SeeYesGo — CS2 Stats

76561198118544173[U:1:158278445]

1,952Tracked matches50%Win rate2022Tracked since

2,227Hours in CS11Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating17,503Purple band · top ~18.4% of ranked players (population est.)

CSDB Leaderboard#11060 of 19906 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning66

Utility3

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWLLWLWWWL

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.

Aim6.5

Aggression7.0

Utility0.3

Positioning6.6

Opening Duels3.7

Clutch0.0

Strong CT-side openerLimited utility dependence

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

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

T-side openings. Opening success drops from 55% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.5

Positioning6.6

Utility0.3

Mechanics6.3

Opening Duels3.7

Win Impact5.0

Composite 5.1/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time597ms−63ms

first ⅓ avg 660ms → last ⅓ avg 597ms

Headshot accuracy16.1%−4.8%

first ⅓ avg 21.0% → last ⅓ avg 16.1%

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

0.14Best rating — nuke 9–13

13–1Biggest win — dust2

4Longest win streak

7–10In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 67% over 9cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	10–16	38%	-0.00
nuke	A	20	11–9	55%	0.03
cache	D	12	4–8	33%	-0.03
inferno	C	10	4–6	40%	-0.01
anubis	S	9	6–3	67%	0.03
dust2	D	9	3–6	33%	-0.01
vertigo	B	6	3–3	50%	0.03
office	—	4	2–2	50%	-0.02
ancient	—	2	1–1	50%	0.01
train	—	2	1–1	50%	0.04

Across the last 100 tracked matches.

Lifetime stats

56,756Lifetime kills

1.62K/D · Top 5% of tracked players

2,294Matches

44.3%Match win rate

47.3%Headshot % · Top 50% of tracked players

2.0%Shot accuracy

4,741MVPs

1,705Hours (in match)

2,190Bombs planted

707Bombs defused

Most-used weapons

AK-4715,275

Desert Eagle6,879

M4A4 / M4A1-S6,706

P2000 / USP-S3,795

AWP2,423

SSG 082,228

Glock-182,048

MP72,036

Galil AR1,427

FAMAS1,360

Lifetime map wins

5,663nuke

1,981vertigo

1,927office

1,162dust2

1,123train

1,098inferno

197italy

100aztec

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

Faceit stats

Combat

5Matches

40%Win rate

1.45Avg K/D

76.8ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

67%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	2	0%	0.66	10.5
Ancient	2	50%	2.20	15.0
Anubis	1	100%	1.55	17.0

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.

