Blend — CS2 Stats

76561199496555807[U:1:1536290079]Steam profile ↗✓ No bans

1,618Tracked matches68%Win rate2023Tracked since

1,183Hours in CS39Hrs last 2 wks

CSDB Rating7.9 StrongAggressive Rifler

Premier CS Rating21,529Pink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#5027 of 13895 tracked

FaceitLevel 8 · 1,398 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning71

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateTWWWLLWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim9.0

Aggression10.0

Utility5.3

Positioning7.1

Opening Duels5.1

Clutch4.6

Sharp aimerExcellent counter-strafing

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 sh1ro 97% playstyle similarity

Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0

Positioning7.1

Utility5.3

Mechanics8.8

Opening Duels5.1

Win Impact10.0

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time563ms−32ms

first ⅓ avg 595ms → last ⅓ avg 563ms

Headshot accuracy16.3%+1.5%

first ⅓ avg 14.8% → last ⅓ avg 16.3%

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 — dust2 13–0

13–0Biggest win — ancient

6Longest win streak

8–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 6anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	13–14	48%	0.01
dust2	A	21	12–9	57%	0.01
cache	A	15	9–6	60%	0.01
anubis	C	13	5–8	38%	0.01
nuke	S	6	4–2	67%	0.03
ancient	A	5	3–2	60%	0.01
inferno	C	5	2–3	40%	-0.03
train	—	3	2–1	67%	0.04
vertigo	—	2	1–1	50%	0.00
overpass	—	2	1–1	50%	0.01
office	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

31,542Lifetime kills

1.12K/D · Top 50% of Pink band

1,617Matches

49.7%Match win rate · Top 25% of Pink band

41.5%Headshot %

5.7%Shot accuracy

4,633MVPs

567Hours (in match)

1,973Bombs planted

350Bombs defused

Most-used weapons

AK-4712,695

M4A4 / M4A1-S7,251

P2000 / USP-S1,940

Desert Eagle1,877

AWP1,551

Glock-181,182

MP9855

MAC-10745

Knife602

FAMAS454

Lifetime map wins

3,349dust2

1,451inferno

1,176nuke

479vertigo

411train

135office

26italy

21cbble

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

Faceit stats

Combat

633Matches

51%Win rate

1.10Avg K/D

91.1ADR

40%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	213	51%	1.15	18.0
Dust2	131	52%	1.09	18.1
Anubis	76	57%	1.19	18.9
Ancient	52	46%	1.05	16.0
Inferno	48	42%	0.93	16.3
Nuke	44	52%	1.02	17.1
Overpass	18	67%	1.07	16.8
Cache	18	56%	1.15	17.9

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.

15.1%Headshot accuracy

43.9%Accuracy (enemy spotted)

44.6%Spray accuracy

89.5%Counter-strafing

9.4°Preaim

549msReaction time

47.1%T opening success

53.9%CT opening success

0.55Enemies flashed / flash

4.5%Flash assists

6.57HE damage / grenade

11.14Flashes / match

Recommended for you

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.

