Big no no — CS2 Stats

TD76561198009673708[U:1:49407980]Steam profile ↗

1,377Tracked matches60%Win rate2023Tracked since

1,076Hours in CS

CSDB Rating3.9 LearningClutch Specialist

Premier CS Rating10,154Blue band · top ~54.1% of ranked players (population est.)

CSDB Leaderboard#35531 of 49700 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	35.4%	41.4%	44.2%	8.8% short
Shot accuracy	2.5%	9.0%	11.6%	9.1% short
Kill/death ratio	0.92	0.97	1.03	0.10 short
Match win rate	45.8%	43.7%	45.2%	meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim42

Positioning41

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY60–34–6Last 10060%Win rateWWLWLWLWWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.2

Aggression4.6

Utility4.7

Positioning4.1

Opening Duels0.4

Clutch10.0

Reliable in 1v1s

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 75% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 63% 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

Aim4.2

Positioning4.1

Utility4.7

Mechanics2.9

Opening Duels0.9

Win Impact8.3

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time528ms−54ms

first ⅓ avg 582ms → last ⅓ avg 528ms

Headshot accuracy13.5%+1.2%

first ⅓ avg 12.3% → last ⅓ avg 13.5%

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

0.18Best rating — dust2 13–3

13–2Biggest win — mirage

5Longest win streak

W2Current streak

9–1In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 78% over 9nukeWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	19–11	63%	0.00
mirage	B	21	11–10	52%	-0.01
inferno	A	16	10–6	63%	-0.00
anubis	A	12	7–5	58%	-0.01
ancient	S	9	7–2	78%	0.01
nuke	B	6	3–3	50%	-0.02
train	—	4	2–2	50%	-0.00
cache	—	2	1–1	50%	0.02

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

48,160Lifetime kills

0.92K/D

2,963Matches

45.8%Match win rate · Top 50% of Blue band

35.4%Headshot %

2.5%Shot accuracy

5,499MVPs

1,076Hours (in match)

2,485Bombs planted

458Bombs defused

Most-used weapons

AK-4711,491

M4A4 / M4A1-S8,988

MAC-103,274

AWP2,914

MP92,879

Galil AR2,567

P2000 / USP-S2,248

FAMAS2,016

Glock-181,892

PP-Bizon1,003

Lifetime map wins

9,263dust2

3,257inferno

1,752nuke

1,006train

197vertigo

160office

50bank

28ar_baggage

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

Faceit stats

Combat

1Matches

100%Win rate

0.52Avg K/D

56.4ADR

36%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

12.7%Headshot accuracy

31.0%Accuracy (enemy spotted)

