geekmax9000 — CS2 Stats

76561198797264020[U:1:836998292]

1,591Tracked matches30%Win rate2020Tracked since

1,369Hours in CS1Hrs last 2 wks

CSDB Rating4.1 Developing

Premier CS Rating16,791Purple band · top ~21.3% of ranked players (population est.)

CSDB Leaderboard#6498 of 10861 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

16,791Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 16,791
Next: Pink band at 20,000 — 3,209 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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	37.8%	48.1%	10.3% short
Shot accuracy	5.4%	12.9%	7.4% short
Kill/death ratio	0.96	1.08	0.12 short
Match win rate	44.4%	46.5%	2.1% 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

Aim44

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

COLD35–57–8Last 10035%Win rateLLLLTLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.4

Aggression7.1

Utility6.2

Positioning5.0

Opening Duels1.8

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.4

Positioning5.0

Utility6.2

Mechanics4.1

Opening Duels2.0

Win Impact0.0

Composite 4.1/10 (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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time658ms+23ms

first ⅓ avg 635ms → last ⅓ avg 658ms

Headshot accuracy15.7%−3.6%

first ⅓ avg 19.2% → last ⅓ avg 15.7%

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

0.21Best rating — nuke 13–2

13–2Biggest win — cache

3Longest win streak

L4Current streak

11–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 67% over 9nukeWeakest map · 23% over 56

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	56	13–43	23%	0.01
dust2	C	12	5–7	42%	0.02
cache	A	9	5–4	56%	0.03
inferno	S	9	6–3	67%	0.01
anubis	D	6	2–4	33%	-0.02
vertigo	—	4	1–3	25%	0.01
ancient	—	3	3–0	100%	0.00
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 56). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,849Lifetime kills

0.96K/D

2,236Matches

44.4%Match win rate

37.8%Headshot %

5.4%Shot accuracy

5,576MVPs

743Hours (in match)

3,222Bombs planted

753Bombs defused

Most-used weapons

AK-479,170

AWP4,927

M4A4 / M4A1-S4,418

Desert Eagle2,130

P2000 / USP-S1,982

MAC-101,488

Glock-181,221

MP91,044

MAG-71,025

Galil AR727

Lifetime map wins

4,341dust2

3,693nuke

2,190inferno

558train

279vertigo

71office

52cbble

30italy

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

Faceit stats

Combat

2Matches

0%Win rate

0.36Avg K/D

—ADR

17%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

16.1%Headshot accuracy

35.8%Accuracy (enemy spotted)

33.4%Spray accuracy

68.3%Counter-strafing

12.0°Preaim

654msReaction time

27.9%T opening success

46.2%CT opening success

0.56Enemies flashed / flash

9.7%Flash assists

5.85HE damage / grenade

16.19Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0278° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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

