Gipoman — CS2 Stats

UA76561198080992975[U:1:120727247]Steam profile ↗

898Tracked matches38%Win rate2022Tracked since

1,465Hours in CS35Hrs last 2 wks

CSDB Rating5.0 DevelopingAggressive Rifler

Premier CS Rating14,870Blue band · top ~29.1% of ranked players (population est.)

CSDB Leaderboard#16945 of 26517 tracked

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	41.5%	41.7%	44.1%	2.6% short
Shot accuracy	11.0%	8.8%	11.4%	0.5% short
Kill/death ratio	1.00	0.97	1.03	0.03 short
Match win rate	44.6%	43.8%	45.2%	meets

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

Widest gap: Headshot rate. That is the metric furthest from the Purple 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

Aim71

Positioning68

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLTWTTWWWWT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1

Aggression10.0

Utility2.8

Positioning6.8

Opening Duels4.8

Clutch0.8

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 86% playstyle similarity

Most alike: positioning profile, 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

Aim7.1

Positioning6.8

Utility2.8

Mechanics5.2

Opening Duels4.8

Win Impact1.2

Composite 5.0/10 (Developing), 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 rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time565ms−39ms

first ⅓ avg 604ms → last ⅓ avg 565ms

Headshot accuracy20.6%+0.7%

first ⅓ avg 19.9% → last ⅓ avg 20.6%

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

0.18Best rating — vertigo 13–1

13–1Biggest win — mirage

6Longest win streak

5–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 65% over 17nukeWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	18	8–10	44%	-0.01
mirage	S	17	11–6	65%	0.03
nuke	D	15	5–10	33%	-0.01
cache	A	12	7–5	58%	0.03
ancient	D	12	4–8	33%	0.01
inferno	B	12	6–6	50%	0.01
vertigo	C	5	2–3	40%	0.03
train	—	4	3–1	75%	0.01
anubis	—	3	1–2	33%	0.03
overpass	—	1	0–1	0%	-0.02
boulder	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,331Lifetime kills

1.00K/D · Top 50% of Blue band

2,482Matches

44.6%Match win rate · Top 50% of Blue band

41.5%Headshot %

11.0%Shot accuracy · Top 50% of Blue band

5,407MVPs

825Hours (in match)

2,598Bombs planted

475Bombs defused

Most-used weapons

AK-478,452

M4A4 / M4A1-S8,147

AWP3,480

P2000 / USP-S2,216

SG 5532,043

UMP-451,798

Glock-181,746

Desert Eagle1,514

AUG1,502

Galil AR1,362

Lifetime map wins

3,947dust2

2,148inferno

2,088nuke

422train

395office

218vertigo

179cbble

166dust

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

Faceit stats

Combat

28Matches

54%Win rate

0.97Avg K/D

73.5ADR

47%Headshot %

Clutches & streaks

24%1v1 clutch win

20%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	43%	0.97	15.1
Mirage	6	67%	0.84	13.5
Ancient	4	75%	1.05	18.3
Anubis	4	50%	0.99	15.5
Inferno	3	33%	1.04	13.3
Nuke	2	50%	0.84	12.5
Cache	2	50%	1.20	16.5

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.

