thatboyain'tRight — CS2 Stats

76561197986273844[U:1:26008116]

1,945Tracked matches63%Win rate2023Tracked since

CSDB Rating4.8 Developing

Premier CS Rating20,617Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)

CSDB Leaderboard#15060 of 42105 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning31

Utility56

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateWWWWWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim4.6

Aggression2.0

Utility5.6

Positioning3.1

Opening Duels0.0

Clutch1.4

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 41% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim4.6

Positioning3.1

Utility5.6

Mechanics5.5

Opening Duels1.4

Win Impact9.4

Composite 4.8/10 (Developing), 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-0.03+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time612ms−38ms

first ⅓ avg 651ms → last ⅓ avg 612ms

Headshot accuracy12.7%+2.0%

first ⅓ avg 10.7% → last ⅓ avg 12.7%

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

0.08Best rating — overpass 13–11

13–0Biggest win — overpass

7Longest win streak

W7Current streak

9–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 70% over 20trainWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	14–6	70%	-0.03
nuke	A	14	9–5	64%	-0.03
inferno	B	13	7–6	54%	-0.05
mirage	D	13	2–11	15%	-0.04
cache	C	11	4–7	36%	-0.05
overpass	B	10	5–5	50%	-0.01
train	D	7	1–6	14%	-0.03
anubis	A	5	3–2	60%	-0.04
vertigo	—	3	2–1	67%	-0.03
ancient	—	3	0–3	0%	-0.06
italy	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

16Matches

69%Win rate

0.78Avg K/D

61.9ADR

40%Headshot %

Clutches & streaks

27%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	5	80%	0.93	13.0
Dust2	3	67%	0.66	11.3
Mirage	2	0%	0.64	12.0
Inferno	2	100%	0.59	7.5
Anubis	2	50%	1.02	13.5
Vertigo	1	100%	0.64	7.0
Cache	1	100%	0.78	14.0

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.

12.4%Headshot accuracy

30.1%Accuracy (enemy spotted)

