Crash Out Chronicles — CS2 Stats

76561198147037687[U:1:186771959]Steam profile ↗✓ No bans

1,438Tracked matches72%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating14,213Blue band · top ~32.6% of ranked players (population est.)

CSDB Leaderboard#7951 of 11857 tracked

FaceitLevel 3 · 755 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning56

Utility47

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateWWWWWWLWWW

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

Player DNA

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

Aim8.0

Aggression8.8

Utility4.7

Positioning5.6

Opening Duels4.3

Clutch0.0

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 ropz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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

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

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim8.0

Positioning5.6

Utility4.7

Mechanics6.8

Opening Duels4.3

Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.08

first ⅓ avg -0.05 → last ⅓ avg 0.03

Reaction time599ms−50ms

first ⅓ avg 648ms → last ⅓ avg 599ms

Headshot accuracy23.3%+10.3%

first ⅓ avg 13.0% → last ⅓ avg 23.3%

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

0.22Best rating — inferno 13–10

13–1Biggest win — dust2

6Longest win streak

W6Current streak

5–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 78% over 18infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	18	14–4	78%	0.02
inferno	D	18	6–12	33%	0.01
ancient	B	17	8–9	47%	-0.01
anubis	B	13	7–6	54%	-0.00
dust2	S	13	9–4	69%	0.03
cache	B	11	5–6	45%	-0.01
overpass	A	5	3–2	60%	-0.05
nuke	—	4	2–2	50%	-0.00
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches

50%Win rate

0.49Avg K/D

46.6ADR

44%Headshot %

Clutches & streaks

12%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	10	40%	0.44	7.2
Train	4	75%	0.71	10.0
Nuke	4	75%	0.46	9.0
Overpass	3	67%	0.50	9.0
Inferno	3	33%	0.53	9.3
Dust2	2	50%	0.42	7.0
Ancient	2	0%	0.36	6.0

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.

23.7%Headshot accuracy

36.0%Accuracy (enemy spotted)

39.9%Spray accuracy

80.6%Counter-strafing

10.0°Preaim

577msReaction time

36.6%T opening success

57.4%CT opening success

0.51Enemies flashed / flash

6.7%Flash assists

7.16HE 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.

