cr4nkkkkk — CS2 Stats

76561198426577777[U:1:466312049]

2,874Tracked matches55%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating24,879Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning52

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLTLWWWWWLW

Last 10 vs previous 10: +0pp win rate · +0.06 avg rating

Player DNA

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

Aim8.7

Aggression9.6

Utility5.2

Positioning5.2

Opening Duels4.2

Clutch6.0

Sharp aimerStrong 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 device 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.7

Positioning5.2

Utility5.2

Mechanics8.1

Opening Duels4.2

Win Impact6.7

Composite 6.9/10 (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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time562ms−63ms

first ⅓ avg 624ms → last ⅓ avg 562ms

Headshot accuracy26.9%+4.2%

first ⅓ avg 22.7% → last ⅓ avg 26.9%

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 13–10

13–1Biggest win — mirage

5Longest win streak

8–13In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 73% over 15mirageWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	19–17	53%	-0.01
inferno	S	15	11–4	73%	0.01
ancient	B	12	6–6	50%	0.01
mirage	C	11	4–7	36%	-0.02
cache	B	10	5–5	50%	-0.01
nuke	S	7	5–2	71%	-0.00
anubis	B	6	3–3	50%	-0.01
overpass	—	2	1–1	50%	-0.02
fachwerk	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,102Matches

51%Win rate

1.05Avg K/D

76.4ADR

47%Headshot %

Clutches & streaks

50%1v1 clutch win

10%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	15	47%	1.02	15.8
Inferno	12	42%	0.81	15.6
Ancient	10	50%	0.86	14.6
Mirage	7	43%	0.91	14.3
Anubis	7	86%	1.34	17.1
Nuke	6	67%	0.98	19.8
Cache	1	0%	0.79	15.0
Overpass	1	0%	0.88	22.0

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.

26.4%Headshot accuracy

34.5%Accuracy (enemy spotted)

