Jerry — CS2 Stats

EE76561198929416490[U:1:969150762]Steam profile ↗

5,254Tracked matches43%Win rate2020Tracked since

7,766Hours in CS24Hrs last 2 wks

CSDB Rating3.0 Learning

Premier CS Rating1,408Grey band · top ~94% of ranked players (population est.)

CSDB Leaderboard#27171 of 34585 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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	Light Blue band median	vs Light Blue band
Headshot rate	26.3%	40.1%	13.8% short
Shot accuracy	9.3%	7.6%	above
Kill/death ratio	0.90	0.92	meets
Match win rate	39.2%	42.2%	3.0% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Aim33

Positioning36

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY38–59–3Last 10038%Win rateLWLWWLWLLL

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

Player DNA

Aim3.3

Aggression3.5

Utility2.5

Positioning3.6

Opening Duels0.0

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 69% playstyle similarity

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

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

Reaction time. 798ms 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

Aim3.3

Positioning3.6

Utility2.5

Mechanics6.1

Opening Duels0.3

Win Impact2.8

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.03

first ⅓ avg -0.05 → last ⅓ avg -0.02

Reaction time794ms+2ms

first ⅓ avg 792ms → last ⅓ avg 794ms

Headshot accuracy10.3%−1.1%

first ⅓ avg 11.4% → last ⅓ avg 10.3%

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

0.19Best rating — dust2 13–8

13–2Biggest win — anubis

4Longest win streak

5–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 67% over 6anubisWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	15–18	45%	-0.00
mirage	C	22	8–14	36%	-0.02
nuke	D	19	6–13	32%	-0.05
anubis	D	10	1–9	10%	-0.03
cache	C	7	3–4	43%	-0.04
inferno	S	6	4–2	67%	0.00
ancient	—	3	1–2	33%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,543Lifetime kills

0.90K/D

11,281Matches

39.2%Match win rate

26.3%Headshot %

9.3%Shot accuracy

26,082MVPs

3,364Hours (in match)

10,236Bombs planted

2,490Bombs defused

Most-used weapons

AWP44,164

AK-4721,318

M4A4 / M4A1-S14,451

Negev14,182

P9010,324

P2000 / USP-S6,822

Tec-94,309

Desert Eagle4,174

XM10143,909

MP73,651

Lifetime map wins

33,133dust2

11,545nuke

4,674vertigo

4,397inferno

914office

864train

349cbble

307lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.7%Headshot accuracy

35.9%Accuracy (enemy spotted)

42.2%Spray accuracy

77.3%Counter-strafing

13.4°Preaim

798msReaction time

32.6%T opening success

25.2%CT opening success

0.38Enemies flashed / flash

7.8%Flash assists

8.18HE damage / grenade

1.63Flashes / 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 13.4421° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.7047% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 798.0718ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Anubis