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 36.6134% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–13	0.06	34%	27 Aug →
mirage	13–8	0.05	30%	27 Aug →
ancient	13–9	0.05	38%	27 Aug →
inferno	13–11	0.05	29%	22 Aug →
mirage	13–8	0.09	24%	22 Aug →
mirage	16–12	0.09	15%	22 Aug →
inferno	11–13	-0.01	16%	21 Aug →
cache	13–4	0.07	18%	21 Aug →
nuke	13–8	0.16	15%	14 Aug →
ancient	13–9	0.09	28%	14 Aug →
anubis	13–7	0.02	14%	14 Aug →
inferno	13–11	0.07	33%	9 Aug →
inferno	10–13	0.07	37%	1 Aug →
dust2	13–1	0.12	18%	28 Jul →
ancient	13–7	0.12	27%	28 Jul →
mirage	13–10	0.07	18%	26 Jul →
cache	13–8	0.09	22%	26 Jul →
mirage	13–7	0.13	51%	19 Jul →
cache	13–10	0.07	35%	19 Jul →
anubis	4–13	-0.09	27%	18 Jul →
cache	2–13	-0.02	58%	18 Jul →
inferno	13–7	0.13	28%	18 Jul →
inferno	15–15	0.04	23%	16 Jul →
inferno	13–11	-0.07	9%	15 Jul →
mirage	11–13	-0.05	16%	14 Jul →
anubis	5–13	-0.07	0%	14 Jul →
cache	13–10	-0.07	13%	14 Jul →
mirage	6–13	-0.10	14%	13 Jul →
cache	13–9	-0.05	11%	13 Jul →
cache	11–13	-0.04	18%	7 Jul →
cache	2–13	-0.06	17%	7 Jul →
cache	12–12	-0.03	5%	6 Jul →
cache	6–13	-0.04	28%	6 Jul →
cache	6–13	-0.06	14%	6 Jul →
anubis	13–5	0.06	22%	5 Jul →
dust2	13–1	0.16	32%	5 Jul →
ancient	15–15	-0.02	21%	3 Jul →
ancient	13–7	0.01	24%	2 Jul →
anubis	13–6	0.13	34%	2 Jul →
dust2	11–13	0.07	33%	2 Jul →
mirage	13–2	0.06	22%	30 Jun →
inferno	13–10	0.22	14%	30 Jun →
inferno	5–13	0.05	12%	30 Jun →
dust2	13–8	0.10	16%	30 Jun →
dust2	13–5	0.00	16%	30 Jun →
anubis	10–13	-0.01	3%	26 Jun →
ancient	13–6	0.01	22%	25 Jun →
dust2	13–9	0.10	27%	25 Jun →
inferno	13–8	0.11	15%	25 Jun →
mirage	11–0	0.12	38%	21 Jun →
overpass	13–1	-0.05	14%	21 Jun →
ancient	2–13	0.03	18%	21 Jun →
dust2	13–5	0.08	16%	20 Jun →
mirage	13–6	0.14	29%	20 Jun →
mirage	13–7	0.01	19%	20 Jun →
mirage	13–6	0.05	34%	20 Jun →
dust2	13–9	0.14	27%	20 Jun →
dust2	6–13	-0.08	24%	16 Jun →
ancient	6–13	-0.09	8%	15 Jun →
ancient	8–13	-0.03	8%	15 Jun →
mirage	7–13	0.00	15%	15 Jun →
inferno	13–16	-0.04	17%	14 Jun →
mirage	6–13	0.00	17%	14 Jun →
overpass	4–13	-0.02	26%	13 Jun →
anubis	5–13	-0.10	5%	6 Jun →
mirage	13–11	-0.08	7%	30 May →
ancient	6–13	-0.05	13%	26 May →
inferno	8–13	-0.03	7%	25 May →
dust2	9–13	-0.11	15%	25 May →
inferno	6–13	-0.06	8%	18 May →
dust2	8–13	-0.12	18%	16 May →
ancient	13–8	-0.05	18%	16 May →
ancient	13–8	-0.06	13%	14 May →
dust2	16–13	-0.06	16%	4 May →
nuke	2–13	-0.05	18%	28 Apr →
train	7–13	-0.02	13%	27 Apr →
dust2	13–9	-0.00	17%	17 Apr →
overpass	2–13	-0.05	14%	17 Apr →
nuke	13–16	-0.05	11%	17 Apr →
ancient	13–8	0.06	29%	16 Apr →
ancient	6–13	-0.07	19%	16 Apr →
inferno	10–13	-0.05	13%	15 Apr →
nuke	13–7	-0.06	4%	15 Apr →
mirage	13–9	-0.07	10%	8 Apr →
inferno	11–13	-0.12	4%	8 Apr →
mirage	13–6	-0.06	9%	6 Apr →
ancient	15–15	-0.06	13%	6 Apr →
anubis	13–8	-0.02	12%	6 Apr →
overpass	13–6	-0.06	17%	6 Apr →
overpass	13–10	-0.06	0%	25 Mar →
ancient	2–13	-0.11	8%	25 Mar →
inferno	11–13	-0.00	8%	24 Mar →
mirage	16–14	-0.01	14%	15 Mar →
inferno	5–13	-0.05	5%	15 Mar →
anubis	10–13	-0.08	13%	9 Mar →
ancient	6–13	-0.09	19%	9 Mar →
inferno	6–13	-0.04	12%	8 Mar →
anubis	13–6	-0.05	15%	8 Mar →
anubis	13–7	0.10	20%	6 Mar →
anubis	6–13	0.01	16%	6 Mar →