[BAD]Wizard — CS2 Stats

76561199642201360[U:1:1681935632]Steam profile ↗✓ No bans

203Tracked matches38%Win rate2024Tracked since

184Hours in CS19Hrs last 2 wks

CSDB Rating4.5 DevelopingPassive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim72

Positioning43

Utility18

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLWTLLLLLWW

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression3.6

Utility1.8

Positioning4.3

Opening Duels0.7

Clutch6.0

Limited 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 NiKo 78% playstyle similarity

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

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.

Reaction time. 635ms 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

Aim7.2

Positioning4.3

Utility1.8

Mechanics7.2

Opening Duels0.7

Win Impact1.0

Composite 4.5/10 (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 rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time646ms+69ms

first ⅓ avg 577ms → last ⅓ avg 646ms

Headshot accuracy20.3%−1.7%

first ⅓ avg 22.0% → last ⅓ avg 20.3%

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 — nuke 13–10

13–1Biggest win — mirage

4Longest win streak

10–10In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 50% over 10infernoWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	17	5–12	29%	-0.03
vertigo	D	15	5–10	33%	-0.04
nuke	B	15	7–8	47%	-0.01
mirage	B	13	6–7	46%	0.00
ancient	B	10	5–5	50%	0.01
dust2	C	8	3–5	38%	-0.07
cache	B	6	3–3	50%	0.04
anubis	B	6	3–3	50%	0.01
train	—	4	2–2	50%	0.02
overpass	—	4	1–3	25%	-0.01
office	—	2	1–1	50%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,272Lifetime kills

1.20K/D · Top 25% of tracked players

211Matches

50.2%Match win rate · Top 25% of tracked players

57.4%Headshot % · Top 25% of tracked players

0.0%Shot accuracy

593MVPs

80Hours (in match)

141Bombs planted

78Bombs defused

Most-used weapons

AK-472,070

M4A4 / M4A1-S773

P2000 / USP-S324

AWP270

Desert Eagle214

Glock-18170

Tec-983

UMP-4543

Galil AR39

MP738

Lifetime map wins

436vertigo

311inferno

242nuke

117dust2

30train

13office

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

Faceit stats

Combat

11Matches

55%Win rate

1.56Avg K/D

118.6ADR

50%Headshot %

Clutches & streaks

50%1v1 clutch win

100%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	50%	2.05	14.5
Nuke	2	50%	0.91	15.0
Ancient	2	50%	1.22	17.5
Inferno	1	100%	1.07	16.0
Anubis	1	100%	2.25	27.0
Vertigo	1	0%	1.44	23.0

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.

