Smackdaddy — CS2 Stats

DK76561197961917062[U:1:1651334]Steam profile ↗✓ No bans

2,023Tracked matches43%Win rate2021Tracked since

4,245Hours in CS37Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating5,339Light Blue band · top ~77.2% of ranked players (population est.)

CSDB Leaderboard#41786 of 54743 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median	Level 3 median	vs Level 3
Headshot rate	32.5%	41.2%	42.2%	9.6% short
Shot accuracy	9.7%	12.5%	11.9%	2.1% short
Kill/death ratio	1.02	0.96	0.98	above
Match win rate	40.7%	42.8%	43.6%	2.9% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim43

Positioning47

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWWLLLWTWLL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim4.3

Aggression6.7

Utility6.4

Positioning4.7

Opening Duels2.0

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 Twistzz 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.3

Positioning4.7

Utility6.4

Mechanics2.3

Opening Duels2.0

Win Impact2.6

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time560ms−46ms

first ⅓ avg 606ms → last ⅓ avg 560ms

Headshot accuracy13.3%+0.8%

first ⅓ avg 12.6% → last ⅓ avg 13.3%

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

0.17Best rating — inferno 13–10

13–1Biggest win — nuke

5Longest win streak

W2Current streak

6–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 21ancientWeakest map · 16% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	31	14–17	45%	0.01
nuke	S	21	14–7	67%	-0.01
ancient	D	19	3–16	16%	-0.01
anubis	C	16	6–10	38%	-0.01
cache	A	7	4–3	57%	0.01
dust2	—	3	0–3	0%	-0.01
mirage	—	2	1–1	50%	-0.00
office	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,479Lifetime kills

1.02K/D · Top 50% of Level 2 players

6,417Matches

40.7%Match win rate

32.5%Headshot %

9.7%Shot accuracy

15,865MVPs

2,658Hours (in match)

8,369Bombs planted

1,295Bombs defused

Most-used weapons

AK-4720,336

M4A4 / M4A1-S17,448

AWP8,795

P2000 / USP-S6,427

Glock-185,272

SG 5534,852

MAC-104,378

AUG3,522

P903,343

MP93,202

Lifetime map wins

12,290nuke

11,030inferno

3,341dust2

2,383vertigo

1,917cbble

1,823train

108lake

79ar_shoots

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

Faceit stats

Combat

101Matches

50%Win rate

1.14Avg K/D

—ADR

31%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

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.

13.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

34.9%Spray accuracy

60.5%Counter-strafing

10.3°Preaim

563msReaction time

39.6%T opening success

36.2%CT opening success

0.50Enemies flashed / flash

3.4%Flash assists

8.76HE damage / grenade

16.45Flashes / 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 13.1448% — 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 39.5773% — 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.

