Reijo — CS2 Stats

76561199385290041[U:1:1425024313]Steam profile ↗1 game ban

1,784Tracked matches39%Win rate2022Tracked since

CSDB Rating2.3 Learning

Premier CS Rating7,880Light Blue band · top ~65% of ranked players (population est.)

CSDB Leaderboard#41437 of 55735 tracked

FaceitLevel 2 · 951 ELOTop 97.9% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim12

Positioning45

Utility58

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateTWLLLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim1.2

Aggression3.4

Utility5.8

Positioning4.5

Opening Duels0.5

Clutch2.6

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, positioning profile.

Where you differ: lower opening-duel success; 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. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2

Positioning4.5

Utility5.8

Mechanics1.8

Opening Duels0.5

Win Impact1.4

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time654ms−81ms

first ⅓ avg 735ms → last ⅓ avg 654ms

Headshot accuracy10.1%−3.6%

first ⅓ avg 13.7% → last ⅓ avg 10.1%

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 13–1

13–0Biggest win — ancient

11Longest win streak

8–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 60% over 10anubisWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	25	13–12	52%	-0.02
nuke	A	18	10–8	56%	-0.01
inferno	A	17	10–7	59%	-0.01
anubis	C	12	5–7	42%	-0.04
dust2	A	10	6–4	60%	0.01
overpass	B	8	4–4	50%	-0.02
mirage	—	4	0–4	0%	-0.06
cache	—	3	2–1	67%	-0.01
sanctum	—	1	1–0	100%	0.13
vertigo	—	1	0–1	0%	-0.00
poseidon	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

354Matches

51%Win rate

0.75Avg K/D

61.7ADR

37%Headshot %

Clutches & streaks

33%1v1 clutch win

12%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	82	67%	0.82	11.6
Ancient	69	54%	0.75	11.4
Inferno	56	45%	0.70	10.6
Dust2	43	42%	0.72	11.0
Anubis	35	37%	0.70	10.6
Mirage	22	32%	0.54	8.8
Train	21	71%	0.76	9.9
Overpass	13	54%	1.38	11.2

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.

10.1%Headshot accuracy

25.8%Accuracy (enemy spotted)

28.4%Spray accuracy

58.0%Counter-strafing

13.3°Preaim

651msReaction time

33.6%T opening success

30.6%CT opening success

0.48Enemies flashed / flash

4.9%Flash assists

7.08HE damage / grenade

11.12Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3465° — above the 12° mark we flag
Aim Training →
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 10.1202% — below the 15% mark we flag
Aim Training →
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 0.4822 — below the 0.5 mark we flag
Grenade Lineups →

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.