35.7%Spray accuracy

74.8%Counter-strafing

10.3°Preaim

607msReaction time

8.1%T opening success

40.9%CT opening success

0.52Enemies flashed / flash

6.8%Flash assists

5.38HE damage / grenade

9.44Flashes / 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 12.4098% — 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 8.098% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.02	10%	22 Aug →
dust2	13–2	0.01	13%	22 Aug →
nuke	13–8	-0.02	8%	21 Aug →
dust2	13–10	0.01	19%	21 Aug →
cache	13–10	-0.04	17%	20 Aug →
nuke	13–10	-0.03	12%	20 Aug →
dust2	13–5	-0.06	9%	19 Aug →
mirage	9–13	-0.02	21%	19 Aug →
inferno	13–3	-0.05	8%	19 Aug →
inferno	13–8	-0.07	14%	18 Aug →
dust2	13–11	-0.05	17%	17 Aug →
vertigo	13–6	-0.03	7%	16 Aug →
anubis	13–8	0.00	12%	16 Aug →
mirage	11–13	-0.03	12%	16 Aug →
nuke	13–2	0.01	20%	16 Aug →
nuke	13–5	-0.01	8%	14 Aug →
cache	10–13	-0.07	6%	11 Aug →
dust2	3–13	-0.07	18%	11 Aug →
inferno	7–13	-0.05	4%	11 Aug →
nuke	7–13	-0.08	13%	3 Aug →
dust2	13–11	-0.06	10%	3 Aug →
cache	13–7	-0.02	11%	31 Jul →
cache	11–13	-0.04	10%	30 Jul →
dust2	6–13	-0.04	11%	30 Jul →
inferno	4–13	-0.04	15%	30 Jul →
mirage	5–13	-0.04	10%	14 Jul →
vertigo	13–8	-0.01	8%	14 Jul →
anubis	13–10	-0.04	11%	13 Jul →
overpass	13–0	0.06	36%	13 Jul →
dust2	8–13	-0.07	14%	13 Jul →
inferno	13–8	-0.02	13%	13 Jul →
nuke	13–3	0.02	12%	6 Jul →
mirage	13–10	-0.00	15%	6 Jul →
train	6–13	-0.02	17%	5 Jul →
dust2	13–11	-0.07	12%	5 Jul →
nuke	13–8	-0.07	12%	5 Jul →
dust2	3–13	-0.06	29%	5 Jul →
inferno	13–10	-0.10	3%	5 Jul →
overpass	11–13	0.01	10%	5 Jul →
ancient	6–13	-0.06	12%	5 Jul →
dust2	7–13	-0.10	15%	5 Jul →
overpass	10–13	-0.06	9%	5 Jul →
nuke	10–13	-0.02	10%	5 Jul →
dust2	13–11	-0.01	11%	5 Jul →
train	12–12	0.03	16%	4 Jul →
mirage	8–13	-0.00	22%	30 Jun →
dust2	5–13	-0.06	6%	30 Jun →
nuke	8–13	-0.02	6%	30 Jun →
cache	9–13	-0.02	12%	30 Jun →
anubis	1–13	-0.10	0%	29 Jun →
inferno	16–13	-0.05	15%	29 Jun →
anubis	8–13	-0.04	23%	29 Jun →
mirage	10–13	-0.07	9%	29 Jun →
inferno	13–11	-0.02	13%	28 Jun →
nuke	13–4	-0.04	6%	28 Jun →
inferno	3–13	-0.06	13%	28 Jun →
cache	10–13	-0.03	17%	24 Jun →
cache	7–13	-0.08	13%	21 Jun →
nuke	5–13	-0.08	3%	21 Jun →
train	12–12	-0.08	8%	21 Jun →
overpass	13–11	0.08	12%	21 Jun →
italy	13–6	-0.04	15%	20 Jun →
mirage	10–13	-0.04	5%	20 Jun →
overpass	12–12	-0.04	22%	19 Jun →
cache	13–5	-0.08	8%	19 Jun →
nuke	13–7	-0.07	6%	19 Jun →
mirage	13–8	-0.04	9%	19 Jun →
inferno	8–13	-0.05	15%	19 Jun →
inferno	9–13	-0.08	3%	15 Jun →
train	13–10	0.02	6%	15 Jun →
dust2	13–4	0.01	17%	15 Jun →
overpass	13–7	-0.03	12%	14 Jun →
cache	13–10	-0.05	12%	13 Jun →
mirage	6–13	-0.02	12%	13 Jun →
train	7–13	-0.05	9%	13 Jun →
dust2	13–11	0.01	12%	13 Jun →
overpass	12–12	-0.07	5%	11 Jun →
dust2	13–7	0.03	12%	9 Jun →
train	10–13	-0.05	11%	8 Jun →
ancient	10–13	-0.04	9%	7 Jun →
nuke	13–10	-0.01	12%	7 Jun →
inferno	11–13	-0.06	13%	7 Jun →
train	10–13	-0.06	21%	7 Jun →
dust2	13–2	0.00	6%	7 Jun →
cache	9–13	-0.04	9%	7 Jun →
mirage	4–13	-0.09	3%	7 Jun →
mirage	11–13	-0.01	8%	2 Jun →
dust2	13–9	0.02	7%	2 Jun →
overpass	13–11	0.02	13%	31 May →
cache	2–13	-0.09	6%	31 May →
overpass	3–13	-0.05	11%	30 May →
nuke	2–13	-0.06	18%	30 May →
vertigo	10–13	-0.04	14%	30 May →
mirage	10–13	-0.10	13%	26 May →
overpass	13–11	-0.06	9%	26 May →
dust2	13–9	-0.02	16%	26 May →
dust2	13–0	-0.02	13%	24 May →
ancient	5–13	-0.07	4%	24 May →
mirage	8–13	0.00	14%	24 May →
anubis	13–9	-0.04	8%	19 May →