crr1z — CS2 Stats

76561198231529080[U:1:271263352]

779Tracked matches54%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating22,135Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#6049 of 19569 tracked

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning64

Utility64

0–100 skill scores via Leetify.

Recent form

COLD54–38–8Last 10054%Win rateLTLWLTWLWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility6.4

Positioning6.4

Opening Duels5.1

Clutch4.8

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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim7.8

Positioning6.4

Utility6.4

Mechanics6.5

Opening Duels5.1

Win Impact6.3

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time614ms−26ms

first ⅓ avg 641ms → last ⅓ avg 614ms

Headshot accuracy16.5%+1.1%

first ⅓ avg 15.5% → last ⅓ avg 16.5%

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

0.19Best rating — cache 13–7

13–2Biggest win — ancient

7Longest win streak

6–7In matches decided by ≤2 rounds

19Overtime games

Map breakdown

infernoBest map · 67% over 18overpassWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	10–11	48%	0.03
inferno	S	18	12–6	67%	0.01
nuke	B	16	8–8	50%	0.03
dust2	B	14	7–7	50%	0.00
overpass	C	12	5–7	42%	0.03
anubis	A	9	5–4	56%	0.03
cache	S	9	6–3	67%	0.05
mirage	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

517Matches

52%Win rate

1.27Avg K/D

87.9ADR

27%Headshot %

Clutches & streaks

44%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	39	51%	1.36	19.0
Mirage	36	50%	1.17	16.9
Ancient	33	58%	1.27	18.2
Inferno	25	52%	1.17	16.8
Overpass	25	60%	1.16	17.9
Dust2	17	53%	1.04	16.1
Train	9	33%	1.06	17.9
Vertigo	7	29%	1.28	19.4

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.

16.5%Headshot accuracy

42.6%Accuracy (enemy spotted)

43.1%Spray accuracy

79.5%Counter-strafing

10.3°Preaim

619msReaction time

39.9%T opening success

60.5%CT opening success

0.57Enemies flashed / flash

8.6%Flash assists

11.73HE damage / grenade

9.81Flashes / 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 39.8755% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	0.00	11%	20 Aug →
anubis	15–15	-0.00	10%	11 Aug →
inferno	5–13	-0.06	13%	11 Aug →
cache	13–9	0.07	28%	11 Aug →
cache	11–13	-0.02	22%	27 Jul →
cache	15–15	0.07	12%	25 Jul →
anubis	13–7	0.10	25%	25 Jul →
cache	3–6	0.03	12%	25 Jul →
dust2	13–6	0.01	22%	25 Jul →
inferno	10–13	-0.04	6%	25 Jul →
nuke	13–5	0.06	27%	25 Jul →
ancient	3–13	-0.05	20%	25 Jul →
ancient	13–5	0.01	17%	24 Jul →
dust2	6–13	-0.08	20%	18 Jul →
cache	13–10	0.04	22%	18 Jul →
nuke	15–15	0.03	13%	18 Jul →
cache	16–14	0.02	11%	18 Jul →
ancient	13–5	0.05	10%	11 Jul →
inferno	7–13	-0.01	11%	11 Jul →
cache	13–11	-0.02	19%	11 Jul →
ancient	9–13	-0.05	20%	11 Jul →
dust2	10–13	0.00	24%	11 Jul →
dust2	15–15	0.01	7%	10 Jul →
nuke	13–5	-0.02	15%	10 Jul →
ancient	13–6	0.04	10%	10 Jul →
dust2	7–13	-0.00	11%	9 Jul →
cache	13–7	0.19	22%	9 Jul →
inferno	13–10	0.03	32%	3 Jul →
anubis	13–10	0.08	18%	30 Jun →
inferno	4–13	-0.03	13%	28 Jun →
nuke	13–7	0.09	10%	28 Jun →
overpass	6–13	0.06	20%	27 Jun →
ancient	16–13	0.06	12%	26 Jun →
ancient	13–5	0.06	11%	26 Jun →
inferno	13–5	0.10	22%	23 Jun →
overpass	6–13	-0.03	13%	23 Jun →
dust2	13–4	0.12	15%	23 Jun →
anubis	11–13	0.05	14%	23 Jun →
ancient	9–13	0.05	13%	23 Jun →
dust2	4–13	-0.09	16%	14 Jun →
anubis	13–8	-0.01	14%	14 Jun →
nuke	13–10	-0.02	14%	14 Jun →
overpass	13–10	-0.02	10%	14 Jun →
inferno	5–13	-0.04	12%	14 Jun →
inferno	16–13	-0.02	16%	8 Jun →
ancient	12–16	0.05	12%	8 Jun →
ancient	7–13	0.00	14%	8 Jun →
ancient	11–13	0.01	7%	6 Jun →
anubis	7–13	0.05	6%	6 Jun →
inferno	16–13	0.08	23%	6 Jun →
dust2	13–9	0.03	23%	6 Jun →
nuke	8–13	-0.05	13%	6 Jun →
nuke	7–13	-0.02	16%	5 Jun →
ancient	13–6	0.04	20%	5 Jun →
ancient	6–13	-0.02	10%	5 Jun →
overpass	13–7	0.09	19%	30 May →
ancient	13–10	0.05	14%	30 May →
overpass	14–16	0.04	8%	30 May →
dust2	7–13	-0.03	9%	26 May →
inferno	13–8	0.03	13%	26 May →
anubis	15–15	-0.03	11%	23 May →
mirage	16–12	0.03	29%	23 May →
inferno	16–13	-0.03	6%	23 May →
nuke	13–10	0.13	16%	23 May →
ancient	16–13	0.10	14%	23 May →
ancient	13–10	0.08	14%	20 May →
overpass	13–9	0.08	16%	20 May →
nuke	13–11	0.13	21%	20 May →
ancient	4–13	0.02	15%	20 May →
overpass	13–5	-0.00	13%	16 May →
inferno	16–13	0.03	22%	16 May →
nuke	15–15	0.03	8%	16 May →
dust2	13–8	0.00	21%	16 May →
nuke	13–6	0.00	8%	16 May →
anubis	13–6	0.04	12%	16 May →
inferno	13–12	0.04	13%	16 May →
ancient	15–15	-0.02	15%	15 May →
overpass	8–13	0.08	13%	15 May →
inferno	13–10	0.07	14%	15 May →
dust2	6–13	-0.02	16%	12 May →
nuke	8–13	0.00	15%	12 May →
inferno	13–9	-0.00	8%	12 May →
overpass	13–9	-0.07	9%	12 May →
nuke	3–13	0.04	6%	9 May →
ancient	13–2	0.07	11%	9 May →
ancient	8–13	0.05	25%	9 May →
dust2	13–9	0.01	17%	9 May →
overpass	11–13	0.01	12%	9 May →
dust2	13–6	0.12	18%	9 May →
cache	13–11	0.08	19%	8 May →
inferno	9–13	0.01	18%	8 May →
overpass	8–13	0.05	16%	8 May →
nuke	8–13	-0.05	21%	8 May →
overpass	15–15	0.12	8%	4 May →
nuke	14–16	0.01	20%	4 May →
inferno	13–9	0.05	17%	4 May →
anubis	13–4	-0.02	21%	3 May →
inferno	13–7	0.00	7%	3 May →
dust2	13–11	-0.00	21%	3 May →
nuke	13–6	0.06	31%	3 May →