38% 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	12–12	0.04	18%	27 Aug →
mirage	13–4	0.14	16%	27 Aug →
vertigo	13–8	0.03	13%	27 Aug →
mirage	13–11	0.01	5%	26 Aug →
nuke	0–7	-0.09	14%	26 Aug →
dust2	3–13	0.03	13%	26 Aug →
dust2	13–7	0.04	13%	26 Aug →
train	13–11	0.01	6%	26 Aug →
ancient	1–7	-0.09	9%	25 Aug →
ancient	13–0	0.07	18%	25 Aug →
dust2	13–0	0.15	15%	25 Aug →
cache	2–13	-0.06	40%	25 Aug →
mirage	1–13	-0.02	14%	25 Aug →
anubis	13–10	0.13	17%	25 Aug →
anubis	8–13	0.01	21%	25 Aug →
anubis	15–15	-0.01	16%	24 Aug →
dust2	13–7	0.04	26%	24 Aug →
cache	13–10	0.04	9%	23 Aug →
mirage	13–8	-0.01	14%	22 Aug →
cache	13–3	0.07	9%	22 Aug →
nuke	13–10	0.01	15%	22 Aug →
mirage	2–7	0.01	56%	22 Aug →
cache	13–4	0.09	20%	22 Aug →
mirage	14–16	-0.01	9%	21 Aug →
dust2	13–16	0.00	15%	20 Aug →
office	13–3	0.07	19%	20 Aug →
mirage	13–10	0.00	7%	19 Aug →
dust2	13–10	-0.03	10%	19 Aug →
inferno	13–10	0.02	13%	19 Aug →
dust2	13–7	-0.04	15%	18 Aug →
cache	13–7	0.09	16%	18 Aug →
mirage	2–13	-0.11	11%	18 Aug →
mirage	13–7	0.05	25%	18 Aug →
cache	7–13	-0.06	31%	17 Aug →
nuke	3–13	0.04	18%	17 Aug →
nuke	16–13	0.04	22%	17 Aug →
anubis	13–11	-0.03	19%	17 Aug →
dust2	7–13	-0.01	10%	16 Aug →
dust2	14–16	0.03	13%	16 Aug →
dust2	16–13	0.08	15%	16 Aug →
anubis	5–13	-0.02	6%	15 Aug →
inferno	4–13	-0.12	14%	15 Aug →
train	10–13	0.06	24%	14 Aug →
cache	13–9	0.10	33%	14 Aug →
cache	13–9	0.05	16%	13 Aug →
anubis	7–13	-0.05	12%	13 Aug →
mirage	8–13	-0.04	17%	13 Aug →
mirage	4–13	-0.03	19%	13 Aug →
mirage	13–9	0.03	11%	13 Aug →
inferno	3–13	0.01	22%	13 Aug →
nuke	13–6	0.06	18%	13 Aug →
anubis	8–13	0.00	18%	13 Aug →
mirage	7–13	0.02	19%	12 Aug →
dust2	13–9	-0.01	15%	12 Aug →
dust2	10–13	0.03	13%	12 Aug →
vertigo	9–13	-0.02	13%	12 Aug →
dust2	13–5	0.05	13%	12 Aug →
cache	13–11	-0.01	19%	10 Aug →
mirage	13–7	0.06	15%	10 Aug →
anubis	8–13	0.03	14%	10 Aug →
anubis	13–11	0.02	35%	28 Jul →
dust2	13–10	-0.03	23%	27 Jul →
cache	11–13	-0.02	23%	27 Jul →
mirage	13–10	-0.01	24%	24 Jul →
dust2	13–11	0.07	17%	24 Jul →
mirage	8–13	0.02	13%	23 Jul →
dust2	8–13	-0.06	11%	23 Jul →
cache	13–9	0.03	16%	23 Jul →
dust2	13–16	-0.02	18%	22 Jul →
mirage	13–8	-0.02	10%	21 Jul →
cache	2–13	-0.07	4%	21 Jul →
anubis	14–16	0.05	20%	20 Jul →
anubis	13–4	0.03	19%	17 Jul →
dust2	8–13	0.02	20%	1 Jul →
mirage	16–19	-0.04	18%	1 Jul →
ancient	5–13	-0.04	16%	28 Jun →
anubis	13–10	0.00	12%	28 Jun →
mirage	13–4	0.02	22%	26 Jun →
mirage	10–13	0.02	18%	23 Jun →
cache	13–8	0.03	14%	22 Jun →
overpass	9–13	0.02	16%	22 Jun →
mirage	2–13	-0.04	3%	22 Jun →
dust2	13–8	-0.01	13%	21 Jun →
mirage	3–13	-0.01	33%	20 Jun →
train	13–4	0.06	19%	19 Jun →
overpass	13–4	0.00	17%	18 Jun →
mirage	13–11	0.05	18%	18 Jun →
dust2	8–13	-0.02	17%	18 Jun →
mirage	13–9	-0.02	5%	18 Jun →
dust2	13–11	-0.06	9%	16 Jun →
ancient	13–10	0.06	8%	15 Jun →
anubis	10–13	0.00	24%	15 Jun →
mirage	13–9	0.05	19%	15 Jun →
inferno	22–18	-0.01	10%	14 Jun →
cache	11–13	-0.05	14%	13 Jun →
inferno	7–13	-0.07	10%	12 Jun →
ancient	13–1	0.05	8%	12 Jun →
cache	2–13	-0.03	20%	11 Jun →
mirage	12–12	0.05	14%	11 Jun →
nuke	13–5	0.11	7%	11 Jun →