-Snedo- — CS2 Stats

76561199387035532[U:1:1426769804]

1,256Tracked matches57%Win rate2022Tracked since

2,149Hours in CS2Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim81

Positioning60

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLLWLWWWWWT

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1

Aggression8.9

Utility5.1

Positioning6.0

Opening Duels4.0

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 ropz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; higher opening-fight frequency.

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. 631ms 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

Aim8.1

Positioning6.0

Utility5.1

Mechanics8.3

Opening Duels4.0

Win Impact7.4

Composite 6.9/10 (Solid), 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 rating-0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time626ms−8ms

first ⅓ avg 634ms → last ⅓ avg 626ms

Headshot accuracy24.2%+0.4%

first ⅓ avg 23.8% → last ⅓ avg 24.2%

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

0.22Best rating — dust2 6–1

13–0Biggest win — ancient

8Longest win streak

L2Current streak

8–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 73% over 26ancientWeakest map · 40% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	26	19–7	73%	-0.01
ancient	C	20	8–12	40%	0.00
dust2	A	17	10–7	59%	0.02
nuke	A	16	9–7	56%	0.02
inferno	B	8	4–4	50%	0.02
anubis	C	7	3–4	43%	-0.04
cache	C	5	2–3	40%	0.02
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,543Lifetime kills

1.00K/D

2,773Matches

45.4%Match win rate

61.5%Headshot % · Top 10% of tracked players

0.6%Shot accuracy

13,794MVPs

2,541Hours (in match)

1,263Bombs planted

3,318Bombs defused

Most-used weapons

AK-4768,526

M4A4 / M4A1-S14,071

Desert Eagle10,497

P2000 / USP-S8,426

AWP6,867

Glock-182,222

SSG 082,192

XM10141,508

Galil AR1,087

Knife938

Lifetime map wins

4,353dust2

2,890inferno

2,844vertigo

2,453nuke

794train

90office

50italy

41ar_shoots

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

Faceit stats

Combat

1,078Matches

51%Win rate

1.17Avg K/D

83.8ADR

54%Headshot %

Clutches & streaks

36%1v1 clutch win

23%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	343	54%	1.18	17.9
Ancient	162	46%	1.10	17.2
Anubis	111	41%	1.08	17.0
Dust2	106	49%	1.16	17.2
Nuke	77	48%	1.14	17.7
Inferno	63	38%	1.01	17.0
Vertigo	35	46%	1.08	16.5
Cache	13	54%	1.12	17.6

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.

23.8%Headshot accuracy

34.6%Accuracy (enemy spotted)

40.5%Spray accuracy

87.5%Counter-strafing

9.5°Preaim

631msReaction time

39.7%T opening success

52.2%CT opening success

0.58Enemies flashed / flash

11.2%Flash assists

8.90HE damage / grenade

5.95Flashes / 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 39.7046% — 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.

