𝙂𝙖𝙣𝙩𝙯𝙮 — CS2 Stats

MA76561198179847985[U:1:219582257]Steam profile ↗✓ No bans

1,024Tracked matches43%Win rate2025Tracked since

583Hours in CS

CSDB Rating6.2 SolidPositional Player

Premier CS Rating19,646Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.9% of ranked players (population est.)

CSDB Leaderboard#91888 of 261521 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,646 -889 13 Sept – 12 Nov · 23 days played

20,535Peak Premier in tracked matches

38Days played since 2026-09-13

Premier CS Rating

889 below peak (20,535)
+728 over 30 days · improving
Next: Pink band at 20,000 — 354 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-13
Purple band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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	43.3%	46.8%	48.2%	4.9% short
Shot accuracy	0.0%	13.0%	13.2%	13.2% short
Kill/death ratio	0.96	1.06	1.07	0.11 short
Match win rate	52.3%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

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

Aim77

Positioning58

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWWLLWWLLWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.8pp headshot accuracy · +12ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 588ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 516ms

Last 20

9–11 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 511ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.7

Utility5.2

Positioning5.8

Opening Duels3.5

Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T openings. 60% T opening-duel success — entries that actually open the round.

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

Aim7.7

Positioning5.8

Utility5.2

Mechanics7.1

Opening Duels6.1

Win Impact2.8

Composite 6.2/10 (Solid), 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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time517ms+6ms

first ⅓ avg 511ms → last ⅓ avg 517ms

Headshot accuracy17.0%−2.5%

first ⅓ avg 19.5% → last ⅓ avg 17.0%

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.

Personal bests

0.25Best match rating · 0–13 · dust2, 21 Oct →

100%Best headshot accuracy · 0–13 · dust2, 21 Oct →

375msFastest reaction time · 9–1 · inferno, 29 Oct →

13–1Biggest win · mirage, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W2Current streak

8–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 75% over 12cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	11–10	52%	0.01
mirage	A	20	11–9	55%	-0.02
anubis	A	13	8–5	62%	-0.01
inferno	S	12	9–3	75%	0.05
cache	D	9	3–6	33%	0.01
ancient	B	8	4–4	50%	0.01
nuke	S	6	4–2	67%	0.01
debris	—	3	1–2	33%	-0.07
vertigo	—	3	1–2	33%	-0.06
office	—	3	0–3	0%	0.00
train	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Lifetime stats

23,076Lifetime kills

0.96K/D

1,336Matches

52.3%Match win rate · Top 10% of Level 8 players

43.3%Headshot %

0.0%Shot accuracy

3,426MVPs

583Hours (in match)

1,280Bombs planted

327Bombs defused

Most-used weapons

AK-477,610

AWP4,272

M4A4 / M4A1-S3,774

Desert Eagle1,231

P2000 / USP-S1,210

Glock-18892

Galil AR744

MP9599

FAMAS517

MAC-10398

Lifetime map wins

3,159dust2

935nuke

828inferno

274vertigo

196train

150office

26italy

2ar_shoots

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

Faceit stats

Combat

385Matches

51%Win rate

1.08Avg K/D

82.3ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	115	50%	1.14	16.3
Dust2	85	46%	1.04	15.9
Ancient	58	50%	1.05	16.4
Anubis	51	61%	1.07	15.7
Cache	32	62%	1.10	16.7
Nuke	21	57%	1.06	17.1
Inferno	17	35%	0.81	12.9
Vertigo	6	67%	1.40	20.0

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.

