bl3nd — CS2 Stats

RU76561198364722629[U:1:404456901]Steam profile ↗✓ No bans

727Tracked matches46%Win rate2020Tracked since

2,735Hours in CS

CSDB Rating5.7 SolidHybrid Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim61

Positioning53

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY48–41–11Last 10048%Win rateWLLLWWWLLL

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

Player DNA

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

Aim6.1

Aggression6.8

Utility7.2

Positioning5.3

Opening Duels2.6

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 91% 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. 588ms 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

Aim6.1

Positioning5.3

Utility7.2

Mechanics7.1

Opening Duels2.6

Win Impact3.7

Composite 5.7/10 (Solid), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time602ms+6ms

first ⅓ avg 595ms → last ⅓ avg 602ms

Headshot accuracy15.7%−1.3%

first ⅓ avg 17.0% → last ⅓ avg 15.7%

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

0.12Best rating — dust2 13–8

13–1Biggest win — dust2

5Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	19–16	54%	0.01
inferno	C	24	10–14	42%	-0.02
ancient	C	17	6–11	35%	-0.01
nuke	S	7	5–2	71%	-0.00
mirage	C	7	3–4	43%	0.01
anubis	A	5	3–2	60%	0.01
overpass	—	3	2–1	67%	-0.05
train	—	2	0–2	0%	-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,515Lifetime kills

0.83K/D

5,347Matches

43.1%Match win rate

44.6%Headshot % · Top 50% of tracked players

13.2%Shot accuracy · Top 50% of tracked players

12,779MVPs

2,735Hours (in match)

4,775Bombs planted

1,753Bombs defused

Most-used weapons

AK-4729,591

AWP14,310

M4A4 / M4A1-S12,908

Desert Eagle9,915

P2000 / USP-S7,532

Glock-184,169

P2502,768

Knife2,597

MAC-101,707

SG 5531,440

Lifetime map wins

14,858dust2

11,166inferno

1,566nuke

1,331vertigo

900office

596train

581lake

285cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy

31.2%Accuracy (enemy spotted)

34.8%Spray accuracy

81.8%Counter-strafing

9.9°Preaim

588msReaction time

36.7%T opening success

43.8%CT opening success

0.54Enemies flashed / flash

6.6%Flash assists

10.02HE damage / grenade

12.03Flashes / 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 36.7277% — 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.