23% win rate across 56 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	0.06	26%	20 Aug →
nuke	5–13	-0.04	11%	20 Aug →
nuke	9–13	-0.15	0%	7 Aug →
nuke	11–13	0.01	13%	7 Aug →
cache	12–12	0.05	17%	7 Aug →
inferno	13–16	-0.02	26%	7 Aug →
cache	13–2	0.03	21%	7 Aug →
cache	13–3	-0.01	14%	7 Aug →
anubis	2–13	-0.07	13%	7 Aug →
nuke	9–13	0.05	12%	7 Aug →
inferno	9–6	0.09	29%	7 Aug →
nuke	2–8	-0.09	0%	6 Aug →
vertigo	4–13	0.04	22%	6 Aug →
vertigo	3–10	0.01	17%	6 Aug →
inferno	13–9	0.02	12%	6 Aug →
inferno	13–11	-0.03	14%	6 Aug →
ancient	16–13	-0.02	7%	5 Aug →
nuke	12–12	0.00	19%	5 Aug →
nuke	6–4	0.06	13%	4 Aug →
nuke	3–13	0.02	19%	4 Aug →
dust2	5–12	0.01	18%	4 Aug →
nuke	9–13	-0.07	33%	4 Aug →
anubis	12–16	-0.05	15%	4 Aug →
dust2	13–6	0.09	17%	4 Aug →
cache	4–13	0.06	30%	4 Aug →
nuke	4–13	-0.04	25%	4 Aug →
nuke	13–11	-0.05	14%	3 Aug →
nuke	1–13	-0.03	0%	3 Aug →
cache	13–3	-0.00	8%	3 Aug →
anubis	5–13	0.01	15%	3 Aug →
nuke	12–12	0.04	13%	2 Aug →
cache	12–12	0.04	6%	2 Aug →
nuke	11–13	-0.01	20%	31 Jul →
dust2	13–8	0.07	24%	31 Jul →
dust2	13–11	-0.01	17%	31 Jul →
dust2	11–13	0.04	21%	31 Jul →
inferno	13–2	0.04	16%	31 Jul →
cache	13–8	0.05	31%	31 Jul →
inferno	13–8	0.08	12%	30 Jul →
office	11–13	-0.06	9%	29 Jul →
nuke	7–7	-0.04	7%	29 Jul →
nuke	13–10	-0.01	14%	29 Jul →
nuke	12–12	0.00	20%	29 Jul →
nuke	11–13	0.00	16%	29 Jul →
inferno	13–8	-0.08	20%	29 Jul →
dust2	7–13	0.00	15%	29 Jul →
dust2	13–10	0.01	13%	29 Jul →
vertigo	10–13	-0.01	17%	29 Jul →
vertigo	13–6	0.02	18%	29 Jul →
nuke	8–13	-0.05	18%	29 Jul →
anubis	13–5	0.05	31%	28 Jul →
cache	13–8	-0.02	32%	28 Jul →
anubis	13–6	-0.01	13%	28 Jul →
nuke	5–13	-0.02	6%	28 Jul →
nuke	8–13	-0.08	0%	28 Jul →
nuke	8–13	0.09	17%	28 Jul →
nuke	1–13	0.02	18%	28 Jul →
dust2	4–13	-0.03	28%	27 Jul →
ancient	13–11	0.01	13%	27 Jul →
nuke	13–16	-0.05	17%	27 Jul →
nuke	14–16	0.03	10%	27 Jul →
anubis	11–13	-0.02	10%	27 Jul →
inferno	6–10	0.01	18%	21 Jul →
nuke	5–13	0.01	19%	21 Jul →
nuke	11–13	-0.00	24%	21 Jul →
nuke	5–13	-0.03	44%	21 Jul →
nuke	6–13	-0.04	18%	21 Jul →
nuke	13–10	-0.05	26%	20 Jul →
nuke	10–13	0.05	41%	20 Jul →
nuke	7–13	0.01	25%	20 Jul →
nuke	6–13	0.01	32%	20 Jul →
nuke	8–13	0.04	32%	20 Jul →
cache	9–13	0.06	9%	19 Jul →
inferno	4–13	-0.03	31%	19 Jul →
dust2	8–13	0.00	17%	19 Jul →
nuke	4–9	-0.04	0%	19 Jul →
nuke	9–13	0.07	15%	19 Jul →
nuke	5–13	0.01	15%	19 Jul →
nuke	2–6	-0.04	40%	19 Jul →
nuke	13–7	0.02	40%	19 Jul →
nuke	13–11	0.10	28%	19 Jul →
nuke	5–13	0.03	15%	19 Jul →
nuke	12–12	0.02	11%	18 Jul →
dust2	13–10	0.03	29%	18 Jul →
nuke	4–13	0.01	14%	18 Jul →
nuke	0–13	-0.03	24%	17 Jul →
dust2	10–13	0.03	12%	17 Jul →
nuke	13–11	0.17	14%	17 Jul →
nuke	13–11	0.03	16%	17 Jul →
nuke	8–7	0.05	16%	17 Jul →
nuke	12–12	0.04	11%	17 Jul →
nuke	13–5	0.19	6%	17 Jul →
nuke	4–13	-0.06	10%	16 Jul →
nuke	13–11	0.08	19%	16 Jul →
dust2	8–13	-0.03	13%	16 Jul →
ancient	16–14	0.02	11%	16 Jul →
nuke	13–5	0.01	18%	16 Jul →
nuke	13–2	0.21	10%	16 Jul →
nuke	12–12	0.01	21%	16 Jul →
nuke	10–13	0.00	12%	16 Jul →