Zeso <3 🦆🦈 — CS2 Stats

US76561199050615866[U:1:1090350138]Steam profile ↗✓ No bans

2,999Tracked matches53%Win rate2020Tracked since

4,201Hours in CS54Hrs last 2 wks

CSDB Rating4.3 DevelopingPositional Player

Premier CS Rating15,359Purple band · top ~27% of ranked players (population est.)

CSDB Leaderboard#143941 of 259990 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−247Premier CS Rating · 15,606 → 15,359

Rating over time

Premier CS Rating: 15,359 +6,298 11 Sept – 5 Nov · 20 days played

Faceit ELO: 973 +0 11 Sept – 26 Sept · 4 observations

16,865Peak Premier in tracked matches

973Highest Faceit ELO seen on CSDB

17Days played since 2026-09-11

Faceit ELO

At peak — 973
Next: Level 5 at 1,051 — 78 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-09-11
Level 3 first seen 2026-09-11

Premier CS Rating

726 below peak (16,085)
+359 over 30 days · steady
Next: Pink band at 20,000 — 4,641 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-20
Light Blue band first seen 2026-09-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	43.5%	44.4%	46.9%	3.5% short
Shot accuracy	10.2%	11.9%	13.0%	2.8% short
Kill/death ratio	0.69	1.03	1.08	0.39 short
Match win rate	40.8%	45.2%	46.7%	5.9% short

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

Widest gap: Kill/death ratio. 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

Aim55

Positioning52

Utility4

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +95ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 15%
Avg reaction 652ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 660ms

Last 20

9–11 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 612ms

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 (+3.2 against its own average).

Aim5.5

Utility0.4

Positioning5.2

Opening Duels2.4

Clutch0.0

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.

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 80% 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.

CT openings. Opening success drops from 57% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.5

Positioning5.2

Utility0.4

Mechanics3.6

Opening Duels4.1

Win Impact6.1

Composite 4.3/10 (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+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time593ms+5ms

first ⅓ avg 587ms → last ⅓ avg 593ms

Headshot accuracy15.4%−1.6%

first ⅓ avg 17.0% → last ⅓ avg 15.4%

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.

Personal bests

0.17Best match rating · 13–5 · nuke, 30 Oct →

63%Best headshot accuracy · 4–10 · nuke, 23 Oct →

352msFastest reaction time · 4–10 · nuke, 23 Oct →

13–1Biggest win · nuke, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 71% over 21dust2Weakest map · 18% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	21	15–6	71%	0.02
dust2	D	17	3–14	18%	-0.04
inferno	A	16	10–6	63%	-0.00
cache	A	14	9–5	64%	0.01
anubis	S	10	7–3	70%	-0.00
ancient	D	9	3–6	33%	-0.03
mirage	D	8	2–6	25%	-0.02
train	—	2	1–1	50%	0.00
vertigo	—	1	0–1	0%	-0.04
poseidon	—	1	1–0	100%	0.15
shelter	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,681Lifetime kills

0.69K/D

6,050Matches

40.8%Match win rate

43.5%Headshot %

10.2%Shot accuracy

9,571MVPs

2,134Hours (in match)

2,908Bombs planted

844Bombs defused

Most-used weapons

AK-4721,521

M4A4 / M4A1-S11,502

Desert Eagle8,023

AWP7,207

P2000 / USP-S4,053

Glock-183,511

MP72,901

PP-Bizon2,158

MAC-101,427

SG 5531,401

Lifetime map wins

9,331inferno

8,189nuke

4,679vertigo

3,234dust2

2,210train

1,007office

717lake

334cbble

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

Faceit stats

Combat

83Matches

46%Win rate

0.71Avg K/D

69.1ADR

47%Headshot %

Clutches & streaks

19%1v1 clutch win

11%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	62%	0.69	11.6
Nuke	12	83%	0.90	15.8
Inferno	12	33%	0.93	11.5
Ancient	12	33%	0.61	12.9
Dust2	7	57%	0.58	10.0
Overpass	5	0%	0.62	10.8
Vertigo	5	40%	0.65	9.8
Anubis	3	33%	0.75	14.0

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.

15.2%Headshot accuracy

34.6%Accuracy (enemy spotted)