17.3%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.0%Spray accuracy

81.8%Counter-strafing

9.1°Preaim

529msReaction time

60.4%T opening success

48.4%CT opening success

0.58Enemies flashed / flash

6.9%Flash assists

6.08HE damage / grenade

11.33Flashes / match

Recommended for you

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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–3	0.03	28%	12 Nov →
anubis	13–11	-0.05	10%	11 Nov →
dust2	5–13	-0.04	12%	11 Nov →
nuke	11–13	-0.03	16%	11 Nov →
mirage	16–14	0.01	17%	10 Nov →
ancient	13–8	0.08	20%	9 Nov →
anubis	11–13	0.00	18%	9 Nov →
cache	4–13	-0.01	11%	8 Nov →
mirage	13–5	0.08	11%	8 Nov →
dust2	13–10	-0.06	15%	8 Nov →
dust2	11–13	-0.04	10%	7 Nov →
dust2	10–13	-0.05	4%	7 Nov →
mirage	9–13	0.01	4%	6 Nov →
ancient	14–16	0.04	32%	6 Nov →
anubis	13–6	0.06	21%	6 Nov →
ancient	13–5	0.07	18%	4 Nov →
ancient	11–13	0.04	15%	4 Nov →
anubis	13–9	-0.05	21%	4 Nov →
cache	11–13	-0.01	14%	4 Nov →
dust2	6–13	-0.02	26%	3 Nov →
anubis	6–13	0.02	12%	1 Nov →
debris	6–9	-0.11	27%	29 Oct →
inferno	9–6	0.02	19%	29 Oct →
inferno	9–1	0.12	26%	29 Oct →
mirage	5–13	-0.02	15%	29 Oct →
mirage	13–10	-0.03	13%	29 Oct →
mirage	13–11	-0.08	18%	29 Oct →
mirage	13–8	0.01	18%	29 Oct →
debris	7–9	-0.09	6%	29 Oct →
vertigo	9–6	-0.06	24%	29 Oct →
inferno	7–9	0.05	7%	29 Oct →
office	9–13	-0.03	34%	28 Oct →
office	7–13	-0.01	21%	28 Oct →
office	7–13	0.05	18%	28 Oct →
dust2	13–16	0.01	20%	27 Oct →
inferno	9–7	-0.01	35%	27 Oct →
nuke	9–5	0.04	14%	27 Oct →
inferno	9–2	0.05	19%	27 Oct →
inferno	9–6	0.08	23%	27 Oct →
inferno	9–3	0.19	26%	27 Oct →
cache	13–7	0.14	21%	27 Oct →
mirage	13–9	-0.02	21%	27 Oct →
anubis	13–8	-0.03	16%	27 Oct →
anubis	9–13	-0.08	9%	26 Oct →
dust2	13–5	0.05	13%	26 Oct →
dust2	13–8	0.06	19%	25 Oct →
mirage	13–11	0.01	10%	25 Oct →
cache	13–2	-0.03	31%	24 Oct →
dust2	8–13	0.05	14%	23 Oct →
mirage	1–13	-0.06	9%	23 Oct →
anubis	13–6	-0.07	10%	22 Oct →
anubis	13–9	0.00	16%	21 Oct →
nuke	13–5	-0.02	14%	21 Oct →
ancient	5–13	-0.10	23%	21 Oct →
dust2	0–13	0.25	100%	21 Oct →
inferno	13–8	0.04	3%	21 Oct →
inferno	7–9	0.00	24%	19 Oct →
cache	5–13	-0.03	23%	18 Oct →
inferno	9–13	-0.01	15%	17 Oct →
cache	5–13	0.10	28%	17 Oct →
ancient	13–4	-0.07	14%	17 Oct →
nuke	13–6	0.01	4%	16 Oct →
nuke	13–2	0.09	21%	16 Oct →
ancient	16–14	0.02	16%	16 Oct →
nuke	17–19	0.00	9%	16 Oct →
mirage	13–11	-0.03	16%	14 Oct →
mirage	10–13	-0.02	18%	14 Oct →
dust2	13–5	0.02	17%	14 Oct →
ancient	4–13	-0.05	10%	14 Oct →
inferno	13–7	0.06	22%	13 Oct →
dust2	16–13	-0.02	20%	12 Oct →
debris	9–6	0.00	11%	11 Oct →
vertigo	11–13	-0.03	18%	11 Oct →
cache	21–25	-0.07	18%	11 Oct →
inferno	13–10	0.00	28%	10 Oct →
mirage	13–1	-0.05	19%	10 Oct →
dust2	13–9	-0.03	24%	10 Oct →
mirage	6–13	-0.02	10%	8 Oct →
cache	10–13	-0.02	13%	8 Oct →
anubis	7–13	-0.06	10%	8 Oct →
train	13–7	0.01	33%	7 Oct →
train	13–7	0.05	14%	7 Oct →
dust2	13–9	-0.00	22%	6 Oct →
mirage	13–16	0.01	22%	6 Oct →
dust2	13–2	-0.05	21%	4 Oct →
mirage	13–5	0.02	18%	2 Oct →
dust2	13–5	-0.04	18%	2 Oct →
anubis	9–13	0.06	8%	1 Oct →
dust2	13–5	0.05	28%	1 Oct →
vertigo	7–9	-0.08	15%	30 Sept →
anubis	13–11	0.06	22%	30 Sept →
dust2	5–13	0.02	21%	30 Sept →
dust2	8–13	0.03	13%	30 Sept →
dust2	7–13	0.01	18%	30 Sept →
anubis	13–6	-0.05	4%	30 Sept →
mirage	13–10	-0.03	24%	28 Sept →
mirage	8–13	-0.05	19%	27 Sept →
dust2	13–5	0.03	48%	27 Sept →
mirage	6–13	-0.09	35%	27 Sept →
mirage	5–13	-0.02	22%	26 Sept →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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