate

1.09Avg K/D

—ADR

57%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	0%	0.94	17.0
Vertigo	1	100%	1.12	18.0

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.

26.9%Headshot accuracy

31.9%Accuracy (enemy spotted)

36.7%Spray accuracy

80.3%Counter-strafing

6.8°Preaim

510msReaction time

38.1%T opening success

43.7%CT opening success

0.71Enemies flashed / flash

7.6%Flash assists

10.28HE damage / grenade

7.78Flashes / 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
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 38.0711% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.01	20%	24 Aug →
mirage	13–4	0.03	21%	23 Aug →
dust2	13–9	-0.01	21%	23 Aug →
inferno	13–4	0.02	30%	23 Aug →
mirage	13–0	0.09	34%	23 Aug →
inferno	14–16	-0.01	20%	21 Aug →
dust2	13–7	-0.02	48%	21 Aug →
mirage	15–15	0.02	26%	18 Aug →
inferno	13–4	0.11	15%	18 Aug →
dust2	13–9	0.04	29%	17 Aug →
cache	5–13	0.00	29%	17 Aug →
dust2	13–8	0.07	27%	17 Aug →
cache	4–13	-0.03	26%	16 Aug →
mirage	13–9	-0.00	25%	16 Aug →
dust2	13–7	0.08	32%	16 Aug →
mirage	13–3	0.03	31%	16 Aug →
inferno	7–13	-0.04	28%	15 Aug →
dust2	5–13	-0.01	19%	15 Aug →
ancient	13–8	-0.00	22%	15 Aug →
dust2	10–13	-0.02	25%	15 Aug →
mirage	7–13	-0.02	30%	15 Aug →
inferno	13–7	0.00	23%	15 Aug →
ancient	13–3	0.03	19%	15 Aug →
dust2	13–8	-0.01	29%	11 Aug →
mirage	8–13	0.01	35%	11 Aug →
inferno	12–16	-0.03	31%	11 Aug →
cache	13–2	0.09	25%	10 Aug →
dust2	13–8	0.04	28%	10 Aug →
inferno	13–7	-0.05	33%	10 Aug →
mirage	6–13	-0.02	27%	9 Aug →
dust2	13–6	0.04	35%	9 Aug →
ancient	13–5	0.02	12%	9 Aug →
inferno	7–13	-0.01	23%	9 Aug →
cache	10–13	-0.00	30%	4 Aug →
mirage	7–13	0.02	27%	4 Aug →
dust2	13–2	-0.03	38%	4 Aug →
inferno	13–10	-0.01	24%	2 Aug →
mirage	11–13	0.02	15%	2 Aug →
dust2	13–5	-0.04	18%	2 Aug →
inferno	13–4	-0.04	14%	31 Jul →
mirage	13–9	0.05	12%	31 Jul →
ancient	13–8	0.07	21%	31 Jul →
inferno	1–13	-0.06	27%	31 Jul →
inferno	13–7	0.01	22%	29 Jul →
dust2	16–14	0.01	31%	26 Jul →
dust2	13–8	-0.02	31%	24 Jul →
cache	14–16	0.01	15%	22 Jul →
dust2	13–8	0.04	38%	22 Jul →
cache	13–9	0.03	28%	19 Jul →
dust2	13–6	0.01	19%	19 Jul →
ancient	8–13	-0.10	21%	19 Jul →
inferno	8–13	0.00	38%	16 Jul →
inferno	13–2	0.06	33%	16 Jul →
cache	13–11	-0.02	24%	16 Jul →
cache	13–7	0.02	20%	15 Jul →
dust2	13–8	0.03	41%	15 Jul →
dust2	13–10	-0.05	50%	15 Jul →
ancient	13–7	-0.01	8%	14 Jul →
cache	9–13	-0.07	18%	14 Jul →
inferno	13–8	0.06	25%	14 Jul →
cache	13–1	0.04	22%	14 Jul →
dust2	16–14	0.01	24%	14 Jul →
inferno	13–6	-0.03	11%	13 Jul →
inferno	13–3	-0.00	29%	13 Jul →
cache	13–0	0.05	32%	13 Jul →
ancient	13–11	-0.02	22%	13 Jul →
cache	13–11	0.03	21%	13 Jul →
dust2	13–4	-0.01	37%	12 Jul →
cache	13–9	-0.07	28%	12 Jul →
dust2	13–11	0.03	36%	12 Jul →
ancient	13–3	0.06	33%	12 Jul →
mirage	13–6	0.06	27%	12 Jul →
inferno	13–4	0.03	26%	12 Jul →
dust2	13–11	0.01	41%	11 Jul →
cache	13–1	0.05	33%	11 Jul →
inferno	13–4	-0.06	19%	11 Jul →
cache	12–16	-0.01	20%	11 Jul →
mirage	9–13	-0.02	28%	5 Jul →
inferno	13–1	0.13	19%	5 Jul →
inferno	13–8	0.05	22%	5 Jul →
dust2	13–16	-0.01	26%	14 Jun →
mirage	13–4	0.09	25%	14 Jun →
dust2	3–13	0.01	19%	13 Jun →
inferno	9–13	-0.05	24%	13 Jun →
mirage	13–10	0.05	20%	12 Jun →
dust2	13–7	0.02	28%	12 Jun →
inferno	13–11	0.03	22%	11 Jun →
mirage	13–2	0.06	30%	11 Jun →
dust2	15–15	-0.03	25%	9 Jun →
mirage	13–2	0.14	26%	9 Jun →
inferno	13–7	-0.05	13%	9 Jun →
inferno	13–8	-0.03	31%	8 Jun →
ancient	7–13	-0.05	21%	8 Jun →
dust2	13–9	0.01	36%	8 Jun →
dust2	13–6	0.02	33%	27 May →
dust2	13–10	-0.02	22%	27 May →
mirage	13–11	-0.04	38%	26 May →
ancient	4–13	-0.03	16%	26 May →
dust2	13–5	0.06	54%	26 May →
inferno	10–13	-0.02	28%	24 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches17-Win Streak

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