Jippopotamus — CS2 Stats

76561198316713276[U:1:356447548]✓ No bans

427Tracked matches38%Win rate2021Tracked since

658Hours in CS7Hrs last 2 wks

CSDB Rating4.4 DevelopingPositional Player

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	42	—	—
Win rate	38%	—	—
K/D	0.97	—	—
Headshot %	45%	—	—

Measured 6 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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	Level 5 median	Level 6 median	vs Level 6
Headshot rate	42.2%	43.7%	44.8%	2.6% short
Shot accuracy	11.9%	12.0%	12.4%	0.5% short
Kill/death ratio	1.13	1.02	1.03	above
Match win rate	44.4%	44.7%	45.2%	meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning54

Utility37

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateLLLLWLLWTL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +2.2pp headshot accuracy · +26ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 625ms

Last 10

2–7–1 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 606ms

Last 20

8–11–1 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 20%
Avg reaction 593ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim4.9

Utility3.7

Positioning5.4

Opening Duels3.9

Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim4.9

Positioning5.4

Utility3.7

Mechanics6.1

Opening Duels2.6

Win Impact1.0

Composite 4.4/10 (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-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time583ms−14ms

first ⅓ avg 597ms → last ⅓ avg 583ms

Headshot accuracy19.8%+2.6%

first ⅓ avg 17.2% → last ⅓ avg 19.8%

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.

Personal bests

0.26Best match rating · 13–4 · inferno, 26 Apr →

56%Best headshot accuracy · 3–4 · inferno, 16 Feb →

422msFastest reaction time · 5–13 · office, 14 Mar →

13–2Biggest win · overpass, 3 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L4Current streak

1–9In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 71% over 7nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	B	17	8–9	47%	0.04
mirage	C	16	6–10	38%	-0.00
inferno	A	14	8–6	57%	0.04
dust2	A	11	6–5	55%	0.01
anubis	D	9	3–6	33%	-0.01
ancient	A	9	5–4	56%	0.01
nuke	D	7	2–5	29%	0.00
vertigo	S	7	5–2	71%	0.01
overpass	—	4	2–2	50%	0.02
train	—	3	1–2	33%	-0.01
stronghold	—	1	1–0	100%	0.00
jura	—	1	0–1	0%	-0.03
thera	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,876Lifetime kills

1.13K/D · Top 50% of Level 5 players

1,111Matches

44.4%Match win rate

42.2%Headshot %

11.9%Shot accuracy

2,344MVPs

361Hours (in match)

605Bombs planted

213Bombs defused

Most-used weapons

AK-475,586

AWP4,161

M4A4 / M4A1-S2,775

Desert Eagle2,070

P2000 / USP-S1,061

Glock-18892

SSG 08439

Galil AR403

MAC-10392

XM1014351

Lifetime map wins

970dust2

914vertigo

862nuke

823inferno

619office

323train

49cbble

27lake

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

Faceit stats

Combat

130Matches

49%Win rate

1.23Avg K/D

85.9ADR

43%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	34	53%	1.36	17.4
Anubis	20	45%	1.11	15.9
Inferno	16	50%	1.38	19.9
Vertigo	16	56%	0.99	16.4
Nuke	14	57%	0.98	14.7
Ancient	14	64%	1.62	17.9
Dust2	7	29%	1.05	16.3
Overpass	3	0%	1.17	19.3

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.

21.2%Headshot accuracy

27.1%Accuracy (enemy spotted)

28.6%Spray accuracy

77.5%Counter-strafing

11.5°Preaim

579msReaction time

32.9%T opening success

47.9%CT opening success

0.42Enemies flashed / flash

1.6%Flash assists

5.92HE damage / grenade

9.45Flashes / 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 0.4185 — below the 0.5 mark we flag
Grenade Lineups →
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 32.8655% — below the 40% mark we flag

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.

