reef — CS2 Stats

US76561198800126042[U:1:839860314]Steam profile ↗✓ No bans

424Tracked matches39%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning58

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLWLLLTWTWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.4

Aggression7.4

Utility5.6

Positioning5.8

Opening Duels2.4

Clutch10.0

Excellent counter-strafingStrong CT-side openerReliable 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 Twistzz 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning5.8

Utility5.6

Mechanics9.0

Opening Duels2.4

Win Impact1.4

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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time518ms−73ms

first ⅓ avg 592ms → last ⅓ avg 518ms

Headshot accuracy18.7%+5.0%

first ⅓ avg 13.7% → last ⅓ avg 18.7%

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

0.29Best rating — inferno 9–2

13–2Biggest win — nuke

4Longest win streak

10–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 50% over 22mirageWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	0.02
inferno	C	21	9–12	43%	0.00
mirage	C	17	7–10	41%	0.00
cache	B	13	6–7	46%	0.06
nuke	B	11	5–6	45%	-0.01
ancient	C	9	4–5	44%	0.04
anubis	—	4	1–3	25%	0.01
vertigo	—	2	0–2	0%	-0.07
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches

56%Win rate

0.87Avg K/D

69.7ADR

45%Headshot %

Clutches & streaks

75%1v1 clutch win

38%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	0.89	12.4
Dust2	3	67%	1.10	14.3
Inferno	3	100%	0.86	11.7
Nuke	2	50%	1.31	23.5
Anubis	2	100%	1.04	13.5
Overpass	1	0%	1.04	24.0

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.

17.6%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.1%Spray accuracy

90.6%Counter-strafing

10.5°Preaim

527msReaction time

30.9%T opening success

48.5%CT opening success

0.58Enemies flashed / flash

4.8%Flash assists

5.92HE damage / grenade

15.17Flashes / 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 30.8579% — below the 40% mark we flag

Spend your practice time on Mirage

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.03	13%	25 Aug →
nuke	9–7	0.00	25%	25 Aug →
nuke	5–9	-0.12	13%	25 Aug →
inferno	2–9	-0.14	33%	25 Aug →
vertigo	4–9	-0.07	13%	25 Aug →
vertigo	8–8	-0.06	12%	25 Aug →
inferno	9–2	0.29	39%	25 Aug →
nuke	8–8	-0.03	21%	19 Aug →
nuke	9–3	0.08	10%	19 Aug →
inferno	9–3	0.03	20%	19 Aug →
dust2	13–4	0.01	20%	17 Aug →
mirage	13–11	0.00	21%	17 Aug →
ancient	8–13	0.03	22%	15 Aug →
inferno	13–5	0.08	19%	15 Aug →
dust2	11–13	-0.01	22%	15 Aug →
nuke	9–13	-0.06	14%	13 Aug →
mirage	13–8	-0.07	25%	13 Aug →
cache	13–10	0.04	21%	13 Aug →
mirage	13–11	0.04	12%	9 Aug →
mirage	2–13	-0.03	9%	9 Aug →
mirage	11–13	-0.05	16%	9 Aug →
mirage	10–13	0.15	11%	10 Jul →
mirage	1–13	0.04	17%	10 Jul →
dust2	13–10	0.07	13%	9 Jul →
dust2	13–10	0.04	17%	9 Jul →
ancient	10–13	0.06	17%	9 Jul →
nuke	13–7	0.04	26%	9 Jul →
inferno	9–0	0.03	27%	7 Jul →
inferno	1–9	-0.21	29%	7 Jul →
dust2	1–13	-0.02	20%	7 Jul →
cache	2–13	0.09	14%	7 Jul →
dust2	13–10	-0.01	17%	4 Jul →
inferno	5–9	-0.03	10%	2 Jul →
inferno	8–8	-0.04	11%	2 Jul →
mirage	10–13	-0.02	19%	29 Jun →
inferno	7–9	-0.06	10%	28 May →
inferno	9–6	0.08	14%	28 May →
inferno	9–6	0.15	14%	28 May →
anubis	13–11	0.05	12%	26 May →
dust2	11–13	-0.00	16%	26 May →
dust2	5–13	-0.06	21%	23 May →
dust2	12–12	0.06	15%	22 May →
dust2	3–9	-0.05	22%	22 May →
mirage	6–13	0.07	14%	16 May →
nuke	12–12	0.03	25%	15 May →
inferno	3–13	-0.06	22%	15 May →
nuke	15–15	0.00	21%	14 May →
inferno	8–13	-0.10	6%	14 May →
dust2	13–5	-0.04	16%	14 May →
inferno	10–13	0.09	13%	14 May →
overpass	11–13	-0.04	17%	14 May →
mirage	7–13	-0.06	16%	14 May →
nuke	8–13	-0.03	15%	13 May →
ancient	9–13	-0.01	21%	13 May →
nuke	13–2	-0.05	8%	13 May →
dust2	11–13	0.01	15%	13 May →
dust2	13–10	0.03	13%	13 May →
dust2	7–13	-0.02	12%	12 May →
inferno	13–9	0.09	16%	12 May →
dust2	13–9	-0.00	23%	12 May →
ancient	9–13	0.04	22%	12 May →
ancient	12–12	0.14	13%	11 May →
cache	13–4	0.14	15%	11 May →
ancient	13–11	-0.06	16%	10 May →
dust2	10–13	0.10	25%	8 May →
anubis	11–13	0.03	12%	8 May →
mirage	13–10	0.05	16%	8 May →
inferno	9–13	-0.02	12%	8 May →
ancient	13–6	0.01	11%	6 May →
cache	7–13	0.07	21%	6 May →
cache	13–4	0.01	14%	6 May →
dust2	4–13	0.07	13%	6 May →
dust2	13–7	0.09	22%	5 May →
mirage	13–8	0.01	10%	3 May →
dust2	13–11	-0.01	17%	3 May →
ancient	13–4	0.07	18%	3 May →
inferno	2–9	-0.06	9%	2 May →
inferno	9–7	-0.02	17%	2 May →
nuke	13–6	0.03	15%	2 May →
cache	13–9	0.10	17%	1 May →
anubis	6–13	0.01	18%	30 Apr →
cache	13–7	0.09	10%	30 Apr →
cache	13–8	0.03	10%	30 Apr →
cache	5–13	0.11	25%	30 Apr →
cache	2–13	-0.09	19%	30 Apr →
cache	11–13	0.10	10%	29 Apr →
cache	3–8	0.04	26%	29 Apr →
cache	4–13	0.02	2%	29 Apr →
mirage	2–13	-0.03	8%	28 Apr →
dust2	13–11	0.07	13%	28 Apr →
inferno	13–11	0.02	12%	28 Apr →
inferno	10–13	-0.00	16%	28 Apr →
mirage	9–13	-0.01	5%	28 Apr →
dust2	13–9	0.03	12%	28 Apr →
inferno	2–9	-0.03	13%	27 Apr →
ancient	13–11	0.11	13%	27 Apr →
mirage	13–9	-0.08	7%	26 Apr →
dust2	8–13	0.09	16%	26 Apr →
mirage	13–5	-0.01	18%	26 Apr →
mirage	11–13	0.01	7%	25 Apr →