Siddy! ^_ — CS2 Stats

IN76561198065452421[U:1:105186693]Steam profile ↗✓ No bans

2,935Tracked matches67%Win rate2020Tracked since

5,938Hours in CS70Hrs last 2 wks

CSDB Rating6.0 Solid

Premier CS Rating24,206Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

CSDB Leaderboard#9473 of 60783 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 8 median	Level 9 median	vs Level 9
Headshot rate	40.5%	47.0%	48.4%	7.9% short
Shot accuracy	11.0%	12.8%	13.2%	2.2% short
Kill/death ratio	0.93	1.07	1.08	0.15 short
Match win rate	41.2%	46.4%	47.0%	5.9% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim55

Positioning59

Utility63

0–100 skill scores via Leetify.

Recent form

HOT61–33–6Last 10061%Win rateLWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.5

Aggression7.5

Utility6.3

Positioning5.9

Opening Duels3.4

Clutch3.0

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 b1t 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 598ms 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

Aim5.5

Positioning5.9

Utility6.3

Mechanics5.1

Opening Duels3.4

Win Impact10.0

Composite 6.0/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time604ms−53ms

first ⅓ avg 657ms → last ⅓ avg 604ms

Headshot accuracy13.7%−1.7%

first ⅓ avg 15.4% → last ⅓ avg 13.7%

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

0.27Best rating — inferno 9–0

13–2Biggest win — dust2

7Longest win streak

13–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 75% over 8nukeWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	19–16	54%	0.00
inferno	A	24	15–9	63%	0.02
ancient	S	17	12–5	71%	-0.00
mirage	S	8	6–2	75%	-0.01
nuke	B	6	3–3	50%	-0.01
anubis	S	6	4–2	67%	-0.03
cache	—	4	2–2	50%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,642Lifetime kills

0.93K/D

8,237Matches

41.2%Match win rate

40.5%Headshot %

11.0%Shot accuracy

14,076MVPs

3,320Hours (in match)

7,990Bombs planted

1,666Bombs defused

Most-used weapons

AK-4749,934

M4A4 / M4A1-S26,274

P907,016

FAMAS6,443

P2000 / USP-S6,380

Desert Eagle4,973

Glock-184,843

MAC-104,036

MP93,741

Galil AR3,264

Lifetime map wins

24,562dust2

12,703inferno

2,684nuke

1,337train

1,267vertigo

682cbble

137lake

86safehouse

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

Faceit stats

Combat

778Matches

51%Win rate

0.95Avg K/D

74.5ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	220	54%	0.94	13.9
Ancient	165	55%	0.93	14.7
Inferno	155	51%	0.96	14.0
Anubis	79	48%	0.96	14.5
Mirage	72	35%	0.98	14.4
Nuke	43	42%	0.91	15.4
Overpass	11	27%	1.07	15.0
Vertigo	9	44%	1.09	15.2

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.

14.5%Headshot accuracy

34.5%Accuracy (enemy spotted)

