_Blades — CS2 Stats

76561198391092929[U:1:430827201]

1,417Tracked matches67%Win rate2020Tracked since

CSDB Rating8.0 StrongAggressive Rifler

Premier CS Rating27,639Top 10% of 819 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#594 of 19827 tracked

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning59

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateLLLWLWWWLL

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

Player DNA

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

Aim9.1

Aggression7.2

Utility6.9

Positioning5.9

Opening Duels2.9

Clutch3.8

Sharp aimerStrong CT-side openerEffective 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 Twistzz 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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 91 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 64% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning5.9

Utility6.9

Mechanics8.0

Opening Duels4.3

Win Impact10.0

Composite 8.0/10 (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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time508ms−17ms

first ⅓ avg 525ms → last ⅓ avg 508ms

Headshot accuracy21.1%−1.9%

first ⅓ avg 23.0% → last ⅓ avg 21.1%

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

0.21Best rating — mirage 13–2

13–1Biggest win — mirage

11Longest win streak

L3Current streak

9–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 100% over 7mirageWeakest map · 44% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.03
dust2	B	21	11–10	52%	0.02
inferno	A	19	12–7	63%	0.05
ancient	S	17	12–5	71%	0.04
cache	S	7	7–0	100%	0.03
nuke	—	4	3–1	75%	0.07
overpass	—	3	2–1	67%	0.01
anubis	—	2	2–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,192Matches

53%Win rate

1.15Avg K/D

84.6ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	167	56%	1.36	17.1
Ancient	75	53%	1.18	16.7
Inferno	74	54%	1.37	17.2
Dust2	45	64%	1.12	15.3
Anubis	41	39%	1.04	15.7
Overpass	25	60%	1.22	16.8
Nuke	9	78%	1.34	17.7
Train	5	100%	1.26	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.

21.2%Headshot accuracy

40.5%Accuracy (enemy spotted)

43.0%Spray accuracy

85.9%Counter-strafing

9.3°Preaim

509msReaction time

19.3%T opening success

64.0%CT opening success

0.72Enemies flashed / flash

12.7%Flash assists

6.81HE damage / grenade

17.05Flashes / 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 19.3478% — below the 40% mark we flag

Spend your practice time on Mirage

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

44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.03	19%	17 Aug →
mirage	5–13	0.04	24%	11 Aug →
mirage	7–13	-0.09	15%	10 Aug →
ancient	13–11	0.02	24%	2 Aug →
dust2	7–13	0.06	30%	2 Aug →
inferno	13–9	0.11	17%	2 Aug →
mirage	13–5	0.03	12%	2 Aug →
inferno	13–5	0.02	28%	1 Aug →
nuke	6–13	0.04	27%	1 Aug →
mirage	10–13	-0.03	16%	29 Jul →
cache	13–3	0.05	21%	29 Jul →
cache	13–9	-0.01	18%	27 Jul →
mirage	13–3	0.10	25%	25 Jul →
cache	13–3	0.06	38%	23 Jul →
inferno	6–13	0.00	13%	23 Jul →
ancient	3–13	-0.02	42%	23 Jul →
mirage	8–13	0.04	18%	22 Jul →
cache	13–4	0.00	29%	22 Jul →
ancient	13–7	0.02	17%	22 Jul →
nuke	13–7	0.08	19%	18 Jul →
cache	13–2	0.03	17%	18 Jul →
cache	13–8	0.06	18%	12 Jul →
ancient	11–13	0.05	33%	11 Jul →
ancient	13–2	0.10	19%	11 Jul →
inferno	13–7	0.08	16%	11 Jul →
dust2	13–8	0.00	11%	11 Jul →
cache	13–9	0.05	24%	9 Jul →
inferno	13–11	0.04	19%	30 Jun →
ancient	13–11	0.04	20%	29 Jun →
dust2	13–9	0.02	17%	29 Jun →
ancient	13–11	-0.00	14%	25 Jun →
inferno	13–5	0.08	20%	25 Jun →
overpass	16–14	-0.05	17%	24 Jun →
nuke	13–4	0.12	31%	22 Jun →
mirage	5–13	-0.01	21%	22 Jun →
inferno	7–13	-0.01	15%	18 Jun →
inferno	8–13	-0.01	18%	11 Jun →
ancient	13–10	0.02	10%	9 Jun →
ancient	13–7	0.03	6%	6 Jun →
dust2	13–8	0.06	25%	6 Jun →
ancient	13–6	0.03	26%	6 Jun →
dust2	13–5	0.12	31%	5 Jun →
dust2	5–13	-0.04	19%	5 Jun →
dust2	4–13	-0.02	27%	5 Jun →
mirage	13–10	0.00	20%	4 Jun →
mirage	13–7	0.02	15%	4 Jun →
inferno	11–13	0.00	8%	4 Jun →
dust2	13–8	0.06	27%	2 Jun →
dust2	13–7	0.01	32%	2 Jun →
mirage	13–11	0.08	28%	31 May →
ancient	2–13	-0.05	13%	30 May →
mirage	13–7	0.04	23%	29 May →
mirage	13–2	0.21	12%	28 May →
anubis	13–3	0.03	24%	28 May →
dust2	9–13	-0.00	19%	28 May →
dust2	6–13	-0.06	19%	27 May →
mirage	4–13	-0.03	23%	27 May →
mirage	13–5	0.08	16%	25 May →
inferno	13–7	0.15	12%	23 May →
dust2	13–8	0.10	24%	23 May →
inferno	13–3	0.09	17%	17 May →
dust2	13–6	-0.01	22%	17 May →
mirage	13–1	0.07	17%	13 May →
mirage	13–7	0.05	9%	10 May →
inferno	13–8	0.12	20%	4 May →
ancient	13–3	0.04	30%	4 May →
mirage	7–13	0.01	18%	29 Apr →
inferno	7–13	-0.02	38%	28 Apr →
dust2	11–13	0.02	27%	26 Apr →
mirage	13–9	-0.01	25%	26 Apr →
mirage	5–13	0.04	30%	26 Apr →
mirage	3–13	-0.04	11%	25 Apr →
overpass	9–13	0.01	17%	23 Apr →
inferno	11–13	0.04	27%	22 Apr →
inferno	13–10	0.10	22%	22 Apr →
mirage	6–13	-0.04	24%	22 Apr →
anubis	13–8	-0.05	20%	21 Apr →
ancient	14–16	0.01	13%	21 Apr →
inferno	16–14	0.03	19%	20 Apr →
inferno	13–3	-0.01	41%	20 Apr →
nuke	13–9	0.03	14%	17 Apr →
mirage	10–13	-0.04	26%	17 Apr →
dust2	10–13	0.10	22%	17 Apr →
dust2	5–13	0.02	29%	14 Apr →
mirage	7–13	0.06	20%	12 Apr →
ancient	13–4	0.14	17%	12 Apr →
dust2	2–8	-0.01	38%	11 Apr →
ancient	5–13	0.06	25%	11 Apr →
inferno	13–11	0.04	18%	10 Apr →
mirage	12–16	0.03	20%	10 Apr →
dust2	16–14	0.03	30%	10 Apr →
inferno	13–16	0.10	15%	8 Apr →
dust2	7–13	-0.01	26%	7 Apr →
dust2	13–7	-0.02	21%	29 Mar →
ancient	13–7	0.05	23%	28 Mar →
dust2	13–8	-0.02	23%	28 Mar →
overpass	13–3	0.08	22%	28 Mar →
mirage	7–13	0.04	14%	26 Mar →
ancient	13–4	0.14	21%	26 Mar →
mirage	13–8	0.07	21%	25 Mar →