p — CS2 Stats

BT76561199427714857[U:1:1467449129]Steam profile ↗✓ No bans

857Tracked matches60%Win rate2022Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating22,063Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#5353 of 16659 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning59

Utility58

0–100 skill scores via Leetify.

Recent form

HOT53–43–4Last 10053%Win rateWWWWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.07 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression8.6

Utility5.8

Positioning5.9

Opening Duels3.0

Clutch4.0

Strong CT-side opener

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 b1t 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 58% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.6

Positioning5.9

Utility5.8

Mechanics7.5

Opening Duels3.5

Win Impact8.3

Composite 6.8/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time575ms+14ms

first ⅓ avg 561ms → last ⅓ avg 575ms

Headshot accuracy15.8%−3.2%

first ⅓ avg 19.0% → last ⅓ avg 15.8%

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 — anubis 6–13

13–1Biggest win — dust2

7Longest win streak

W7Current streak

14–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 69% over 16anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	-0.01
dust2	S	17	11–6	65%	0.01
inferno	S	16	11–5	69%	-0.02
ancient	A	16	9–7	56%	-0.01
nuke	C	13	5–8	38%	0.01
anubis	D	9	2–7	22%	-0.00
cache	—	4	2–2	50%	-0.00
overpass	—	3	2–1	67%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

371Matches

55%Win rate

1.19Avg K/D

81.7ADR

38%Headshot %

Clutches & streaks

40%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	93	54%	1.13	16.2
Inferno	67	60%	1.25	17.7
Dust2	67	61%	1.13	16.3
Nuke	32	44%	1.11	15.8
Ancient	29	48%	1.20	15.6
Anubis	23	43%	1.06	16.4
Train	8	75%	1.20	16.8
Overpass	5	20%	0.97	15.8

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.

15.3%Headshot accuracy

36.5%Accuracy (enemy spotted)

39.3%Spray accuracy

83.8%Counter-strafing

9.0°Preaim

581msReaction time

26.1%T opening success

58.0%CT opening success

0.56Enemies flashed / flash

4.5%Flash assists

9.30HE damage / grenade

11.56Flashes / 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.

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 26.0542% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.03	13%	6 Aug →
nuke	13–7	0.10	25%	6 Aug →
mirage	13–5	0.04	17%	6 Aug →
nuke	13–3	0.08	11%	5 Aug →
inferno	13–9	0.09	19%	5 Aug →
dust2	13–3	0.06	18%	5 Aug →
nuke	13–9	0.05	18%	5 Aug →
cache	3–13	0.00	17%	2 Aug →
nuke	11–13	-0.02	15%	2 Aug →
anubis	6–13	0.15	17%	25 Jul →
dust2	13–9	-0.04	8%	24 Jul →
cache	13–11	0.05	15%	24 Jul →
mirage	5–13	-0.07	12%	24 Jul →
mirage	4–13	0.09	11%	24 Jul →
ancient	5–13	-0.05	20%	24 Jul →
dust2	13–5	0.00	20%	21 Jul →
ancient	13–11	0.02	14%	18 Jul →
ancient	1–13	-0.08	17%	16 Jul →
inferno	10–4	-0.05	23%	16 Jul →
inferno	13–6	-0.05	21%	15 Jul →
mirage	13–7	-0.05	14%	13 Jul →
ancient	2–8	-0.08	11%	13 Jul →
inferno	7–13	-0.05	11%	13 Jul →
mirage	9–13	-0.02	9%	11 Jul →
mirage	10–13	0.03	6%	9 Jul →
cache	2–13	-0.08	22%	9 Jul →
cache	13–6	0.02	8%	9 Jul →
ancient	13–2	0.02	36%	9 Jul →
ancient	13–9	0.06	13%	5 Jul →
ancient	13–10	-0.03	12%	4 Jul →
inferno	2–13	-0.08	26%	3 Jul →
ancient	13–4	-0.05	11%	3 Jul →
ancient	7–13	-0.02	15%	3 Jul →
mirage	6–11	-0.03	20%	29 Jun →
overpass	13–10	-0.02	22%	27 Jun →
dust2	16–13	0.01	12%	27 Jun →
mirage	13–9	0.04	37%	27 Jun →
anubis	9–13	-0.06	9%	27 Jun →
dust2	13–11	0.03	17%	27 Jun →
ancient	9–13	0.00	16%	26 Jun →
inferno	13–11	0.02	15%	26 Jun →
nuke	13–10	0.04	29%	22 Jun →
mirage	13–11	0.06	19%	22 Jun →
nuke	11–13	-0.01	23%	22 Jun →
ancient	13–6	0.04	7%	21 Jun →
inferno	16–13	0.01	21%	21 Jun →
mirage	13–11	-0.04	21%	20 Jun →
dust2	3–13	-0.05	15%	20 Jun →
inferno	13–6	-0.02	20%	19 Jun →
mirage	4–13	-0.07	12%	19 Jun →
mirage	7–13	-0.03	39%	19 Jun →
mirage	12–16	0.00	22%	18 Jun →
anubis	15–15	0.01	21%	18 Jun →
nuke	8–13	0.00	14%	18 Jun →
inferno	13–11	-0.01	19%	17 Jun →
dust2	9–13	-0.00	10%	17 Jun →
nuke	2–13	-0.08	10%	17 Jun →
dust2	13–6	-0.01	8%	17 Jun →
anubis	12–16	0.04	11%	16 Jun →
mirage	16–14	-0.06	14%	12 Jun →
ancient	6–13	-0.06	10%	12 Jun →
inferno	16–14	-0.03	16%	12 Jun →
inferno	4–13	-0.11	15%	12 Jun →
anubis	10–13	-0.09	23%	11 Jun →
inferno	7–13	-0.05	8%	9 Jun →
ancient	13–5	0.08	25%	9 Jun →
anubis	8–13	-0.03	16%	9 Jun →
dust2	13–1	0.10	26%	9 Jun →
mirage	10–13	0.02	17%	9 Jun →
ancient	13–5	0.04	26%	9 Jun →
nuke	15–15	-0.02	20%	9 Jun →
dust2	7–13	-0.01	17%	7 Jun →
nuke	15–15	0.01	25%	5 Jun →
mirage	6–13	-0.07	19%	5 Jun →
inferno	13–2	0.05	24%	5 Jun →
dust2	5–13	-0.06	12%	4 Jun →
mirage	13–10	-0.04	15%	2 Jun →
inferno	13–11	-0.01	13%	1 Jun →
dust2	16–12	0.02	17%	28 May →
anubis	16–13	-0.05	21%	28 May →
nuke	4–6	-0.02	0%	27 May →
nuke	4–13	0.01	33%	27 May →
anubis	13–10	0.03	11%	27 May →
anubis	7–13	-0.02	13%	27 May →
mirage	5–13	-0.08	19%	27 May →
inferno	5–13	-0.04	22%	27 May →
mirage	13–8	-0.07	13%	26 May →
dust2	13–11	0.10	21%	26 May →
ancient	13–10	-0.03	15%	23 May →
overpass	15–15	0.02	11%	22 May →
ancient	5–13	0.01	15%	16 May →
dust2	13–9	0.06	25%	16 May →
overpass	13–6	0.07	23%	16 May →
nuke	13–11	-0.02	10%	16 May →
dust2	11–13	-0.04	19%	14 May →
mirage	16–12	-0.00	20%	13 May →
dust2	8–13	0.06	35%	13 May →
mirage	13–3	0.08	24%	13 May →
inferno	13–3	0.04	30%	13 May →
mirage	13–11	0.08	17%	12 May →