35% win rate across 17 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
overpass	13–10	-0.07	7%	31 Aug →
inferno	4–13	-0.09	13%	13 Apr →
inferno	4–13	-0.04	14%	13 Apr →
dust2	11–13	0.02	29%	13 Apr →
ancient	13–4	0.06	9%	12 Apr →
inferno	13–11	0.03	35%	12 Apr →
dust2	13–3	0.03	9%	12 Apr →
inferno	5–13	-0.09	13%	10 Apr →
dust2	9–13	-0.03	22%	10 Apr →
ancient	9–13	0.02	16%	9 Apr →
dust2	13–10	-0.02	14%	9 Apr →
inferno	12–12	-0.06	16%	9 Apr →
ancient	13–7	-0.02	13%	5 Apr →
ancient	5–13	-0.03	23%	5 Apr →
inferno	13–7	0.04	24%	5 Apr →
dust2	13–2	0.03	22%	5 Apr →
inferno	9–13	0.03	20%	1 Apr →
ancient	10–13	-0.05	9%	1 Apr →
dust2	13–5	0.08	13%	1 Apr →
ancient	12–12	-0.06	11%	30 Mar →
inferno	9–13	0.00	20%	30 Mar →
dust2	12–12	0.02	16%	30 Mar →
ancient	11–13	-0.05	16%	26 Mar →
dust2	13–10	-0.00	10%	26 Mar →
inferno	7–13	-0.05	6%	26 Mar →
inferno	12–12	-0.04	6%	25 Mar →
dust2	13–10	-0.02	15%	25 Mar →
ancient	6–13	0.02	19%	24 Mar →
dust2	11–13	0.04	9%	24 Mar →
nuke	11–2	-0.04	7%	24 Mar →
inferno	13–4	0.04	10%	24 Mar →
dust2	13–1	0.07	33%	24 Mar →
ancient	5–13	-0.05	18%	19 Mar →
dust2	6–13	-0.05	17%	19 Mar →
mirage	4–13	-0.02	10%	19 Mar →
inferno	8–13	0.00	5%	19 Mar →
dust2	12–12	-0.02	13%	19 Mar →
ancient	10–13	0.02	25%	10 Mar →
nuke	11–13	-0.09	9%	10 Mar →
ancient	13–6	-0.02	23%	3 Mar →
inferno	13–11	-0.02	20%	3 Mar →
dust2	13–7	0.02	20%	3 Mar →
inferno	12–12	-0.06	14%	25 Feb →
dust2	13–7	-0.01	16%	25 Feb →
ancient	13–9	-0.01	26%	25 Feb →
nuke	9–6	0.01	19%	17 Feb →
train	8–13	-0.10	0%	18 Jan →
inferno	8–13	-0.07	27%	18 Jan →
inferno	10–13	-0.07	4%	17 Jan →
dust2	11–13	-0.10	3%	17 Jan →
inferno	13–10	-0.03	16%	15 Jan →
ancient	9–13	-0.03	24%	15 Jan →
dust2	8–13	0.04	11%	15 Jan →
train	12–12	-0.05	21%	14 Jan →
dust2	10–4	-0.00	25%	9 Nov →
inferno	13–6	-0.07	5%	6 Nov →
nuke	13–10	0.08	12%	6 Nov →
anubis	13–7	0.02	14%	6 Nov →
inferno	13–3	0.06	14%	5 Nov →
ancient	9–13	0.03	15%	4 Nov →
anubis	8–13	-0.06	23%	4 Nov →
ancient	13–8	0.06	19%	2 Nov →
dust2	13–2	-0.01	16%	2 Nov →
anubis	12–12	0.03	11%	1 Nov →
dust2	13–5	0.01	17%	1 Nov →
inferno	13–9	-0.01	19%	1 Nov →
inferno	9–13	-0.03	16%	31 Oct →
anubis	13–6	0.04	14%	30 Oct →
nuke	5–13	-0.04	18%	30 Oct →
dust2	13–3	0.04	25%	30 Oct →
overpass	12–12	-0.07	21%	30 Oct →
inferno	12–12	0.08	17%	30 Oct →
dust2	13–5	0.06	24%	30 Oct →
nuke	13–3	0.05	21%	29 Oct →
dust2	6–13	0.06	17%	28 Oct →
ancient	13–10	-0.00	11%	27 Oct →
inferno	13–10	-0.00	20%	27 Oct →
dust2	13–8	0.12	16%	27 Oct →
dust2	8–13	0.01	29%	27 Oct →
dust2	6–13	0.05	23%	27 Oct →
mirage	13–5	0.04	25%	27 Oct →
overpass	13–9	-0.01	10%	26 Oct →
nuke	13–2	0.04	13%	26 Oct →
dust2	4–13	-0.05	16%	26 Oct →
inferno	13–2	-0.02	7%	26 Oct →
ancient	15–15	-0.04	10%	25 Oct →
dust2	8–13	0.00	13%	25 Oct →
dust2	7–13	-0.10	23%	25 Oct →
dust2	13–10	0.01	20%	24 Oct →
mirage	2–13	0.01	16%	24 Oct →
dust2	4–13	-0.05	21%	23 Oct →
mirage	13–7	0.09	14%	23 Oct →
dust2	13–4	0.03	18%	23 Oct →
anubis	13–11	0.04	14%	20 Oct →
mirage	13–4	0.01	20%	20 Oct →
dust2	13–6	0.08	15%	20 Oct →
mirage	8–13	-0.03	15%	20 Oct →
dust2	13–3	0.07	18%	18 Oct →
mirage	9–13	-0.05	6%	18 Oct →
dust2	7–13	-0.02	13%	18 Oct →