𝙨𝙖𝙗𝙚𝙏 #ezthrow — CS2 Stats

IN76561198370836925[U:1:410571197]Steam profile ↗✓ No bans

2,827Tracked matches68%Win rate2022Tracked since

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating25,484Top 25% of 44,590 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#5759 of 60003 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning52

Utility62

0–100 skill scores via Leetify.

Recent form

HOT55–38–7Last 10055%Win rateWWWWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

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

Aim7.4

Aggression6.1

Utility6.2

Positioning5.2

Opening Duels2.2

Clutch3.2

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 561ms 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

Aim7.4

Positioning5.2

Utility6.2

Mechanics6.0

Opening Duels2.2

Win Impact10.0

Composite 6.6/10 (Solid), 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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time563ms−75ms

first ⅓ avg 638ms → last ⅓ avg 563ms

Headshot accuracy24.1%+1.0%

first ⅓ avg 23.2% → last ⅓ avg 24.1%

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

0.11Best rating — anubis 2–0

13–0Biggest win — mirage

12Longest win streak

W12Current streak

10–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 78% over 9anubisWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	12–13	48%	-0.02
mirage	B	24	12–12	50%	-0.01
ancient	A	19	11–8	58%	0.01
anubis	B	13	6–7	46%	0.01
dust2	S	9	7–2	78%	-0.01
cache	S	6	4–2	67%	0.02
nuke	—	4	3–1	75%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches

56%Win rate

1.02Avg K/D

79.6ADR

57%Headshot %

Clutches & streaks

36%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	54%	1.01	15.9
Dust2	23	57%	0.93	14.4
Ancient	21	62%	1.19	16.1
Inferno	15	53%	1.10	15.2
Anubis	10	40%	0.81	13.9
Nuke	8	62%	0.95	18.3
Train	3	33%	0.98	13.3
Cache	1	100%	1.05	20.0

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.

23.3%Headshot accuracy

34.4%Accuracy (enemy spotted)

36.4%Spray accuracy

76.9%Counter-strafing

10.4°Preaim

561msReaction time

37.7%T opening success

39.7%CT opening success

0.66Enemies flashed / flash

8.1%Flash assists

9.30HE damage / grenade

11.41Flashes / 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 37.7098% — below the 40% mark we flag

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.