37.2%Spray accuracy

66.3%Counter-strafing

9.7°Preaim

597msReaction time

56.9%T opening success

36.3%CT opening success

0.06Enemies flashed / flash

0.0%Flash assists

1.98HE damage / grenade

0.36Flashes / 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 0.0639 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.3158% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–12	0.00	14%	5 Nov →
dust2	6–13	-0.02	18%	5 Nov →
dust2	10–13	-0.13	19%	5 Nov →
anubis	13–11	-0.06	7%	3 Nov →
dust2	8–13	-0.04	20%	3 Nov →
cache	13–3	0.03	8%	3 Nov →
anubis	13–7	0.10	14%	3 Nov →
ancient	6–13	-0.05	28%	3 Nov →
nuke	13–4	0.01	14%	3 Nov →
mirage	13–11	-0.03	16%	3 Nov →
anubis	9–13	0.02	15%	3 Nov →
inferno	9–6	0.00	19%	2 Nov →
mirage	12–16	-0.03	16%	1 Nov →
dust2	4–13	-0.09	45%	1 Nov →
dust2	8–13	-0.08	13%	31 Oct →
nuke	13–11	0.06	10%	31 Oct →
cache	13–9	0.03	15%	31 Oct →
inferno	14–16	-0.04	14%	31 Oct →
ancient	9–13	-0.08	15%	31 Oct →
ancient	6–13	-0.05	7%	31 Oct →
nuke	13–6	-0.05	9%	31 Oct →
anubis	13–6	-0.02	13%	31 Oct →
dust2	13–8	-0.08	25%	31 Oct →
cache	9–13	0.08	14%	30 Oct →
mirage	14–16	0.01	10%	30 Oct →
nuke	13–5	0.09	19%	30 Oct →
cache	13–3	0.01	10%	30 Oct →
nuke	10–13	0.06	11%	30 Oct →
nuke	13–5	0.17	13%	30 Oct →
nuke	13–4	0.03	7%	30 Oct →
cache	13–10	-0.04	23%	30 Oct →
dust2	13–9	0.08	15%	30 Oct →
ancient	13–3	0.05	10%	30 Oct →
anubis	7–13	-0.09	12%	30 Oct →
nuke	13–2	0.01	10%	30 Oct →
anubis	13–11	-0.02	13%	30 Oct →
nuke	13–9	-0.05	14%	30 Oct →
anubis	13–11	0.02	19%	30 Oct →
inferno	13–10	-0.05	24%	30 Oct →
inferno	16–13	-0.03	9%	29 Oct →
inferno	14–16	-0.03	10%	29 Oct →
dust2	6–13	-0.00	17%	29 Oct →
nuke	13–5	-0.01	18%	29 Oct →
inferno	13–2	-0.02	22%	29 Oct →
nuke	2–13	-0.04	20%	29 Oct →
ancient	13–10	-0.03	15%	29 Oct →
dust2	11–13	-0.05	26%	29 Oct →
nuke	9–13	-0.00	14%	27 Oct →
nuke	9–0	-0.00	19%	27 Oct →
cache	13–11	0.01	20%	26 Oct →
nuke	13–5	0.03	16%	26 Oct →
ancient	13–11	0.10	25%	26 Oct →
cache	2–13	-0.08	5%	25 Oct →
ancient	11–13	-0.07	14%	25 Oct →
nuke	13–5	-0.04	14%	25 Oct →
nuke	2–13	-0.04	10%	25 Oct →
nuke	11–13	-0.05	8%	25 Oct →
train	8–13	-0.03	9%	25 Oct →
nuke	10–8	0.03	10%	25 Oct →
dust2	5–13	-0.05	20%	25 Oct →
mirage	10–13	-0.02	14%	24 Oct →
ancient	7–13	-0.04	16%	24 Oct →
inferno	13–5	0.07	23%	24 Oct →
dust2	12–16	-0.00	23%	24 Oct →
anubis	5–13	-0.06	6%	24 Oct →
cache	13–6	0.09	19%	23 Oct →
anubis	13–2	0.09	10%	23 Oct →
nuke	13–1	0.13	20%	23 Oct →
inferno	9–3	0.12	23%	23 Oct →
train	13–9	0.03	8%	23 Oct →
nuke	4–10	0.00	63%	23 Oct →
vertigo	12–12	-0.04	18%	23 Oct →
poseidon	9–6	0.15	20%	23 Oct →
shelter	12–12	-0.00	14%	23 Oct →
inferno	13–8	0.00	14%	21 Oct →
cache	13–5	-0.01	17%	21 Oct →
mirage	0–13	-0.06	20%	21 Oct →
mirage	13–4	0.08	19%	21 Oct →
dust2	13–16	0.03	11%	21 Oct →
cache	7–13	0.06	16%	21 Oct →
mirage	15–15	-0.04	14%	21 Oct →
anubis	13–10	-0.02	13%	21 Oct →
inferno	9–13	0.01	22%	21 Oct →
dust2	1–13	-0.09	19%	21 Oct →
inferno	9–6	0.15	12%	20 Oct →
dust2	7–13	-0.08	16%	20 Oct →
cache	9–13	0.04	21%	20 Oct →
cache	13–11	-0.00	19%	20 Oct →
mirage	11–13	-0.04	10%	19 Oct →
dust2	13–6	-0.02	24%	19 Oct →
dust2	1–13	-0.05	9%	19 Oct →
cache	2–13	-0.11	26%	19 Oct →
inferno	9–13	-0.08	18%	6 Oct →
nuke	13–7	-0.04	13%	6 Oct →
dust2	11–13	0.02	15%	6 Oct →
inferno	11–13	-0.04	14%	6 Oct →
inferno	13–11	-0.08	9%	6 Oct →
cache	13–9	-0.03	6%	6 Oct →
inferno	6–13	-0.02	9%	6 Oct →
ancient	7–13	-0.06	10%	4 Oct →