AURORA_CrispyJimmy — CS2 Stats

76561199505382023[U:1:1545116295]

1,141Tracked matches52%Win rate2023Tracked since

996Hours in CS5Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#13066 of 20470 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	47.4%	48.1%	meets
Shot accuracy	6.1%	12.9%	6.8% short
Kill/death ratio	0.99	1.08	0.09 short
Match win rate	40.2%	46.5%	6.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim46

Positioning42

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLTLWWWWWLL

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

Player DNA

Aim4.6

Aggression5.1

Utility5.1

Positioning4.2

Opening Duels2.7

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 52% on CT to 30% 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.

Counter-strafing. Only 69% 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

Aim4.6

Positioning4.2

Utility5.1

Mechanics4.2

Opening Duels2.8

Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time625ms−30ms

first ⅓ avg 655ms → last ⅓ avg 625ms

Headshot accuracy16.4%−3.8%

first ⅓ avg 20.2% → last ⅓ avg 16.4%

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 9–2

13–1Biggest win — overpass

5Longest win streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 82% over 11infernoWeakest map · 38% over 24

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	26	16–10	62%	-0.01
inferno	C	24	9–15	38%	0.00
mirage	C	21	8–13	38%	-0.00
ancient	S	11	9–2	82%	0.01
overpass	B	6	3–3	50%	0.03
anubis	C	5	2–3	40%	0.04
dust2	C	5	2–3	40%	-0.04
cache	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,768Lifetime kills

0.99K/D

1,461Matches

40.2%Match win rate

47.4%Headshot % · Top 50% of tracked players

6.1%Shot accuracy

2,651MVPs

483Hours (in match)

800Bombs planted

298Bombs defused

Most-used weapons

AK-477,071

M4A4 / M4A1-S5,846

AWP4,300

P2000 / USP-S1,526

SSG 081,326

Glock-181,098

Desert Eagle717

Galil AR642

FAMAS591

Tec-9320

Lifetime map wins

1,983nuke

1,713dust2

1,216inferno

468vertigo

71train

36office

1ar_shoots

1lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.8%Headshot accuracy

30.7%Accuracy (enemy spotted)

33.2%Spray accuracy

69.0%Counter-strafing

9.8°Preaim

619msReaction time

29.5%T opening success

52.4%CT opening success

0.60Enemies flashed / flash

5.6%Flash assists

13.25HE 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 29.545% — 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.