40% win rate across 20 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
inferno	7–13	-0.06	35%	11 Aug →
dust2	3–6	-0.06	42%	11 Aug →
inferno	13–11	0.04	11%	30 Jul →
anubis	0–13	-0.07	7%	9 Jul →
nuke	13–4	-0.04	16%	9 Jul →
mirage	13–2	0.13	26%	9 Jul →
mirage	13–7	-0.01	27%	9 Jul →
dust2	13–6	0.02	43%	8 Jul →
cache	13–1	0.00	29%	8 Jul →
mirage	12–12	0.06	28%	8 Jul →
nuke	4–13	0.01	32%	18 Jun →
ancient	5–13	0.03	30%	18 Jun →
anubis	0–13	-0.12	33%	18 Jun →
mirage	2–13	-0.05	30%	18 Jun →
anubis	13–6	-0.07	19%	15 Jun →
nuke	13–9	-0.00	30%	15 Jun →
dust2	8–13	0.01	18%	31 May →
mirage	13–10	-0.01	22%	31 May →
nuke	7–13	-0.06	10%	31 May →
dust2	13–4	0.01	29%	31 May →
mirage	10–13	-0.03	20%	31 May →
mirage	13–11	-0.01	25%	31 May →
dust2	13–5	-0.01	12%	31 May →
ancient	13–10	0.11	17%	24 May →
mirage	3–13	-0.08	19%	24 May →
dust2	13–10	0.01	33%	24 May →
anubis	13–9	-0.04	21%	24 May →
nuke	13–11	0.04	28%	24 May →
ancient	7–13	-0.04	24%	24 May →
mirage	15–15	0.03	17%	14 May →
nuke	13–9	-0.01	36%	14 May →
ancient	7–13	0.01	19%	14 May →
ancient	8–13	-0.06	13%	12 May →
dust2	13–10	-0.00	29%	12 May →
mirage	8–13	-0.10	23%	11 May →
dust2	13–6	0.00	24%	7 May →
ancient	12–16	-0.06	19%	6 May →
mirage	13–9	0.01	20%	6 May →
inferno	8–13	0.01	34%	6 May →
mirage	13–7	0.08	39%	5 May →
nuke	7–13	0.05	26%	5 May →
mirage	13–4	-0.06	36%	4 May →
inferno	11–13	-0.01	19%	4 May →
mirage	13–8	0.01	22%	4 May →
ancient	8–13	-0.01	10%	4 May →
cache	13–4	0.04	28%	3 May →
cache	10–13	0.05	16%	3 May →
cache	5–13	-0.03	11%	3 May →
dust2	6–1	0.22	30%	2 May →
cache	11–13	0.02	21%	2 May →
mirage	13–6	-0.05	17%	28 Apr →
ancient	18–22	-0.01	19%	28 Apr →
nuke	13–11	-0.02	14%	28 Apr →
dust2	13–11	0.02	20%	24 Apr →
inferno	13–7	0.08	27%	23 Apr →
inferno	13–1	0.12	29%	23 Apr →
ancient	13–4	0.01	29%	23 Apr →
mirage	13–10	0.00	20%	23 Apr →
dust2	10–13	-0.01	13%	23 Apr →
overpass	11–13	-0.02	16%	22 Apr →
nuke	13–11	0.01	35%	22 Apr →
ancient	13–6	0.04	13%	22 Apr →
inferno	2–13	-0.05	19%	22 Apr →
ancient	3–13	-0.11	24%	21 Apr →
ancient	9–13	-0.01	16%	21 Apr →
ancient	13–2	0.03	31%	21 Apr →
anubis	13–10	0.01	25%	21 Apr →
ancient	13–10	0.11	43%	21 Apr →
mirage	13–8	-0.00	35%	20 Apr →
inferno	22–19	0.02	20%	19 Apr →
dust2	13–9	-0.02	29%	18 Apr →
ancient	13–0	0.04	30%	18 Apr →
nuke	13–4	0.04	8%	18 Apr →
ancient	7–13	0.00	10%	18 Apr →
dust2	8–13	0.04	31%	18 Apr →
mirage	13–1	0.05	26%	18 Apr →
mirage	13–11	-0.01	27%	18 Apr →
mirage	16–14	0.04	16%	18 Apr →
nuke	9–13	0.09	22%	16 Apr →
mirage	0–13	-0.08	0%	16 Apr →
mirage	13–1	-0.03	15%	16 Apr →
nuke	13–4	0.10	23%	16 Apr →
ancient	13–9	0.01	25%	16 Apr →
anubis	6–13	-0.02	29%	15 Apr →
nuke	13–7	0.08	31%	13 Apr →
ancient	7–13	0.07	30%	12 Apr →
dust2	5–13	-0.00	14%	7 Apr →
dust2	13–8	0.03	54%	7 Apr →
mirage	13–9	-0.02	27%	7 Apr →
mirage	13–4	-0.00	25%	7 Apr →
ancient	13–3	-0.02	36%	7 Apr →
dust2	7–13	0.01	12%	7 Apr →
mirage	13–3	-0.02	10%	7 Apr →
ancient	6–13	-0.09	19%	7 Apr →
nuke	15–15	-0.02	43%	7 Apr →
anubis	8–13	0.06	11%	6 Apr →
nuke	7–13	0.04	28%	1 Apr →
mirage	6–0	-0.02	0%	1 Apr →
dust2	2–6	0.03	35%	1 Apr →
nuke	9–13	0.01	22%	1 Apr →