16.3%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.7%Spray accuracy

78.4%Counter-strafing

10.9°Preaim

593msReaction time

34.2%T opening success

55.0%CT opening success

0.00Enemies flashed / flash

0.0%Flash assists

1.40HE damage / grenade

0.04Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0 — below the 0.5 mark we flag
Grenade Lineups →
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 34.2381% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	0.01	17%	27 Aug →
anubis	8–0	0.04	5%	27 Aug →
dust2	3–13	-0.08	22%	19 Aug →
mirage	7–13	-0.08	8%	19 Aug →
inferno	13–6	0.03	31%	18 Aug →
anubis	9–13	0.03	16%	15 Aug →
nuke	13–3	0.07	17%	15 Aug →
anubis	13–10	0.04	14%	15 Aug →
dust2	13–6	0.02	16%	15 Aug →
anubis	8–13	0.01	9%	6 Aug →
ancient	11–13	0.01	11%	6 Aug →
nuke	13–11	0.04	19%	6 Aug →
dust2	11–13	-0.04	18%	6 Aug →
dust2	13–1	0.03	18%	6 Aug →
nuke	11–13	-0.01	16%	5 Aug →
nuke	13–9	0.08	13%	5 Aug →
mirage	13–8	0.02	29%	5 Aug →
inferno	7–13	-0.04	14%	5 Aug →
nuke	9–13	-0.02	18%	5 Aug →
inferno	8–13	-0.06	9%	5 Aug →
mirage	14–16	0.04	11%	4 Aug →
nuke	13–5	0.02	11%	4 Aug →
ancient	13–11	0.01	12%	4 Aug →
cache	13–16	-0.07	20%	4 Aug →
mirage	10–13	-0.05	24%	4 Aug →
mirage	13–4	0.03	17%	4 Aug →
anubis	13–7	-0.01	19%	3 Aug →
mirage	13–5	0.01	17%	3 Aug →
dust2	13–9	-0.02	18%	3 Aug →
mirage	4–13	-0.09	15%	3 Aug →
dust2	11–13	0.04	23%	3 Aug →
mirage	11–13	-0.02	8%	3 Aug →
nuke	6–13	0.03	17%	3 Aug →
anubis	13–8	0.03	14%	3 Aug →
mirage	13–11	-0.04	13%	3 Aug →
inferno	9–13	-0.04	15%	1 Aug →
mirage	11–13	0.02	19%	1 Aug →
anubis	13–4	0.02	11%	1 Aug →
mirage	6–13	0.06	34%	1 Aug →
inferno	13–10	0.10	11%	31 Jul →
mirage	5–13	-0.04	19%	31 Jul →
dust2	5–13	-0.01	13%	31 Jul →
nuke	13–9	0.10	13%	31 Jul →
inferno	11–13	-0.05	11%	31 Jul →
inferno	13–5	-0.06	5%	30 Jul →
inferno	13–11	-0.02	7%	30 Jul →
mirage	9–13	0.02	18%	30 Jul →
mirage	9–13	0.01	28%	30 Jul →
anubis	13–7	0.07	14%	30 Jul →
inferno	9–13	0.04	19%	30 Jul →
nuke	13–2	0.09	14%	29 Jul →
nuke	13–8	-0.01	14%	27 Jul →
vertigo	13–3	0.09	18%	19 Jul →
mirage	12–12	-0.00	16%	19 Jul →
cache	2–13	-0.11	9%	19 Jul →
cache	13–7	0.06	22%	19 Jul →
cache	13–11	-0.04	22%	18 Jul →
nuke	6–13	-0.00	21%	18 Jul →
nuke	13–3	0.14	27%	17 Jul →
vertigo	13–10	0.00	24%	16 Jul →
mirage	8–13	-0.08	26%	16 Jul →
nuke	11–13	-0.01	13%	16 Jul →
nuke	13–8	0.04	19%	15 Jul →
train	13–7	0.10	16%	15 Jul →
mirage	13–7	0.04	13%	15 Jul →
cache	7–13	-0.02	14%	15 Jul →
vertigo	9–13	0.05	17%	15 Jul →
office	13–10	0.07	26%	14 Jul →
office	2–13	-0.04	48%	13 Jul →
office	2–13	-0.04	20%	12 Jul →
cache	13–4	-0.02	19%	11 Jul →
mirage	1–13	-0.05	27%	11 Jul →
vertigo	5–13	-0.03	7%	4 Jul →
mirage	13–7	0.05	10%	1 Jul →
mirage	4–13	-0.01	24%	28 Jun →
nuke	13–10	-0.03	15%	28 Jun →
mirage	13–10	0.03	24%	28 Jun →
dust2	6–13	-0.05	21%	28 Jun →
nuke	4–13	-0.07	33%	28 Jun →
cache	3–13	-0.10	13%	28 Jun →
vertigo	12–12	-0.01	14%	25 Jun →
nuke	11–13	0.03	29%	25 Jun →
nuke	9–13	0.14	28%	25 Jun →
cache	13–9	0.01	24%	25 Jun →
inferno	9–13	-0.01	29%	24 Jun →
train	12–12	-0.02	19%	24 Jun →
mirage	13–3	-0.01	20%	24 Jun →
cache	12–12	-0.07	41%	23 Jun →
nuke	3–13	-0.08	17%	22 Jun →
vertigo	13–8	0.06	22%	22 Jun →
nuke	13–4	0.10	20%	22 Jun →
mirage	13–11	0.02	9%	22 Jun →
cache	4–13	-0.02	16%	22 Jun →
dust2	12–12	-0.00	17%	22 Jun →
cache	10–13	0.01	18%	19 Jun →
mirage	9–13	0.05	14%	19 Jun →
mirage	13–1	0.06	28%	18 Jun →
cache	10–13	-0.01	11%	18 Jun →
mirage	4–13	-0.10	11%	18 Jun →
office	13–11	-0.10	22%	18 Jun →