38% win rate across 24 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
mirage	9–13	-0.04	17%	28 Aug →
inferno	12–12	0.04	18%	27 Aug →
ancient	9–13	-0.05	18%	26 Aug →
mirage	13–8	-0.07	8%	23 Aug →
ancient	13–9	0.03	18%	16 Aug →
mirage	13–6	0.04	16%	13 Aug →
nuke	16–14	0.03	21%	11 Aug →
nuke	13–8	-0.02	20%	11 Aug →
inferno	9–13	-0.02	11%	10 Aug →
inferno	2–13	-0.06	12%	9 Aug →
nuke	13–4	0.00	19%	9 Aug →
mirage	11–13	-0.03	14%	7 Aug →
inferno	1–9	-0.16	42%	7 Aug →
mirage	8–13	0.00	18%	6 Aug →
mirage	16–12	0.05	10%	1 Aug →
inferno	13–5	-0.02	21%	1 Aug →
inferno	6–13	-0.02	8%	29 Jul →
inferno	7–13	-0.01	26%	23 Jul →
mirage	5–13	-0.02	8%	21 Jul →
ancient	13–7	0.11	9%	21 Jul →
anubis	5–13	0.02	12%	20 Jul →
inferno	13–3	0.02	15%	20 Jul →
nuke	13–4	0.04	9%	20 Jul →
inferno	3–13	-0.11	10%	19 Jul →
cache	11–13	-0.04	20%	18 Jul →
dust2	8–13	-0.04	8%	18 Jul →
ancient	13–10	-0.05	12%	17 Jul →
nuke	13–9	-0.01	23%	17 Jul →
dust2	8–13	-0.05	28%	17 Jul →
ancient	16–13	-0.02	23%	16 Jul →
mirage	13–11	-0.04	14%	16 Jul →
anubis	12–12	0.12	12%	12 Jul →
inferno	13–9	0.06	21%	9 Jul →
nuke	6–13	0.04	24%	7 Jul →
nuke	5–13	0.02	24%	4 Jul →
nuke	13–6	-0.00	18%	3 Jul →
inferno	6–13	-0.02	15%	30 Jun →
mirage	13–8	0.02	20%	30 Jun →
inferno	11–13	-0.04	16%	28 Jun →
dust2	13–11	-0.06	29%	28 Jun →
mirage	8–13	-0.01	22%	28 Jun →
inferno	10–13	0.08	27%	28 Jun →
cache	9–13	-0.01	14%	27 Jun →
overpass	8–13	-0.02	14%	27 Jun →
inferno	13–6	0.02	20%	27 Jun →
ancient	13–6	0.01	12%	27 Jun →
inferno	7–9	-0.01	8%	25 Jun →
overpass	13–1	-0.01	9%	24 Jun →
nuke	2–13	-0.05	8%	23 Jun →
anubis	13–10	0.00	16%	23 Jun →
inferno	16–12	0.01	19%	20 Jun →
ancient	13–16	0.02	9%	20 Jun →
dust2	13–11	0.00	13%	19 Jun →
inferno	10–13	0.06	14%	19 Jun →
mirage	13–5	0.01	13%	19 Jun →
nuke	10–13	-0.06	21%	17 Jun →
inferno	13–11	0.03	14%	17 Jun →
nuke	13–10	0.03	23%	16 Jun →
mirage	10–13	0.06	11%	16 Jun →
inferno	2–9	-0.16	5%	16 Jun →
overpass	6–13	0.03	27%	14 Jun →
inferno	13–10	0.03	11%	14 Jun →
ancient	13–8	0.04	19%	14 Jun →
nuke	3–9	-0.11	24%	11 Jun →
mirage	11–13	0.03	21%	9 Jun →
nuke	13–5	0.04	20%	9 Jun →
ancient	13–9	0.03	22%	8 Jun →
inferno	8–8	0.05	34%	8 Jun →
overpass	13–7	0.09	19%	6 Jun →
nuke	13–11	-0.01	10%	5 Jun →
nuke	16–13	0.06	19%	3 Jun →
nuke	13–10	0.03	20%	2 Jun →
nuke	13–10	0.09	27%	2 Jun →
mirage	4–13	-0.04	28%	1 Jun →
nuke	8–13	0.04	40%	31 May →
mirage	6–13	0.00	16%	30 May →
inferno	16–13	0.13	19%	30 May →
inferno	9–2	0.22	14%	28 May →
mirage	8–13	0.01	14%	24 May →
mirage	7–13	-0.03	14%	17 May →
mirage	10–13	0.02	23%	8 May →
nuke	16–14	0.03	19%	8 May →
nuke	2–9	-0.16	5%	7 May →
mirage	7–13	-0.07	19%	6 May →
nuke	13–7	0.01	24%	6 May →
overpass	9–13	-0.00	20%	5 May →
inferno	7–9	-0.00	27%	2 May →
anubis	13–11	-0.01	15%	27 Apr →
anubis	11–13	0.06	19%	27 Apr →
nuke	13–10	0.00	15%	26 Apr →
nuke	13–6	0.02	35%	25 Apr →
overpass	13–6	0.09	17%	25 Apr →
nuke	9–13	-0.00	21%	24 Apr →
nuke	2–13	-0.09	14%	23 Apr →
ancient	13–8	0.01	16%	22 Apr →
nuke	2–9	-0.11	19%	16 Apr →
ancient	13–7	0.04	19%	16 Apr →
dust2	6–13	-0.06	28%	15 Apr →
mirage	13–10	0.05	23%	15 Apr →
mirage	13–11	-0.01	16%	7 Apr →