`Rei — CS2 Stats

76561198114832425[U:1:154566697]Steam profile ↗✓ No bans

3,156Tracked matches60%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim75

Positioning35

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY61–30–9Last 10061%Win rateWTTWLTWWWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.5

Aggression1.7

Utility4.5

Positioning3.5

Opening Duels0.0

Clutch5.4

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 NiKo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 14% 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

Aim7.5

Positioning3.5

Utility4.5

Mechanics8.0

Opening Duels1.7

Win Impact8.3

Composite 5.8/10 (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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time624ms−10ms

first ⅓ avg 634ms → last ⅓ avg 624ms

Headshot accuracy24.6%+0.9%

first ⅓ avg 23.7% → last ⅓ avg 24.6%

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

0.11Best rating — mirage 1–13

13–0Biggest win — anubis

10Longest win streak

8–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 66% over 41anubisWeakest map · 50% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	41	27–14	66%	-0.01
mirage	A	23	14–9	61%	-0.01
anubis	B	8	4–4	50%	-0.02
inferno	A	8	5–3	63%	-0.02
nuke	B	6	3–3	50%	-0.01
ancient	A	5	3–2	60%	-0.02
cache	—	4	2–2	50%	0.00
train	—	2	0–2	0%	-0.01
overpass	—	1	1–0	100%	-0.02
vertigo	—	1	1–0	100%	-0.04
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

312Matches

54%Win rate

1.30Avg K/D

80.4ADR

44%Headshot %

Clutches & streaks

47%1v1 clutch win

13%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	49	49%	1.02	16.1
Dust2	45	56%	0.97	14.3
Ancient	24	50%	1.02	17.3
Vertigo	23	78%	1.31	16.9
Mirage	23	74%	1.34	17.7
Inferno	13	69%	1.52	18.6
Nuke	4	25%	1.07	20.3
Cache	1	0%	0.86	12.0

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.

