Modular — CS2 Stats

US76561198367203148[U:1:406937420]Steam profile ↗✓ No bans

818Tracked matches66%Win rate2025Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating11,012Blue band · top ~49.5% of ranked players (population est.)

CSDB Leaderboard#20685 of 28984 tracked

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning65

Utility63

0–100 skill scores via Leetify.

Recent form

HOT57–39–4Last 10057%Win rateWWWTWWLWWW

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

Player DNA

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

Aim6.3

Aggression8.2

Utility6.3

Positioning6.5

Opening Duels3.3

Clutch0.0

Effective flashes

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 91% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 586ms 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

Aim6.3

Positioning6.5

Utility6.3

Mechanics7.6

Opening Duels3.3

Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time588ms−56ms

first ⅓ avg 644ms → last ⅓ avg 588ms

Headshot accuracy16.9%+1.5%

first ⅓ avg 15.4% → last ⅓ avg 16.9%

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

0.17Best rating — dust2 13–6

13–1Biggest win — ancient

5Longest win streak

W3Current streak

5–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 69% over 16cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	18–11	62%	0.03
mirage	B	19	10–9	53%	0.02
nuke	S	16	11–5	69%	0.02
cache	C	8	3–5	38%	0.02
inferno	C	7	3–4	43%	0.03
ancient	A	7	4–3	57%	0.04
anubis	S	6	4–2	67%	0.01
train	C	5	2–3	40%	0.02
vertigo	—	2	1–1	50%	0.01
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches

0%Win rate

0.42Avg K/D

43.9ADR

70%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

16.8%Headshot accuracy

32.4%Accuracy (enemy spotted)

30.4%Spray accuracy

84.2%Counter-strafing

10.0°Preaim

586msReaction time

38.5%T opening success

47.9%CT opening success

0.71Enemies flashed / flash

5.8%Flash assists

10.20HE damage / grenade

11.68Flashes / 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 38.4894% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–3	0.03	17%	29 Aug →
nuke	13–9	0.01	11%	29 Aug →
dust2	13–11	0.01	17%	29 Aug →
cache	12–12	-0.04	17%	29 Aug →
train	13–10	0.04	19%	29 Aug →
dust2	13–6	-0.03	8%	29 Aug →
cache	10–13	0.02	9%	29 Aug →
ancient	13–1	0.08	14%	27 Aug →
nuke	13–5	0.02	5%	27 Aug →
cache	13–8	0.13	18%	26 Aug →
cache	0–11	0.02	18%	26 Aug →
cache	13–7	0.03	9%	26 Aug →
ancient	10–13	0.05	12%	25 Aug →
mirage	13–11	0.02	24%	25 Aug →
nuke	9–13	-0.04	16%	25 Aug →
dust2	13–6	0.05	28%	25 Aug →
inferno	10–13	0.06	27%	24 Aug →
dust2	3–13	-0.05	8%	24 Aug →
mirage	8–13	0.02	22%	23 Aug →
mirage	13–8	0.01	15%	23 Aug →
train	11–13	0.00	30%	23 Aug →
nuke	13–9	0.01	22%	23 Aug →
dust2	13–10	0.08	20%	23 Aug →
nuke	13–8	0.03	18%	23 Aug →
dust2	9–13	0.07	14%	22 Aug →
nuke	6–9	-0.05	16%	22 Aug →
dust2	13–2	0.01	28%	22 Aug →
nuke	13–11	0.04	22%	21 Aug →
nuke	13–10	-0.01	13%	21 Aug →
dust2	5–13	-0.05	6%	21 Aug →
dust2	13–10	0.03	12%	20 Aug →
dust2	13–3	0.13	30%	18 Aug →
ancient	13–4	0.04	15%	18 Aug →
dust2	13–9	0.03	16%	16 Aug →
anubis	8–13	-0.06	23%	16 Aug →
nuke	13–9	0.14	21%	16 Aug →
dust2	11–13	0.05	13%	15 Aug →
nuke	13–9	-0.01	11%	15 Aug →
ancient	13–2	0.14	22%	15 Aug →
mirage	13–10	0.04	18%	15 Aug →
anubis	1–6	-0.05	16%	15 Aug →
dust2	13–4	-0.00	11%	15 Aug →
inferno	13–10	0.04	16%	14 Aug →
anubis	13–8	0.08	14%	13 Aug →
mirage	9–13	-0.05	15%	13 Aug →
nuke	13–6	0.05	11%	13 Aug →
ancient	2–13	-0.03	17%	13 Aug →
dust2	10–13	-0.01	20%	13 Aug →
mirage	8–13	0.01	29%	13 Aug →
dust2	13–5	-0.01	14%	12 Aug →
ancient	8–13	-0.01	17%	12 Aug →
train	13–10	0.09	16%	12 Aug →
train	5–13	-0.07	13%	12 Aug →
nuke	13–3	0.01	18%	10 Aug →
dust2	13–3	0.06	11%	8 Aug →
inferno	11–13	0.03	16%	8 Aug →
dust2	16–12	-0.00	15%	7 Aug →
mirage	16–13	0.01	17%	7 Aug →
dust2	13–11	0.04	22%	5 Aug →
dust2	13–16	0.01	10%	5 Aug →
dust2	13–4	0.17	13%	5 Aug →
nuke	12–12	0.00	16%	5 Aug →
dust2	1–13	-0.08	15%	4 Aug →
dust2	11–13	-0.00	16%	3 Aug →
mirage	13–5	0.02	17%	3 Aug →
mirage	15–15	-0.03	12%	3 Aug →
mirage	13–11	-0.04	13%	2 Aug →
nuke	6–13	-0.03	23%	2 Aug →
cache	13–9	0.12	21%	2 Aug →
nuke	13–3	0.09	12%	30 Jul →
mirage	10–13	0.01	16%	30 Jul →
inferno	1–13	-0.05	9%	30 Jul →
mirage	13–4	0.11	15%	30 Jul →
vertigo	12–12	0.01	10%	29 Jul →
vertigo	13–8	0.01	11%	29 Jul →
mirage	11–13	0.01	17%	28 Jul →
nuke	8–13	0.10	20%	28 Jul →
mirage	13–2	-0.01	11%	27 Jul →
anubis	13–8	0.02	11%	27 Jul →
mirage	13–8	0.10	13%	26 Jul →
dust2	13–10	0.06	19%	25 Jul →
inferno	13–4	0.09	11%	25 Jul →
train	8–13	0.03	16%	25 Jul →
dust2	13–6	0.17	19%	25 Jul →
dust2	10–13	-0.01	14%	25 Jul →
dust2	13–7	0.07	22%	25 Jul →
mirage	4–13	-0.02	25%	25 Jul →
mirage	13–8	0.02	13%	25 Jul →
ancient	13–10	-0.01	5%	24 Jul →
inferno	1–8	0.01	15%	24 Jul →
anubis	13–6	0.03	11%	24 Jul →
dust2	11–13	0.02	21%	23 Jul →
dust2	13–7	0.04	16%	23 Jul →
anubis	13–10	0.04	19%	23 Jul →
dust2	7–10	0.05	9%	22 Jul →
cache	9–13	-0.01	19%	22 Jul →
office	13–10	0.01	15%	22 Jul →
mirage	10–13	0.06	18%	21 Jul →
cache	5–13	-0.09	16%	21 Jul →
mirage	7–13	0.05	20%	20 Jul →