Priest — CS2 Stats

US76561198426822840[U:1:466557112]Steam profile ↗✓ No bans

495Tracked matches43%Win rate2021Tracked since

CSDB Rating4.8 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning46

Utility37

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWTLTWLLWLL

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

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

Aim7.5

Aggression4.4

Utility3.7

Positioning4.6

Opening Duels0.4

Clutch4.2

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 641ms 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

Positioning4.6

Utility3.7

Mechanics8.4

Opening Duels0.5

Win Impact2.6

Composite 4.8/10 (Developing), 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 rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time644ms+20ms

first ⅓ avg 624ms → last ⅓ avg 644ms

Headshot accuracy22.6%+2.3%

first ⅓ avg 20.3% → last ⅓ avg 22.6%

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

0.14Best rating — inferno 13–8

13–4Biggest win — dust2

4Longest win streak

9–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	13–15	46%	0.01
dust2	B	24	13–11	54%	0.00
ancient	D	20	6–14	30%	0.01
inferno	B	11	5–6	45%	0.02
nuke	S	6	4–2	67%	0.01
cache	—	4	1–3	25%	0.01
overpass	—	4	2–2	50%	-0.02
anubis	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches

45%Win rate

1.01Avg K/D

75.3ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	43	30%	0.98	15.7
Ancient	21	43%	0.80	13.5
Dust2	17	59%	1.13	16.4
Inferno	12	50%	1.18	15.9
Nuke	1	100%	0.44	7.0
Overpass	1	0%	0.82	14.0
Anubis	1	0%	1.89	36.0
Cache	1	100%	1.07	15.0

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.

22.9%Headshot accuracy

33.3%Accuracy (enemy spotted)

36.8%Spray accuracy

87.8%Counter-strafing

9.7°Preaim

641msReaction time

34.0%T opening success

29.2%CT opening success

0.56Enemies flashed / flash

6.6%Flash assists

6.23HE damage / grenade

2.43Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4268 — below the 4 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 34.0159% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–13	0.03	25%	25 Aug →
inferno	15–15	0.05	26%	24 May →
dust2	13–16	-0.05	16%	19 May →
cache	12–12	0.04	11%	18 May →
dust2	13–6	0.06	19%	14 May →
ancient	7–13	0.09	21%	14 May →
ancient	10–13	-0.04	27%	13 May →
dust2	13–7	0.06	18%	11 May →
dust2	2–13	-0.05	28%	11 May →
ancient	14–16	0.03	31%	10 May →
dust2	13–11	-0.06	26%	10 May →
cache	11–13	-0.00	20%	9 May →
cache	4–13	-0.04	19%	9 May →
dust2	13–6	0.03	14%	7 May →
ancient	6–13	-0.01	13%	5 May →
inferno	6–13	-0.05	18%	30 Apr →
mirage	13–9	0.01	33%	27 Apr →
dust2	8–13	-0.05	31%	21 Apr →
mirage	8–13	-0.12	45%	21 Apr →
mirage	13–6	-0.01	13%	21 Apr →
ancient	11–13	0.09	24%	19 Apr →
ancient	8–13	-0.03	26%	19 Apr →
ancient	13–7	0.05	26%	16 Apr →
dust2	13–4	0.01	29%	15 Apr →
mirage	10–13	0.01	22%	14 Apr →
inferno	13–7	0.00	25%	13 Apr →
inferno	7–13	-0.02	14%	10 Apr →
mirage	16–13	0.01	24%	9 Apr →
ancient	13–8	0.04	23%	7 Apr →
dust2	11–13	0.01	17%	4 Apr →
ancient	9–13	-0.01	15%	30 Mar →
dust2	13–11	0.03	25%	26 Mar →
mirage	13–16	-0.02	23%	25 Mar →
inferno	16–13	0.02	38%	24 Mar →
mirage	13–6	0.07	30%	24 Mar →
nuke	13–6	0.05	28%	21 Mar →
nuke	13–8	0.07	29%	15 Mar →
mirage	8–13	-0.03	39%	12 Mar →
dust2	13–8	-0.03	20%	12 Mar →
ancient	8–13	0.07	52%	12 Mar →
mirage	13–10	0.01	27%	11 Mar →
mirage	9–13	0.05	14%	10 Mar →
mirage	13–6	0.12	29%	8 Mar →
dust2	15–15	0.02	39%	8 Mar →
mirage	3–13	-0.08	11%	8 Mar →
ancient	10–13	0.02	26%	8 Mar →
inferno	16–14	0.04	35%	7 Mar →
ancient	7–0	0.02	36%	7 Mar →
inferno	13–10	0.00	20%	6 Mar →
anubis	10–13	-0.00	35%	6 Mar →
mirage	13–8	-0.02	25%	5 Mar →
ancient	11–13	-0.06	13%	5 Mar →
ancient	13–11	-0.01	18%	2 Mar →
dust2	6–0	0.07	9%	2 Mar →
overpass	6–13	-0.01	20%	1 Mar →
mirage	10–13	0.02	16%	1 Mar →
dust2	8–13	0.01	26%	1 Mar →
dust2	11–13	-0.01	10%	1 Mar →
dust2	13–9	-0.01	18%	1 Mar →
inferno	15–15	-0.01	20%	1 Mar →
ancient	6–13	-0.01	13%	1 Mar →
ancient	7–13	-0.04	19%	1 Mar →
anubis	2–13	0.01	27%	28 Feb →
mirage	9–13	-0.00	21%	28 Feb →
ancient	13–10	0.10	32%	28 Feb →
inferno	13–8	0.14	19%	27 Feb →
mirage	10–13	-0.02	24%	26 Feb →
nuke	13–8	-0.02	22%	26 Feb →
ancient	7–13	-0.05	27%	26 Feb →
mirage	10–13	0.01	10%	24 Feb →
ancient	11–13	-0.06	19%	24 Feb →
dust2	13–9	0.01	14%	24 Feb →
mirage	6–13	-0.05	18%	23 Feb →
mirage	16–12	0.03	24%	22 Feb →
mirage	8–13	0.02	24%	22 Feb →
dust2	13–5	-0.03	30%	21 Feb →
overpass	16–13	-0.01	26%	21 Feb →
overpass	5–13	-0.08	29%	20 Feb →
nuke	8–13	0.04	22%	19 Feb →
dust2	6–13	0.03	18%	19 Feb →
mirage	10–13	-0.05	20%	19 Feb →
mirage	13–16	-0.01	11%	18 Feb →
mirage	22–20	0.01	21%	18 Feb →
mirage	10–13	0.04	18%	17 Feb →
dust2	9–13	0.02	24%	15 Feb →
nuke	13–8	-0.05	18%	15 Feb →
mirage	13–11	0.00	20%	14 Feb →
mirage	13–10	0.06	30%	13 Feb →
dust2	7–13	-0.02	10%	13 Feb →
anubis	13–9	-0.02	27%	11 Feb →
inferno	7–13	0.04	21%	11 Feb →
ancient	13–5	0.00	21%	11 Feb →
dust2	13–10	0.03	17%	8 Feb →
dust2	9–13	-0.03	25%	8 Feb →
mirage	13–11	0.11	21%	8 Feb →
nuke	6–13	0.00	22%	8 Feb →
dust2	11–2	-0.05	0%	8 Feb →
inferno	15–15	0.00	8%	8 Feb →
overpass	13–11	0.04	30%	7 Feb →
mirage	16–14	0.06	23%	6 Feb →