22.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.8%Spray accuracy

85.8%Counter-strafing

10.3°Preaim

607msReaction time

14.4%T opening success

43.8%CT opening success

0.47Enemies flashed / flash

7.0%Flash assists

8.34HE damage / grenade

7.23Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4694 — below the 0.5 mark we flag
Grenade Lineups →
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 14.3875% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.00	11%	29 Aug →
mirage	12–12	-0.06	11%	29 Aug →
anubis	12–12	-0.05	25%	27 Aug →
nuke	13–10	-0.01	14%	27 Aug →
inferno	2–13	-0.04	26%	27 Aug →
dust2	12–12	0.02	29%	25 Aug →
dust2	13–11	0.03	28%	18 Aug →
mirage	5–5	-0.04	50%	18 Aug →
dust2	13–5	0.06	33%	18 Aug →
dust2	13–9	-0.02	17%	16 Aug →
ancient	13–8	0.01	23%	16 Aug →
mirage	10–13	-0.01	30%	16 Aug →
anubis	8–13	-0.07	24%	10 Aug →
mirage	13–6	0.03	18%	8 Aug →
dust2	10–13	-0.04	22%	8 Aug →
mirage	1–13	0.11	100%	8 Aug →
nuke	13–3	0.01	18%	7 Aug →
dust2	13–10	0.01	16%	3 Aug →
mirage	13–5	0.06	23%	3 Aug →
dust2	12–12	-0.01	15%	3 Aug →
mirage	13–9	0.01	15%	2 Aug →
dust2	6–13	0.01	26%	1 Aug →
mirage	11–13	-0.01	20%	1 Aug →
inferno	4–13	-0.08	16%	30 Jul →
dust2	13–6	-0.01	27%	30 Jul →
nuke	9–13	-0.05	28%	28 Jul →
inferno	13–11	-0.03	17%	28 Jul →
nuke	13–3	0.04	41%	28 Jul →
nuke	10–13	-0.05	22%	24 Jul →
dust2	12–12	-0.03	18%	24 Jul →
anubis	13–4	0.01	17%	23 Jul →
nuke	11–13	0.00	17%	23 Jul →
ancient	14–16	-0.07	18%	20 Jul →
cache	12–12	-0.03	13%	19 Jul →
mirage	13–9	-0.05	2%	19 Jul →
dust2	13–9	-0.03	16%	19 Jul →
dust2	13–1	0.00	18%	19 Jul →
ancient	13–8	-0.05	20%	19 Jul →
dust2	13–8	0.06	26%	16 Jul →
mirage	13–8	0.01	10%	15 Jul →
mirage	1–13	-0.05	10%	15 Jul →
dust2	12–12	-0.01	22%	15 Jul →
ancient	13–5	0.00	17%	14 Jul →
dust2	13–4	0.04	30%	14 Jul →
dust2	13–11	-0.01	26%	14 Jul →
dust2	11–13	-0.02	18%	10 Jul →
dust2	13–5	0.00	14%	10 Jul →
inferno	13–4	-0.01	19%	10 Jul →
dust2	11–13	-0.01	25%	5 Jul →
dust2	13–4	-0.02	26%	5 Jul →
dust2	13–11	-0.05	19%	5 Jul →
dust2	3–13	-0.04	17%	3 Jul →
mirage	15–15	-0.05	19%	2 Jul →
inferno	13–7	-0.01	25%	28 Jun →
dust2	9–13	0.00	22%	24 Jun →
dust2	13–3	-0.03	18%	23 Jun →
train	6–13	0.01	22%	22 Jun →
anubis	3–13	-0.08	19%	16 Jun →
mirage	13–4	-0.04	27%	15 Jun →
dust2	13–4	-0.00	31%	15 Jun →
dust2	13–4	-0.02	14%	14 Jun →
dust2	13–1	0.02	20%	14 Jun →
mirage	11–13	-0.01	24%	9 Jun →
dust2	13–7	-0.03	28%	9 Jun →
mirage	13–2	0.03	21%	6 Jun →
dust2	12–12	-0.05	13%	6 Jun →
dust2	13–9	0.07	18%	4 Jun →
cache	13–5	0.02	30%	4 Jun →
cache	9–13	-0.02	27%	4 Jun →
ancient	10–13	-0.00	15%	3 Jun →
dust2	13–5	-0.01	16%	2 Jun →
train	10–13	-0.02	24%	1 Jun →
dust2	4–13	-0.11	31%	1 Jun →
mirage	13–4	0.01	21%	31 May →
dust2	13–11	-0.06	20%	31 May →
mirage	13–9	-0.06	15%	29 May →
anubis	13–0	0.09	13%	29 May →
anubis	13–5	-0.03	13%	27 May →
dust2	3–13	-0.05	21%	25 May →
dust2	13–8	0.02	21%	25 May →
overpass	13–5	-0.02	10%	24 May →
vertigo	13–5	-0.04	27%	24 May →
mirage	13–8	0.04	19%	24 May →
dust2	13–10	-0.09	11%	22 May →
anubis	2–13	-0.05	13%	22 May →
dust2	13–5	-0.04	29%	21 May →
mirage	13–7	0.02	16%	21 May →
mirage	13–10	-0.05	36%	20 May →
anubis	13–6	0.03	29%	20 May →
cache	13–11	0.05	17%	17 May →
dust2	13–0	0.08	42%	17 May →
office	13–7	-0.01	19%	16 May →
inferno	13–4	0.01	25%	16 May →
dust2	13–8	0.00	19%	16 May →
dust2	13–11	-0.07	21%	16 May →
inferno	11–13	-0.05	29%	16 May →
inferno	13–8	0.05	19%	14 May →
dust2	1–13	0.04	50%	14 May →
mirage	3–3	0.01	60%	13 May →
mirage	11–13	-0.06	26%	12 May →