31.6%Spray accuracy

62.9%Counter-strafing

10.8°Preaim

519msReaction time

26.4%T opening success

37.0%CT opening success

0.61Enemies flashed / flash

6.7%Flash assists

5.17HE damage / grenade

6.08Flashes / 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 12.6861% — 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 26.3576% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–8	-0.06	11%	30 Aug →
mirage	13–6	-0.00	8%	30 Aug →
dust2	7–13	-0.04	6%	29 Aug →
dust2	13–3	-0.02	24%	29 Aug →
mirage	1–9	0.01	25%	29 Aug →
ancient	13–8	-0.03	14%	29 Aug →
inferno	3–9	0.01	15%	28 Aug →
mirage	13–5	0.18	11%	28 Aug →
dust2	13–11	0.04	28%	28 Aug →
dust2	9–13	0.04	15%	28 Aug →
dust2	13–10	-0.02	18%	28 Aug →
mirage	7–13	0.00	14%	28 Aug →
inferno	11–13	-0.04	8%	28 Aug →
ancient	13–6	0.04	6%	28 Aug →
nuke	13–16	-0.02	8%	28 Aug →
dust2	13–3	0.01	18%	28 Aug →
inferno	13–10	-0.05	14%	27 Aug →
dust2	13–9	-0.04	6%	27 Aug →
nuke	13–7	-0.08	6%	27 Aug →
anubis	13–9	0.01	9%	27 Aug →
anubis	3–13	-0.07	8%	26 Aug →
mirage	4–13	-0.02	13%	26 Aug →
dust2	6–13	-0.04	16%	26 Aug →
inferno	13–7	-0.01	12%	26 Aug →
dust2	13–11	0.01	11%	26 Aug →
mirage	0–13	-0.09	16%	26 Aug →
anubis	13–11	-0.06	14%	26 Aug →
dust2	13–10	-0.01	11%	25 Aug →
anubis	10–13	-0.04	10%	25 Aug →
dust2	7–13	-0.09	17%	24 Aug →
mirage	13–4	-0.03	15%	24 Aug →
mirage	13–4	0.01	11%	24 Aug →
dust2	12–12	0.02	27%	24 Aug →
ancient	9–13	-0.02	15%	24 Aug →
mirage	13–9	-0.01	7%	24 Aug →
dust2	13–5	0.06	18%	24 Aug →
mirage	13–9	-0.05	14%	23 Aug →
inferno	13–9	-0.01	10%	23 Aug →
inferno	13–8	0.02	13%	23 Aug →
nuke	9–13	-0.04	8%	22 Aug →
inferno	13–3	0.04	6%	22 Aug →
mirage	13–11	0.04	9%	22 Aug →
dust2	13–10	-0.01	11%	22 Aug →
anubis	10–13	-0.03	11%	22 Aug →
ancient	13–4	0.14	8%	22 Aug →
mirage	2–13	-0.14	3%	22 Aug →
dust2	6–13	-0.09	2%	22 Aug →
inferno	13–10	0.02	11%	22 Aug →
mirage	1–13	0.00	15%	21 Aug →
ancient	13–10	-0.04	5%	21 Aug →
dust2	13–7	0.03	8%	21 Aug →
dust2	13–3	0.18	9%	20 Aug →
anubis	13–10	0.02	14%	20 Aug →
nuke	13–7	0.01	16%	20 Aug →
ancient	12–12	-0.02	8%	20 Aug →
mirage	13–2	0.02	18%	20 Aug →
inferno	13–11	0.04	11%	20 Aug →
dust2	13–11	-0.08	8%	19 Aug →
inferno	12–12	0.01	11%	19 Aug →
anubis	12–12	0.02	12%	19 Aug →
mirage	10–13	-0.01	15%	18 Aug →
mirage	5–13	-0.05	3%	18 Aug →
dust2	13–7	0.08	11%	18 Aug →
anubis	13–2	0.03	23%	18 Aug →
dust2	13–5	0.03	7%	18 Aug →
dust2	5–13	-0.05	19%	17 Aug →
cache	5–13	-0.02	12%	17 Aug →
train	13–7	-0.01	13%	17 Aug →
inferno	13–5	-0.01	9%	17 Aug →
mirage	12–12	0.07	9%	17 Aug →
dust2	13–11	0.01	14%	16 Aug →
dust2	7–13	0.06	18%	16 Aug →
anubis	13–10	0.01	14%	15 Aug →
ancient	13–8	0.06	5%	15 Aug →
inferno	7–13	0.00	10%	15 Aug →
nuke	13–3	0.04	9%	15 Aug →
dust2	13–6	-0.03	10%	15 Aug →
mirage	13–7	-0.01	15%	15 Aug →
cache	13–6	0.05	14%	15 Aug →
mirage	6–13	-0.05	10%	15 Aug →
inferno	13–6	-0.04	10%	14 Aug →
dust2	13–3	0.05	22%	14 Aug →
dust2	4–13	-0.02	17%	14 Aug →
train	7–13	0.00	8%	14 Aug →
anubis	13–11	-0.02	8%	13 Aug →
mirage	13–11	-0.01	12%	13 Aug →
dust2	10–13	-0.02	12%	13 Aug →
dust2	4–13	0.00	20%	13 Aug →
train	13–3	0.07	9%	13 Aug →
inferno	12–12	0.05	16%	12 Aug →
train	8–13	-0.07	23%	12 Aug →
mirage	13–10	-0.01	18%	12 Aug →
dust2	13–5	0.05	10%	12 Aug →
ancient	13–7	-0.03	6%	12 Aug →
nuke	2–13	-0.04	9%	12 Aug →
inferno	2–9	-0.10	5%	12 Aug →
dust2	13–10	-0.00	11%	12 Aug →
anubis	13–6	0.10	20%	12 Aug →
anubis	8–13	-0.07	15%	10 Aug →
inferno	7–2	0.00	6%	10 Aug →

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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