As1n — CS2 Stats

76561199055372519[U:1:1095106791]

1,529Tracked matches43%Win rate2023Tracked since

3,100Hours in CS29Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating15,138Purple band · top ~27.9% of ranked players (population est.)

CSDB Leaderboard#9958 of 15514 tracked

WingmanGold Nova II

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	38.4%	48.1%	9.7% short
Shot accuracy	0.8%	12.9%	12.0% short
Kill/death ratio	1.03	1.08	0.05 short
Match win rate	38.4%	46.5%	8.1% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Aim64

Positioning64

Utility26

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLLLLWLLWL

Last 10 vs previous 10: -60pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4

Aggression10.0

Utility2.6

Positioning6.4

Opening Duels5.0

Clutch4.8

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 sh1ro 85% playstyle similarity

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

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.

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

Aim6.4

Positioning6.4

Utility2.6

Mechanics5.0

Opening Duels5.0

Win Impact2.8

Composite 5.1/10 (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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time529ms−55ms

first ⅓ avg 584ms → last ⅓ avg 529ms

Headshot accuracy15.6%+1.3%

first ⅓ avg 14.3% → last ⅓ avg 15.6%

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

0.22Best rating — inferno 9–5

13–0Biggest win — ancient

5Longest win streak

L5Current streak

11–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	29	16–13	55%	0.01
inferno	D	27	9–18	33%	0.01
mirage	C	23	8–15	35%	0.01
ancient	D	8	2–6	25%	-0.01
anubis	S	6	4–2	67%	0.04
nuke	—	4	2–2	50%	0.02
cache	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,900Lifetime kills

1.03K/D

2,690Matches

38.4%Match win rate

38.4%Headshot %

0.8%Shot accuracy

5,256MVPs

806Hours (in match)

1,734Bombs planted

695Bombs defused

Most-used weapons

AK-4716,506

M4A4 / M4A1-S9,577

AWP3,382

P2000 / USP-S2,008

Galil AR1,905

Glock-181,797

MP9949

MP7751

SG 553626

P90526

Lifetime map wins

5,397dust2

2,780inferno

2,307nuke

1,526vertigo

299train

147office

19ar_shoots

18ar_baggage

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

Faceit stats

Combat

160Matches

52%Win rate

1.22Avg K/D

89.0ADR

41%Headshot %

Clutches & streaks

44%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	48	67%	1.36	17.3
Dust2	31	45%	1.09	15.9
Inferno	23	48%	1.11	16.6
Anubis	18	44%	1.43	18.8
Nuke	16	56%	1.10	15.6
Ancient	14	43%	1.05	15.4
Overpass	4	50%	1.28	17.5
Train	4	25%	1.13	21.3

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.

15.8%Headshot accuracy

31.7%Accuracy (enemy spotted)