20.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

38.9%Spray accuracy

73.5%Counter-strafing

10.2°Preaim

542msReaction time

43.3%T opening success

54.7%CT opening success

0.24Enemies flashed / flash

5.6%Flash assists

10.68HE damage / grenade

2.18Flashes / 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 0.2356 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 15 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	2–13	-0.02	25%	28 Aug →
nuke	12–12	0.12	22%	28 Aug →
dust2	13–4	-0.03	24%	28 Aug →
dust2	12–12	-0.06	21%	27 Aug →
cache	12–12	0.06	17%	27 Aug →
mirage	5–1	0.12	27%	27 Aug →
mirage	13–1	0.11	8%	27 Aug →
dust2	13–8	0.07	22%	26 Aug →
mirage	13–5	0.13	26%	26 Aug →
cache	12–12	0.08	25%	26 Aug →
mirage	13–3	0.18	33%	26 Aug →
ancient	5–13	0.01	7%	24 Aug →
vertigo	13–1	0.18	29%	24 Aug →
dust2	5–13	-0.04	20%	24 Aug →
nuke	13–1	-0.00	8%	24 Aug →
inferno	8–13	0.04	16%	23 Aug →
nuke	4–6	-0.02	17%	23 Aug →
ancient	6–13	-0.02	21%	23 Aug →
ancient	10–13	0.10	16%	23 Aug →
dust2	13–3	0.04	43%	23 Aug →
inferno	8–13	0.04	29%	22 Aug →
nuke	4–13	-0.01	23%	22 Aug →
inferno	10–13	-0.01	27%	21 Aug →
mirage	0–11	-0.09	0%	20 Aug →
anubis	7–13	-0.02	15%	19 Aug →
dust2	10–2	-0.02	29%	19 Aug →
mirage	0–4	-0.19	21%	19 Aug →
nuke	9–13	-0.01	14%	19 Aug →
mirage	4–5	0.05	26%	19 Aug →
cache	8–13	0.02	19%	19 Aug →
inferno	4–13	-0.08	11%	18 Aug →
dust2	13–6	0.02	30%	18 Aug →
cache	13–5	0.03	12%	18 Aug →
ancient	7–13	0.04	23%	18 Aug →
dust2	6–13	-0.02	9%	17 Aug →
mirage	13–6	0.06	11%	17 Aug →
train	13–5	0.00	21%	16 Aug →
vertigo	2–13	-0.11	28%	16 Aug →
anubis	12–12	0.02	18%	16 Aug →
inferno	13–9	-0.03	38%	16 Aug →
cache	13–10	0.09	19%	16 Aug →
nuke	6–2	0.06	17%	16 Aug →
ancient	13–10	0.04	16%	15 Aug →
ancient	8–13	-0.02	12%	15 Aug →
ancient	13–6	0.06	16%	15 Aug →
mirage	13–9	0.06	22%	15 Aug →
nuke	13–10	-0.01	18%	14 Aug →
inferno	13–5	0.05	31%	13 Aug →
cache	13–3	-0.01	18%	13 Aug →
nuke	10–13	0.03	20%	13 Aug →
mirage	3–13	0.00	20%	13 Aug →
dust2	11–13	-0.03	14%	13 Aug →
inferno	12–12	0.01	21%	12 Aug →
train	10–13	0.00	16%	12 Aug →
train	13–3	0.03	25%	12 Aug →
mirage	13–9	0.01	33%	9 Aug →
nuke	13–5	0.07	17%	9 Aug →
dust2	13–11	-0.02	13%	3 Aug →
vertigo	12–0	0.02	0%	3 Aug →
ancient	4–13	-0.04	40%	3 Aug →
cache	6–13	0.06	41%	2 Aug →
mirage	6–13	-0.06	7%	2 Aug →
vertigo	12–12	0.00	17%	2 Aug →
cache	3–13	-0.00	30%	31 Jul →
nuke	16–14	-0.04	29%	30 Jul →
inferno	13–11	-0.05	17%	30 Jul →
dust2	16–12	0.02	24%	30 Jul →
vertigo	9–13	0.05	15%	29 Jul →
nuke	5–13	-0.06	19%	28 Jul →
inferno	11–13	-0.03	18%	26 Jul →
inferno	13–11	0.03	24%	25 Jul →
mirage	9–13	-0.09	23%	25 Jul →
cache	13–9	-0.00	24%	23 Jul →
anubis	13–6	0.08	22%	22 Jul →
dust2	12–12	0.02	14%	22 Jul →
nuke	2–13	-0.11	25%	21 Jul →
overpass	6–13	-0.02	16%	21 Jul →
train	13–8	0.00	16%	21 Jul →
ancient	13–9	0.02	17%	21 Jul →
mirage	13–8	0.07	36%	21 Jul →
cache	13–5	0.02	17%	20 Jul →
mirage	13–8	0.05	14%	20 Jul →
ancient	13–11	-0.06	25%	20 Jul →
dust2	2–13	-0.05	6%	20 Jul →
dust2	6–13	-0.12	6%	20 Jul →
dust2	13–9	-0.02	14%	19 Jul →
cache	13–1	0.02	22%	19 Jul →
mirage	13–9	0.01	47%	19 Jul →
ancient	12–12	-0.00	16%	19 Jul →
dust2	6–13	0.05	29%	19 Jul →
cache	13–4	-0.02	14%	19 Jul →
dust2	7–13	-0.09	9%	19 Jul →
nuke	2–13	-0.09	14%	19 Jul →
inferno	13–7	-0.01	6%	19 Jul →
inferno	13–6	0.13	20%	18 Jul →
mirage	13–10	0.03	13%	18 Jul →
boulder	1–8	-0.02	38%	18 Jul →
nuke	6–13	0.02	35%	18 Jul →
ancient	6–13	-0.06	25%	18 Jul →
dust2	6–13	0.01	16%	18 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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