29% win rate across 7 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
anubis	11–13	-0.01	12%	24 Sept →
mirage	8–13	-0.01	18%	16 Sept →
mirage	1–13	-0.05	25%	14 Sept →
anubis	8–13	-0.05	15%	2 Sept →
nuke	13–6	0.09	29%	5 May →
dust2	2–13	0.02	10%	5 May →
nuke	2–13	0.02	17%	5 May →
office	13–8	0.08	44%	9 Apr →
mirage	12–12	0.04	29%	9 Apr →
anubis	8–13	-0.04	13%	9 Apr →
dust2	11–13	0.04	25%	9 Apr →
mirage	4–13	-0.08	20%	23 Mar →
anubis	13–5	-0.05	9%	23 Mar →
office	13–9	0.04	30%	23 Mar →
ancient	13–8	-0.04	21%	23 Mar →
dust2	13–4	0.03	3%	23 Mar →
inferno	5–13	-0.04	16%	15 Mar →
ancient	10–13	0.03	20%	15 Mar →
mirage	13–7	0.02	16%	15 Mar →
vertigo	13–6	0.06	29%	15 Mar →
ancient	13–3	0.01	12%	14 Mar →
office	5–13	-0.02	36%	14 Mar →
stronghold	13–7	0.00	35%	14 Mar →
dust2	4–13	-0.08	19%	14 Mar →
train	2–13	-0.10	13%	24 May →
jura	11–13	-0.03	27%	24 May →
dust2	13–5	0.04	19%	24 May →
ancient	7–13	-0.01	26%	24 May →
mirage	6–7	-0.07	9%	7 May →
mirage	11–13	-0.02	23%	3 May →
ancient	13–5	0.02	9%	3 May →
overpass	13–2	0.05	10%	3 May →
dust2	13–9	0.01	15%	3 May →
mirage	13–4	0.01	11%	20 Apr →
vertigo	12–3	0.06	0%	20 Apr →
anubis	13–7	-0.02	13%	1 Apr →
inferno	13–4	0.03	26%	1 Apr →
dust2	4–6	-0.06	45%	21 Mar →
vertigo	13–9	-0.03	18%	21 Mar →
dust2	10–13	-0.02	21%	17 Mar →
inferno	13–5	0.13	29%	17 Mar →
mirage	9–13	-0.01	17%	17 Mar →
dust2	13–7	0.07	12%	21 Feb →
vertigo	10–13	0.00	25%	21 Feb →
ancient	12–12	-0.03	9%	21 Feb →
mirage	13–7	0.03	26%	21 Feb →
anubis	12–12	-0.01	16%	17 Feb →
overpass	13–5	0.03	25%	17 Feb →
mirage	13–2	0.07	16%	16 Feb →
nuke	9–13	0.01	18%	16 Feb →
train	11–13	0.07	29%	16 Feb →
dust2	13–8	0.05	13%	16 Feb →
inferno	3–4	-0.02	56%	16 Feb →
ancient	13–4	0.02	15%	16 Feb →
inferno	12–12	-0.01	10%	16 Feb →
office	7–13	-0.05	22%	9 Feb →
mirage	12–6	0.12	12%	4 Feb →
train	13–7	0.01	25%	6 Dec →
inferno	1–13	-0.05	0%	7 Sept →
anubis	7–13	0.05	24%	7 Sept →
inferno	13–2	-0.00	24%	6 Sept →
nuke	1–6	-0.05	33%	24 Aug →
nuke	13–4	0.06	24%	24 Aug →
nuke	2–13	-0.05	39%	19 Aug →
thera	13–6	0.03	9%	19 Aug →
vertigo	13–11	-0.02	23%	19 Aug →
dust2	13–8	0.06	26%	19 Aug →
office	13–8	0.00	28%	19 Aug →
inferno	9–13	0.02	32%	19 Aug →
vertigo	4–13	-0.05	12%	17 Aug →
mirage	1–8	-0.01	11%	29 Jul →
vertigo	13–10	0.03	12%	29 Jul →
office	4–8	-0.08	14%	28 Jul →
office	13–9	0.21	17%	28 Jul →
mirage	13–7	0.02	14%	28 Jul →
nuke	6–13	-0.08	14%	28 Jul →
ancient	12–12	0.05	2%	24 Jul →
overpass	9–7	0.03	11%	22 Jul →
anubis	13–7	-0.01	8%	22 Jul →
office	0–9	-0.04	11%	21 Jul →
mirage	13–6	-0.06	10%	20 Jul →
inferno	9–2	0.03	8%	20 Jul →
overpass	6–13	-0.02	13%	20 Jul →
ancient	13–2	0.07	13%	20 Jul →
anubis	3–6	0.02	22%	4 May →
office	11–8	0.09	16%	2 May →
mirage	2–11	-0.03	33%	2 May →
office	7–12	0.10	30%	28 Apr →
office	13–6	0.07	18%	28 Apr →
office	13–3	0.12	14%	28 Apr →
office	13–6	0.11	14%	27 Apr →
office	8–13	-0.00	12%	27 Apr →
office	13–5	0.05	19%	26 Apr →
inferno	13–5	0.09	15%	26 Apr →
inferno	13–6	0.11	12%	26 Apr →
inferno	13–4	0.26	23%	26 Apr →
office	2–9	-0.09	25%	19 Apr →
office	12–12	0.04	25%	15 Apr →
inferno	12–12	-0.09	33%	11 Apr →
inferno	13–3	0.10	26%	11 Apr →