16% win rate across 19 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
cache	16–12	0.01	16%	30 Aug →
ancient	13–8	-0.02	7%	30 Aug →
nuke	9–13	-0.04	18%	30 Aug →
inferno	4–13	-0.07	26%	30 Aug →
ancient	10–13	0.02	5%	29 Aug →
inferno	16–13	-0.04	15%	29 Aug →
ancient	15–15	-0.01	5%	28 Aug →
inferno	13–8	0.02	13%	28 Aug →
inferno	11–13	-0.01	9%	28 Aug →
anubis	1–13	-0.12	0%	27 Aug →
inferno	13–8	0.05	11%	27 Aug →
nuke	13–8	0.00	15%	27 Aug →
ancient	4–13	-0.05	11%	27 Aug →
ancient	1–7	0.04	16%	27 Aug →
inferno	13–10	0.17	15%	27 Aug →
ancient	10–13	-0.08	17%	26 Aug →
nuke	13–9	0.04	9%	26 Aug →
inferno	13–11	0.05	13%	26 Aug →
anubis	9–13	0.01	5%	26 Aug →
nuke	11–13	-0.06	11%	25 Aug →
inferno	7–13	-0.03	13%	25 Aug →
ancient	14–16	-0.03	10%	25 Aug →
inferno	13–11	0.08	15%	24 Aug →
cache	13–7	0.02	15%	24 Aug →
nuke	10–13	0.00	18%	24 Aug →
dust2	11–13	0.00	24%	24 Aug →
dust2	4–13	-0.01	12%	24 Aug →
anubis	13–9	0.06	24%	23 Aug →
ancient	15–15	-0.00	7%	23 Aug →
inferno	5–13	-0.00	29%	23 Aug →
mirage	9–13	-0.00	16%	23 Aug →
nuke	13–9	-0.01	15%	22 Aug →
cache	9–13	-0.02	9%	22 Aug →
inferno	6–13	0.01	13%	21 Aug →
inferno	11–13	0.07	14%	21 Aug →
ancient	8–13	-0.04	9%	21 Aug →
anubis	9–13	-0.02	6%	20 Aug →
ancient	11–13	-0.01	20%	20 Aug →
anubis	11–13	-0.04	5%	20 Aug →
ancient	9–13	0.08	10%	18 Aug →
inferno	13–10	-0.02	23%	18 Aug →
anubis	16–12	0.03	7%	17 Aug →
inferno	5–0	-0.01	0%	17 Aug →
inferno	10–13	0.08	25%	17 Aug →
anubis	13–4	0.06	22%	16 Aug →
inferno	11–13	-0.02	5%	16 Aug →
mirage	13–9	0.00	14%	15 Aug →
nuke	14–16	-0.08	8%	15 Aug →
nuke	8–13	0.01	16%	14 Aug →
ancient	5–13	0.01	16%	14 Aug →
nuke	13–1	-0.05	0%	14 Aug →
anubis	5–13	-0.04	13%	14 Aug →
inferno	5–13	-0.05	0%	13 Aug →
cache	13–11	-0.01	12%	13 Aug →
inferno	16–12	0.02	17%	12 Aug →
nuke	13–11	-0.02	7%	12 Aug →
nuke	13–1	-0.00	14%	12 Aug →
anubis	7–13	-0.04	14%	12 Aug →
ancient	9–13	-0.04	23%	12 Aug →
nuke	10–13	0.02	8%	11 Aug →
cache	3–13	0.04	8%	11 Aug →
anubis	13–10	0.02	13%	11 Aug →
dust2	6–13	-0.03	2%	11 Aug →
anubis	15–15	-0.03	6%	10 Aug →
ancient	5–13	0.00	7%	10 Aug →
inferno	5–13	-0.05	10%	10 Aug →
cache	10–13	-0.01	11%	9 Aug →
inferno	8–13	-0.05	13%	9 Aug →
inferno	13–10	0.06	16%	9 Aug →
nuke	13–10	-0.02	18%	8 Aug →
nuke	13–11	-0.02	8%	8 Aug →
nuke	13–7	0.02	8%	7 Aug →
anubis	13–7	0.07	6%	7 Aug →
ancient	4–13	-0.06	14%	7 Aug →
anubis	4–13	-0.05	10%	6 Aug →
inferno	13–7	0.01	23%	6 Aug →
nuke	8–13	-0.06	12%	6 Aug →
inferno	11–13	-0.04	11%	6 Aug →
nuke	13–6	0.02	25%	6 Aug →
inferno	15–15	0.04	11%	5 Aug →
ancient	13–5	-0.01	12%	3 Aug →
inferno	4–13	-0.06	20%	3 Aug →
office	5–13	-0.04	15%	3 Aug →
nuke	13–9	-0.03	5%	3 Aug →
ancient	13–10	-0.04	7%	1 Aug →
anubis	13–10	0.05	2%	1 Aug →
nuke	13–11	0.02	12%	1 Aug →
inferno	11–13	-0.02	9%	30 Jul →
inferno	13–7	0.04	11%	30 Jul →
inferno	11–13	0.00	10%	30 Jul →
inferno	13–9	0.10	5%	29 Jul →
ancient	0–7	-0.02	7%	29 Jul →
inferno	9–13	0.04	25%	29 Jul →
nuke	13–5	0.01	16%	29 Jul →
anubis	3–13	-0.07	14%	28 Jul →
nuke	13–9	0.01	15%	28 Jul →
ancient	6–13	-0.01	20%	28 Jul →
anubis	9–13	-0.04	14%	27 Jul →
cache	13–2	0.06	13%	27 Jul →
inferno	13–10	0.03	7%	27 Jul →