42% win rate across 12 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
ancient	15–15	0.02	9%	30 Aug →
inferno	13–7	-0.03	11%	27 Aug →
inferno	11–13	-0.03	14%	19 Aug →
anubis	2–13	-0.11	0%	16 Aug →
dust2	6–13	-0.02	15%	16 Aug →
anubis	3–13	-0.07	6%	10 Aug →
ancient	3–13	-0.09	20%	8 Aug →
nuke	13–9	-0.03	19%	8 Aug →
dust2	10–13	0.00	9%	8 Aug →
inferno	7–13	-0.04	11%	8 Aug →
ancient	13–9	0.00	10%	8 Aug →
anubis	11–13	-0.09	4%	8 Aug →
inferno	11–13	-0.02	12%	3 Aug →
nuke	13–4	0.08	13%	3 Aug →
ancient	13–7	-0.02	4%	3 Aug →
ancient	15–15	-0.04	8%	30 Jul →
mirage	2–13	-0.08	4%	30 Jul →
ancient	1–13	-0.10	6%	28 Jul →
inferno	10–13	-0.07	5%	28 Jul →
nuke	13–9	-0.04	4%	20 Jul →
inferno	13–6	-0.01	12%	20 Jul →
ancient	13–10	0.03	14%	20 Jul →
nuke	9–13	-0.00	17%	19 Jul →
ancient	13–6	0.02	16%	19 Jul →
anubis	13–4	0.05	4%	19 Jul →
inferno	16–13	0.02	15%	19 Jul →
cache	11–13	-0.04	8%	19 Jul →
anubis	11–13	-0.05	14%	9 Jul →
ancient	9–13	-0.06	10%	9 Jul →
ancient	3–13	-0.06	4%	6 Jul →
ancient	15–15	-0.04	7%	5 Jul →
nuke	13–11	-0.01	17%	2 Jul →
anubis	8–13	-0.04	11%	29 Jun →
overpass	15–15	-0.02	21%	28 Jun →
nuke	5–13	-0.02	17%	24 Jun →
ancient	5–13	-0.05	10%	24 Jun →
nuke	13–7	-0.04	8%	24 Jun →
dust2	10–13	-0.01	16%	23 Jun →
nuke	13–8	-0.04	17%	18 Jun →
ancient	13–9	-0.09	13%	18 Jun →
anubis	13–7	-0.01	5%	18 Jun →
nuke	16–14	0.01	8%	18 Jun →
ancient	13–8	-0.02	13%	12 Jun →
inferno	13–11	0.09	7%	29 May →
ancient	13–5	0.01	10%	29 May →
overpass	13–3	0.01	8%	29 May →
ancient	13–6	0.03	10%	28 May →
inferno	13–11	0.02	10%	15 May →
ancient	13–4	0.01	8%	15 May →
ancient	8–13	-0.10	10%	14 May →
overpass	13–8	-0.05	7%	14 May →
dust2	13–1	0.17	24%	14 May →
nuke	13–10	-0.04	15%	10 May →
anubis	7–13	-0.02	6%	6 May →
overpass	4–13	-0.11	15%	6 May →
inferno	8–13	-0.09	20%	4 May →
anubis	13–5	-0.02	9%	4 May →
inferno	8–13	0.02	15%	4 May →
cache	13–4	0.00	13%	4 May →
nuke	15–15	0.01	8%	3 May →
ancient	13–4	-0.04	10%	29 Apr →
inferno	13–11	0.01	12%	29 Apr →
ancient	13–9	0.01	3%	29 Apr →
nuke	13–2	0.14	7%	29 Apr →
ancient	13–9	0.00	11%	29 Apr →
cache	13–11	0.00	15%	29 Apr →
inferno	6–9	-0.04	8%	28 Apr →
inferno	13–10	-0.04	14%	27 Apr →
overpass	13–7	0.01	21%	27 Apr →
nuke	8–8	0.10	6%	27 Apr →
overpass	1–13	-0.07	14%	25 Apr →
mirage	10–13	-0.01	9%	23 Apr →
dust2	13–9	-0.07	13%	23 Apr →
dust2	13–8	0.05	9%	23 Apr →
nuke	5–13	-0.10	40%	23 Apr →
inferno	13–10	-0.05	18%	23 Apr →
mirage	2–13	-0.09	4%	23 Apr →
nuke	6–9	-0.09	9%	23 Apr →
ancient	13–0	0.06	17%	23 Apr →
inferno	9–6	0.11	9%	21 Apr →
inferno	9–3	-0.04	20%	20 Apr →
dust2	13–11	-0.06	18%	17 Apr →
dust2	16–12	0.02	13%	17 Apr →
anubis	13–2	0.01	26%	17 Apr →
ancient	9–13	-0.00	9%	17 Apr →
dust2	8–13	0.03	15%	17 Apr →
nuke	9–13	-0.03	13%	17 Apr →
overpass	15–15	0.02	10%	17 Apr →
anubis	5–13	-0.09	13%	17 Apr →
anubis	13–5	-0.04	19%	17 Apr →
nuke	4–9	-0.05	10%	17 Apr →
dust2	13–4	0.02	10%	16 Apr →
ancient	11–13	0.04	8%	15 Apr →
mirage	8–13	-0.06	16%	11 Apr →
nuke	13–9	-0.06	21%	11 Apr →
ancient	8–13	-0.08	5%	11 Apr →
sanctum	9–6	0.13	6%	11 Apr →
overpass	9–2	0.07	19%	11 Apr →
vertigo	1–9	-0.00	7%	11 Apr →
poseidon	9–7	0.02	13%	11 Apr →