30.3%Spray accuracy

72.3%Counter-strafing

7.7°Preaim

521msReaction time

43.7%T opening success

56.3%CT opening success

0.45Enemies flashed / flash

0.0%Flash assists

9.46HE damage / grenade

1.81Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4471 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% win rate across 8 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
nuke	11–13	0.04	16%	28 Aug →
dust2	11–13	-0.06	8%	28 Aug →
inferno	6–13	-0.05	14%	28 Aug →
dust2	5–13	-0.00	13%	28 Aug →
mirage	9–13	-0.01	11%	28 Aug →
dust2	13–9	0.02	16%	26 Aug →
mirage	9–13	0.04	19%	26 Aug →
inferno	8–13	0.05	17%	26 Aug →
anubis	16–14	0.04	18%	26 Aug →
cache	10–13	-0.01	20%	25 Aug →
inferno	13–11	-0.04	18%	24 Aug →
dust2	13–11	-0.02	13%	24 Aug →
dust2	13–11	-0.04	15%	24 Aug →
mirage	10–13	-0.01	20%	24 Aug →
mirage	13–2	0.01	16%	21 Aug →
dust2	13–1	0.07	11%	21 Aug →
mirage	13–8	0.01	15%	20 Aug →
dust2	13–9	0.04	16%	20 Aug →
inferno	13–8	0.08	26%	20 Aug →
inferno	3–13	-0.05	14%	19 Aug →
mirage	6–13	0.07	21%	19 Aug →
cache	13–6	0.04	7%	16 Aug →
dust2	10–13	-0.01	14%	13 Aug →
dust2	13–3	0.03	21%	13 Aug →
dust2	8–13	-0.05	18%	13 Aug →
ancient	6–13	-0.05	2%	13 Aug →
dust2	10–13	0.00	15%	13 Aug →
mirage	8–13	-0.01	13%	12 Aug →
dust2	13–6	0.03	29%	11 Aug →
dust2	5–13	0.10	19%	11 Aug →
nuke	13–10	0.04	19%	9 Aug →
inferno	5–13	-0.05	12%	9 Aug →
dust2	9–13	-0.00	11%	7 Aug →
mirage	13–11	0.02	7%	7 Aug →
inferno	13–7	0.03	18%	6 Aug →
inferno	13–10	-0.01	11%	6 Aug →
dust2	10–13	0.03	20%	6 Aug →
ancient	14–16	-0.04	16%	5 Aug →
inferno	12–16	0.04	13%	5 Aug →
mirage	1–13	-0.01	13%	4 Aug →
mirage	3–13	-0.04	14%	4 Aug →
inferno	13–16	-0.02	20%	2 Aug →
mirage	8–13	-0.05	12%	2 Aug →
nuke	13–6	0.07	11%	2 Aug →
mirage	5–13	-0.05	12%	2 Aug →
anubis	8–13	0.07	21%	1 Aug →
mirage	13–6	0.08	17%	1 Aug →
inferno	8–8	-0.06	33%	31 Jul →
mirage	13–11	0.01	15%	31 Jul →
dust2	13–9	0.01	19%	31 Jul →
dust2	7–13	0.03	18%	30 Jul →
inferno	9–13	0.03	22%	30 Jul →
inferno	12–16	-0.00	19%	29 Jul →
dust2	4–13	-0.04	12%	28 Jul →
inferno	6–13	-0.02	17%	28 Jul →
dust2	13–3	0.06	17%	24 Jul →
inferno	0–13	-0.02	100%	23 Jul →
mirage	16–14	0.06	20%	23 Jul →
inferno	15–15	0.00	22%	23 Jul →
ancient	13–0	0.03	8%	22 Jul →
anubis	13–0	0.05	30%	22 Jul →
inferno	4–13	0.02	19%	22 Jul →
mirage	6–13	0.04	14%	19 Jul →
mirage	13–7	0.01	25%	19 Jul →
ancient	11–13	0.05	16%	19 Jul →
mirage	8–13	0.03	17%	18 Jul →
dust2	13–11	-0.02	9%	18 Jul →
dust2	13–10	0.04	11%	17 Jul →
inferno	13–5	-0.00	20%	17 Jul →
ancient	6–13	-0.00	11%	17 Jul →
inferno	13–9	0.02	14%	16 Jul →
mirage	7–13	0.01	10%	16 Jul →
inferno	7–13	0.03	12%	16 Jul →
inferno	9–5	0.22	28%	16 Jul →
mirage	4–13	-0.04	15%	14 Jul →
ancient	2–13	-0.01	23%	14 Jul →
dust2	13–9	-0.01	13%	13 Jul →
cache	13–7	0.02	15%	13 Jul →
mirage	7–13	0.05	15%	12 Jul →
inferno	7–13	-0.02	12%	12 Jul →
dust2	13–11	0.06	14%	10 Jul →
anubis	13–4	0.11	13%	10 Jul →
dust2	4–13	0.07	18%	10 Jul →
dust2	5–13	0.01	16%	3 Jul →
inferno	8–13	0.02	18%	2 Jul →
inferno	6–13	0.00	10%	29 Jun →
dust2	13–9	-0.04	13%	28 Jun →
ancient	13–2	-0.01	5%	28 Jun →
dust2	13–11	0.02	14%	27 Jun →
nuke	3–13	-0.06	15%	26 Jun →
ancient	4–13	-0.08	10%	25 Jun →
inferno	9–6	0.15	24%	25 Jun →
inferno	9–2	0.13	17%	25 Jun →
inferno	4–9	-0.06	19%	25 Jun →
anubis	2–13	-0.09	11%	24 Jun →
mirage	10–13	0.02	6%	24 Jun →
anubis	13–11	0.07	18%	23 Jun →
dust2	5–13	0.00	15%	23 Jun →
mirage	13–1	0.08	8%	21 Jun →
dust2	13–8	0.04	14%	21 Jun →