35.8%Spray accuracy

86.2%Counter-strafing

7.5°Preaim

562msReaction time

35.3%T opening success

58.5%CT opening success

0.58Enemies flashed / flash

5.7%Flash assists

7.17HE damage / grenade

6.87Flashes / 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 35.3421% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	0.00	22%	28 Aug →
dust2	12–12	0.04	32%	27 Aug →
dust2	1–2	0.00	50%	27 Aug →
cache	13–8	-0.04	38%	25 Aug →
inferno	13–8	-0.02	27%	25 Aug →
dust2	13–8	0.11	19%	25 Aug →
cache	13–8	0.04	19%	23 Aug →
nuke	13–11	0.04	22%	22 Aug →
dust2	6–13	0.05	31%	22 Aug →
dust2	13–9	0.09	36%	21 Aug →
dust2	13–6	-0.02	19%	21 Aug →
nuke	13–6	0.10	25%	20 Aug →
dust2	13–5	-0.07	40%	20 Aug →
dust2	13–5	-0.01	33%	20 Aug →
inferno	6–13	0.03	15%	20 Aug →
ancient	13–11	0.02	27%	20 Aug →
dust2	11–13	-0.00	24%	20 Aug →
nuke	13–11	-0.08	10%	18 Aug →
dust2	8–13	-0.16	0%	18 Aug →
inferno	3–4	-0.11	25%	17 Aug →
dust2	7–13	-0.01	21%	17 Aug →
mirage	13–1	-0.09	19%	16 Aug →
cache	8–13	-0.03	35%	16 Aug →
dust2	13–11	-0.03	28%	16 Aug →
cache	11–13	0.05	32%	16 Aug →
dust2	13–2	-0.06	28%	16 Aug →
dust2	1–13	-0.12	50%	14 Aug →
inferno	11–13	-0.00	21%	14 Aug →
mirage	6–13	-0.01	23%	14 Aug →
dust2	13–6	0.05	37%	11 Aug →
ancient	13–2	0.07	29%	11 Aug →
mirage	13–3	0.07	22%	11 Aug →
ancient	13–11	0.01	27%	9 Aug →
anubis	12–16	0.01	20%	9 Aug →
dust2	17–19	-0.02	20%	8 Aug →
dust2	11–13	0.00	25%	8 Aug →
mirage	3–13	-0.04	33%	7 Aug →
nuke	13–8	0.00	33%	7 Aug →
dust2	11–13	0.03	26%	5 Aug →
anubis	13–7	0.04	13%	5 Aug →
dust2	1–13	-0.09	42%	1 Aug →
dust2	13–7	0.01	17%	1 Aug →
inferno	13–9	0.03	20%	26 Jul →
ancient	6–13	0.04	30%	26 Jul →
mirage	13–7	0.02	30%	26 Jul →
dust2	13–7	0.00	31%	26 Jul →
anubis	13–8	0.00	13%	25 Jul →
ancient	5–13	-0.07	19%	25 Jul →
ancient	12–12	-0.07	27%	25 Jul →
anubis	6–13	-0.04	19%	25 Jul →
dust2	13–6	0.09	23%	25 Jul →
dust2	16–14	0.02	24%	24 Jul →
nuke	7–13	-0.03	25%	24 Jul →
inferno	13–11	-0.02	14%	24 Jul →
inferno	8–2	-0.00	30%	24 Jul →
nuke	2–13	-0.04	21%	24 Jul →
cache	13–7	0.03	37%	23 Jul →
dust2	5–13	-0.01	15%	23 Jul →
mirage	4–13	-0.03	29%	23 Jul →
inferno	13–9	0.05	21%	23 Jul →
dust2	8–13	0.01	31%	19 Jul →
nuke	13–10	-0.01	21%	18 Jul →
anubis	9–13	-0.06	15%	18 Jul →
ancient	13–5	0.08	37%	18 Jul →
dust2	11–13	-0.03	36%	18 Jul →
mirage	6–13	-0.08	22%	18 Jul →
dust2	13–10	-0.02	23%	18 Jul →
mirage	5–13	-0.04	22%	18 Jul →
dust2	13–7	-0.05	27%	18 Jul →
ancient	16–13	0.02	29%	17 Jul →
dust2	13–7	-0.04	37%	17 Jul →
inferno	13–6	0.00	24%	17 Jul →
mirage	6–13	-0.06	11%	17 Jul →
ancient	13–3	-0.02	27%	17 Jul →
cache	14–16	-0.06	13%	17 Jul →
inferno	13–7	0.03	15%	17 Jul →
cache	13–10	-0.04	18%	16 Jul →
cache	13–10	-0.02	22%	16 Jul →
cache	10–13	-0.02	20%	16 Jul →
mirage	13–10	0.07	17%	16 Jul →
ancient	8–13	0.01	16%	16 Jul →
mirage	6–13	-0.04	23%	16 Jul →
inferno	13–10	0.14	14%	16 Jul →
cache	2–13	-0.07	26%	16 Jul →
dust2	16–12	0.00	22%	12 Jul →
inferno	11–13	-0.05	17%	11 Jul →
ancient	5–13	0.02	22%	11 Jul →
anubis	13–6	-0.01	27%	11 Jul →
fachwerk	12–12	-0.04	21%	9 Jul →
dust2	13–10	-0.01	34%	8 Jul →
dust2	13–8	0.02	33%	8 Jul →
inferno	13–3	0.04	17%	8 Jul →
overpass	11–13	-0.04	16%	29 Jun →
inferno	13–5	0.01	24%	29 Jun →
dust2	13–3	0.03	37%	29 Jun →
ancient	8–13	-0.05	15%	29 Jun →
inferno	16–14	0.02	29%	29 Jun →
dust2	11–13	-0.05	27%	29 Jun →
overpass	13–7	-0.00	16%	27 Jun →
dust2	8–13	-0.03	29%	27 Jun →