20.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

39.1%Spray accuracy

82.5%Counter-strafing

10.7°Preaim

635msReaction time

30.9%T opening success

34.9%CT opening success

0.39Enemies flashed / flash

3.2%Flash assists

4.41HE damage / grenade

2.76Flashes / 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 0.3879 — 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 30.9266% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	2–13	0.04	27%	25 Aug →
cache	13–10	0.15	15%	25 Aug →
dust2	12–12	0.05	20%	25 Aug →
office	4–13	-0.11	25%	21 Aug →
cache	4–13	-0.03	16%	21 Aug →
nuke	11–13	-0.03	17%	19 Aug →
inferno	10–13	-0.08	31%	19 Aug →
nuke	10–13	-0.08	16%	19 Aug →
cache	13–9	0.11	28%	17 Aug →
ancient	12–1	0.01	28%	17 Aug →
vertigo	4–13	-0.06	9%	8 May →
cache	3–13	0.02	20%	7 May →
cache	13–8	0.04	19%	4 May →
cache	6–13	-0.04	14%	1 May →
anubis	11–13	0.02	17%	26 Apr →
vertigo	4–13	-0.01	10%	20 Apr →
dust2	9–13	-0.08	4%	21 Mar →
dust2	13–10	-0.08	44%	27 Jan →
dust2	13–5	0.04	14%	26 Jan →
train	1–13	0.01	18%	13 Jul →
nuke	13–7	-0.01	16%	21 Feb →
nuke	10–13	-0.08	13%	9 Feb →
dust2	4–13	-0.08	47%	31 Jan →
dust2	11–13	-0.14	13%	31 Jan →
nuke	13–11	-0.06	32%	30 Jan →
nuke	13–10	0.15	31%	30 Jan →
inferno	1–13	-0.06	22%	22 Jan →
train	13–8	0.06	14%	17 Dec →
train	3–13	-0.01	16%	13 Dec →
train	13–3	0.02	17%	11 Dec →
inferno	2–13	-0.08	30%	19 Nov →
nuke	13–11	0.01	7%	28 Jul →
inferno	9–13	0.01	23%	21 Jun →
mirage	9–13	-0.02	18%	21 Jun →
dust2	3–13	-0.10	14%	26 Apr →
nuke	11–13	-0.04	14%	22 Apr →
inferno	3–6	0.06	23%	16 Apr →
ancient	9–13	-0.06	15%	25 Mar →
nuke	13–11	-0.01	14%	25 Mar →
inferno	13–6	-0.07	17%	24 Mar →
vertigo	11–13	-0.06	28%	24 Mar →
mirage	13–7	0.02	26%	23 Mar →
inferno	4–11	-0.04	25%	23 Mar →
mirage	4–13	-0.04	15%	23 Mar →
ancient	13–11	0.01	34%	23 Mar →
inferno	0–9	-0.27	33%	23 Mar →
nuke	10–13	-0.01	28%	22 Mar →
ancient	6–13	-0.04	28%	22 Mar →
anubis	13–11	0.08	31%	22 Mar →
ancient	9–13	-0.03	26%	20 Mar →
nuke	6–9	-0.10	21%	20 Mar →
nuke	11–13	-0.01	22%	20 Mar →
mirage	11–13	0.10	41%	20 Mar →
nuke	13–9	0.01	25%	19 Mar →
anubis	4–13	-0.12	18%	19 Mar →
mirage	13–5	0.04	19%	19 Mar →
vertigo	1–0	0.00	0%	19 Mar →
vertigo	4–13	-0.05	35%	19 Mar →
overpass	3–13	-0.08	0%	19 Mar →
vertigo	8–6	0.04	21%	19 Mar →
mirage	2–13	-0.10	22%	19 Mar →
dust2	13–10	-0.14	67%	18 Mar →
office	13–7	-0.08	19%	18 Mar →
mirage	13–7	0.03	18%	18 Mar →
overpass	6–13	-0.01	17%	18 Mar →
mirage	9–13	-0.07	20%	18 Mar →
inferno	2–12	-0.13	9%	18 Mar →
overpass	4–1	0.03	17%	18 Mar →
inferno	6–9	-0.09	38%	17 Mar →
vertigo	9–0	-0.03	33%	17 Mar →
vertigo	1–9	-0.23	10%	17 Mar →
vertigo	13–7	-0.02	18%	17 Mar →
mirage	4–13	-0.04	14%	17 Mar →
vertigo	3–5	-0.07	11%	17 Mar →
mirage	8–13	0.02	20%	17 Mar →
mirage	13–9	0.02	23%	17 Mar →
overpass	6–13	0.01	21%	17 Mar →
vertigo	2–0	-0.09	0%	17 Mar →
anubis	13–5	0.03	18%	17 Mar →
ancient	13–11	0.05	15%	17 Mar →
inferno	13–9	0.03	14%	16 Mar →
anubis	12–12	0.05	21%	16 Mar →
vertigo	13–11	-0.03	28%	15 Mar →
ancient	8–13	-0.01	20%	15 Mar →
inferno	13–2	0.08	20%	15 Mar →
inferno	1–10	-0.11	13%	15 Mar →
mirage	13–1	0.03	19%	15 Mar →
nuke	8–4	0.01	19%	15 Mar →
anubis	13–7	0.01	30%	15 Mar →
ancient	3–2	-0.00	50%	15 Mar →
vertigo	11–13	-0.02	24%	15 Mar →
nuke	7–13	0.04	19%	15 Mar →
vertigo	7–13	0.02	24%	15 Mar →
inferno	4–13	-0.01	30%	15 Mar →
inferno	9–13	0.13	16%	15 Mar →
mirage	13–10	0.08	24%	15 Mar →
ancient	2–13	0.12	17%	14 Mar →
inferno	13–2	0.02	24%	14 Mar →
inferno	13–5	0.09	38%	14 Mar →
ancient	13–5	0.03	39%	14 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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