46% win rate across 13 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
mirage	13–11	-0.06	15%	30 Aug →
inferno	13–9	0.03	24%	30 Aug →
ancient	13–8	0.01	32%	30 Aug →
anubis	13–5	0.01	21%	30 Aug →
ancient	13–7	-0.01	18%	30 Aug →
cache	13–11	0.10	27%	29 Aug →
dust2	13–10	-0.04	17%	29 Aug →
ancient	8–1	0.07	38%	29 Aug →
dust2	13–11	-0.02	14%	28 Aug →
mirage	13–9	-0.04	29%	28 Aug →
ancient	13–8	0.01	24%	28 Aug →
inferno	13–4	0.02	35%	28 Aug →
inferno	15–15	-0.01	28%	27 Aug →
anubis	11–13	-0.01	13%	27 Aug →
dust2	11–13	-0.03	15%	27 Aug →
mirage	13–10	0.06	21%	27 Aug →
inferno	13–7	-0.04	15%	27 Aug →
anubis	8–13	0.01	33%	27 Aug →
anubis	7–13	-0.02	5%	26 Aug →
cache	16–12	0.01	19%	26 Aug →
dust2	13–9	-0.00	25%	26 Aug →
inferno	11–13	-0.01	31%	26 Aug →
dust2	13–9	-0.01	16%	26 Aug →
inferno	8–13	0.01	28%	25 Aug →
mirage	16–12	-0.03	21%	25 Aug →
mirage	5–13	-0.08	23%	25 Aug →
inferno	15–15	-0.04	26%	25 Aug →
mirage	8–13	0.01	31%	25 Aug →
ancient	13–5	0.05	31%	25 Aug →
inferno	6–13	-0.03	33%	24 Aug →
cache	15–15	0.01	21%	24 Aug →
inferno	13–8	-0.04	31%	24 Aug →
mirage	13–8	-0.01	31%	24 Aug →
mirage	9–13	0.02	9%	23 Aug →
ancient	9–13	-0.06	28%	23 Aug →
anubis	1–13	-0.04	18%	23 Aug →
mirage	1–13	-0.03	13%	23 Aug →
inferno	13–4	0.02	38%	23 Aug →
ancient	13–4	0.03	29%	23 Aug →
inferno	11–13	-0.03	43%	23 Aug →
ancient	13–7	0.03	36%	23 Aug →
inferno	10–13	-0.04	41%	22 Aug →
mirage	11–13	-0.03	33%	22 Aug →
ancient	13–7	0.09	17%	22 Aug →
mirage	13–11	0.03	19%	22 Aug →
nuke	0–5	-0.01	100%	21 Aug →
dust2	13–4	0.05	22%	21 Aug →
ancient	13–4	0.01	27%	21 Aug →
anubis	16–12	0.01	14%	20 Aug →
mirage	13–3	0.05	28%	20 Aug →
mirage	13–0	-0.01	33%	20 Aug →
ancient	13–9	0.11	29%	20 Aug →
mirage	3–13	-0.06	50%	20 Aug →
anubis	13–5	0.10	32%	20 Aug →
mirage	15–15	-0.02	14%	19 Aug →
anubis	10–13	-0.02	18%	19 Aug →
mirage	15–15	0.01	24%	19 Aug →
mirage	11–13	-0.07	30%	18 Aug →
ancient	15–15	-0.01	21%	18 Aug →
ancient	7–13	0.00	23%	18 Aug →
mirage	8–13	-0.02	18%	18 Aug →
anubis	2–0	0.11	25%	18 Aug →
inferno	13–10	-0.07	17%	18 Aug →
inferno	13–8	0.05	26%	17 Aug →
anubis	13–8	-0.00	20%	17 Aug →
mirage	13–11	0.01	20%	17 Aug →
dust2	13–11	0.03	28%	17 Aug →
mirage	9–13	0.04	20%	16 Aug →
ancient	5–13	-0.00	18%	16 Aug →
inferno	12–16	-0.04	25%	16 Aug →
inferno	13–9	0.02	24%	16 Aug →
ancient	10–13	-0.02	25%	16 Aug →
nuke	13–10	-0.03	25%	16 Aug →
anubis	13–6	-0.00	18%	16 Aug →
mirage	13–9	-0.03	12%	15 Aug →
nuke	13–6	0.02	24%	15 Aug →
inferno	10–13	-0.00	26%	15 Aug →
inferno	13–3	-0.06	25%	13 Aug →
inferno	16–13	0.03	33%	13 Aug →
ancient	10–13	-0.02	9%	13 Aug →
cache	13–11	-0.04	41%	11 Aug →
dust2	13–5	-0.03	14%	11 Aug →
inferno	11–13	-0.02	37%	11 Aug →
mirage	13–11	-0.04	17%	11 Aug →
nuke	13–9	0.03	30%	11 Aug →
dust2	0–13	-0.03	50%	11 Aug →
anubis	11–13	-0.02	18%	11 Aug →
inferno	0–13	-0.01	0%	11 Aug →
anubis	12–16	0.01	16%	11 Aug →
inferno	5–13	-0.05	28%	11 Aug →
ancient	5–13	-0.02	17%	11 Aug →
cache	10–13	0.00	27%	10 Aug →
inferno	9–13	-0.05	18%	10 Aug →
inferno	13–8	-0.05	13%	9 Aug →
mirage	10–13	-0.03	32%	9 Aug →
ancient	15–15	-0.02	31%	9 Aug →
inferno	13–4	-0.01	43%	9 Aug →
cache	13–1	0.06	21%	9 Aug →
ancient	16–14	-0.01	14%	9 Aug →
mirage	13–4	-0.03	14%	9 Aug →