36.9%Spray accuracy

73.1%Counter-strafing

11.0°Preaim

598msReaction time

36.7%T opening success

50.8%CT opening success

0.78Enemies flashed / flash

8.8%Flash assists

7.23HE damage / grenade

8.90Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4655% — below the 15% mark we flag
Aim Training →
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 36.6606% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	8–13	0.04	9%	29 Aug →
dust2	13–8	0.00	24%	29 Aug →
nuke	13–8	-0.02	11%	29 Aug →
cache	13–9	-0.03	9%	29 Aug →
dust2	13–7	0.10	15%	29 Aug →
inferno	6–13	-0.02	9%	29 Aug →
mirage	13–11	-0.00	19%	29 Aug →
dust2	13–11	-0.04	18%	29 Aug →
ancient	13–9	-0.01	18%	25 Aug →
ancient	7–13	-0.04	17%	24 Aug →
dust2	11–13	0.04	13%	23 Aug →
nuke	16–19	-0.05	11%	20 Aug →
inferno	2–13	-0.01	13%	19 Aug →
ancient	13–5	0.01	21%	19 Aug →
dust2	13–2	0.01	14%	19 Aug →
dust2	1–2	0.03	10%	18 Aug →
inferno	13–4	0.01	16%	17 Aug →
ancient	13–8	-0.02	14%	17 Aug →
anubis	13–6	0.01	16%	17 Aug →
anubis	13–6	-0.04	6%	17 Aug →
inferno	13–5	-0.09	8%	17 Aug →
dust2	13–5	0.05	34%	17 Aug →
mirage	13–9	-0.03	9%	17 Aug →
inferno	4–13	-0.06	6%	16 Aug →
dust2	3–3	-0.07	8%	16 Aug →
dust2	16–14	-0.03	18%	16 Aug →
inferno	13–6	0.03	20%	16 Aug →
inferno	13–2	0.05	11%	15 Aug →
cache	0–8	-0.03	9%	14 Aug →
dust2	7–13	-0.01	18%	11 Aug →
cache	9–13	0.03	13%	10 Aug →
dust2	16–14	0.06	11%	10 Aug →
dust2	6–13	-0.11	5%	10 Aug →
inferno	3–5	-0.01	27%	8 Aug →
mirage	15–15	0.00	22%	6 Aug →
dust2	11–13	-0.05	16%	5 Aug →
ancient	0–13	-0.05	0%	5 Aug →
dust2	9–13	0.05	10%	3 Aug →
dust2	13–3	-0.03	16%	3 Aug →
mirage	13–11	0.01	13%	2 Aug →
nuke	15–15	-0.03	10%	2 Aug →
inferno	9–0	0.27	32%	2 Aug →
dust2	10–13	0.01	16%	31 Jul →
dust2	13–16	0.02	16%	30 Jul →
dust2	5–13	0.02	10%	30 Jul →
nuke	13–9	0.01	15%	29 Jul →
ancient	13–11	0.02	11%	29 Jul →
dust2	5–13	-0.01	17%	27 Jul →
inferno	13–4	0.15	17%	25 Jul →
dust2	13–11	0.01	6%	25 Jul →
ancient	13–8	0.05	8%	25 Jul →
inferno	13–10	0.04	29%	25 Jul →
inferno	8–13	-0.09	9%	25 Jul →
dust2	15–15	-0.00	22%	24 Jul →
inferno	7–13	-0.03	15%	24 Jul →
mirage	16–14	-0.07	10%	23 Jul →
inferno	13–4	0.00	24%	23 Jul →
inferno	13–4	-0.03	7%	23 Jul →
anubis	13–7	-0.01	12%	23 Jul →
mirage	13–10	0.01	9%	23 Jul →
dust2	1–13	-0.08	13%	22 Jul →
anubis	15–15	-0.07	12%	22 Jul →
dust2	13–9	0.06	15%	22 Jul →
ancient	13–3	-0.04	13%	22 Jul →
dust2	13–3	0.10	12%	22 Jul →
ancient	13–10	-0.02	8%	20 Jul →
dust2	13–11	-0.01	10%	20 Jul →
ancient	13–6	-0.01	4%	20 Jul →
ancient	13–10	-0.04	8%	20 Jul →
ancient	10–13	0.03	14%	19 Jul →
mirage	13–6	-0.00	22%	18 Jul →
dust2	13–11	-0.05	13%	17 Jul →
inferno	13–10	-0.01	9%	17 Jul →
dust2	13–4	0.02	14%	16 Jul →
cache	13–11	0.02	6%	16 Jul →
inferno	13–8	-0.01	10%	16 Jul →
dust2	3–13	-0.03	7%	16 Jul →
dust2	6–13	-0.05	13%	15 Jul →
inferno	11–13	-0.01	19%	15 Jul →
ancient	13–9	0.03	14%	15 Jul →
anubis	16–13	0.00	14%	15 Jul →
inferno	13–9	0.02	9%	13 Jul →
ancient	13–4	0.03	20%	13 Jul →
dust2	13–9	0.07	19%	12 Jul →
dust2	0–13	-0.07	14%	11 Jul →
mirage	7–13	-0.01	19%	11 Jul →
dust2	13–5	0.00	24%	11 Jul →
nuke	15–15	0.03	17%	10 Jul →
ancient	13–7	0.04	8%	10 Jul →
inferno	13–4	0.10	15%	10 Jul →
nuke	13–8	0.02	16%	10 Jul →
anubis	4–13	-0.06	5%	10 Jul →
dust2	13–11	0.07	18%	10 Jul →
inferno	2–13	-0.07	18%	10 Jul →
dust2	13–4	0.05	20%	10 Jul →
ancient	6–13	-0.09	14%	10 Jul →
inferno	13–5	0.12	21%	10 Jul →
dust2	2–13	-0.06	45%	10 Jul →
inferno	8–8	-0.12	21%	9 Jul →
inferno	9–0	0.18	18%	9 Jul →