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.06	24%	29 Aug →
nuke	13–10	-0.03	12%	29 Aug →
nuke	10–13	-0.01	13%	29 Aug →
mirage	13–10	-0.02	9%	29 Aug →
dust2	13–5	-0.03	8%	29 Aug →
mirage	4–10	-0.04	11%	29 Aug →
inferno	13–11	0.03	15%	29 Aug →
mirage	9–13	-0.06	14%	28 Aug →
anubis	7–13	-0.00	8%	28 Aug →
cache	2–13	-0.04	4%	27 Aug →
dust2	2–13	-0.03	17%	27 Aug →
nuke	9–13	-0.03	6%	27 Aug →
mirage	9–13	-0.00	10%	27 Aug →
mirage	11–13	0.01	12%	26 Aug →
mirage	13–4	-0.04	4%	26 Aug →
inferno	13–8	-0.01	8%	25 Aug →
anubis	5–13	-0.07	14%	25 Aug →
mirage	6–13	-0.03	14%	25 Aug →
cache	7–13	0.02	10%	25 Aug →
dust2	13–9	0.02	11%	24 Aug →
mirage	13–6	0.07	11%	24 Aug →
mirage	12–16	-0.07	17%	16 Aug →
dust2	13–8	-0.02	6%	16 Aug →
mirage	1–13	-0.12	14%	7 Aug →
inferno	13–9	-0.02	12%	7 Aug →
dust2	13–5	-0.02	7%	7 Aug →
anubis	4–13	-0.02	3%	6 Aug →
anubis	2–13	-0.06	13%	6 Aug →
dust2	13–11	-0.02	8%	6 Aug →
dust2	13–6	0.10	9%	6 Aug →
dust2	10–13	-0.00	13%	6 Aug →
dust2	13–8	0.03	9%	5 Aug →
dust2	3–13	-0.12	0%	5 Aug →
mirage	13–7	-0.05	13%	4 Aug →
dust2	5–13	-0.05	10%	4 Aug →
dust2	6–13	-0.03	9%	4 Aug →
dust2	7–13	-0.05	15%	4 Aug →
mirage	13–7	-0.01	6%	2 Aug →
mirage	13–3	-0.01	24%	2 Aug →
nuke	13–11	0.06	8%	26 Jul →
mirage	13–8	0.12	13%	26 Jul →
anubis	11–13	-0.02	6%	26 Jul →
inferno	10–13	0.02	11%	26 Jul →
dust2	13–6	0.10	8%	26 Jul →
mirage	7–13	0.02	16%	26 Jul →
mirage	14–16	-0.02	8%	26 Jul →
dust2	13–8	0.10	10%	25 Jul →
cache	13–5	0.04	22%	25 Jul →
dust2	4–13	-0.04	14%	25 Jul →
nuke	13–8	0.06	7%	25 Jul →
dust2	13–8	0.19	14%	25 Jul →
mirage	3–13	-0.01	0%	25 Jul →
dust2	10–13	0.11	12%	25 Jul →
anubis	13–2	0.14	16%	25 Jul →
nuke	13–2	0.09	10%	25 Jul →
mirage	13–10	0.03	12%	25 Jul →
nuke	2–13	-0.10	13%	25 Jul →
nuke	1–13	-0.07	14%	25 Jul →
anubis	2–13	-0.09	0%	25 Jul →
dust2	10–13	-0.02	17%	25 Jul →
mirage	3–13	-0.06	11%	18 Jul →
dust2	10–13	-0.06	13%	18 Jul →
mirage	2–13	-0.02	16%	17 Jul →
inferno	3–13	0.01	21%	17 Jul →
ancient	1–13	-0.04	6%	17 Jul →
anubis	8–13	-0.03	12%	10 Jul →
cache	13–8	-0.08	15%	10 Jul →
cache	13–9	-0.09	9%	10 Jul →
cache	3–13	-0.05	12%	10 Jul →
dust2	13–5	-0.08	17%	8 Jul →
dust2	13–6	0.09	10%	8 Jul →
dust2	12–12	0.03	6%	8 Jul →
cache	6–13	-0.10	0%	7 Jul →
nuke	2–9	-0.11	14%	7 Jul →
mirage	3–8	-0.05	0%	6 Jul →
mirage	1–13	-0.06	29%	5 Jul →
dust2	5–13	-0.04	16%	5 Jul →
dust2	11–13	0.06	17%	5 Jul →
dust2	3–13	-0.08	14%	5 Jul →
dust2	13–8	0.02	3%	5 Jul →
anubis	11–13	-0.05	39%	3 Jul →
dust2	4–13	-0.05	7%	3 Jul →
dust2	13–8	-0.08	30%	3 Jul →
dust2	10–13	-0.09	32%	3 Jul →
nuke	6–13	-0.02	7%	3 Jul →
nuke	5–9	-0.08	13%	3 Jul →
anubis	9–13	-0.09	0%	2 Jul →
ancient	4–13	-0.06	11%	30 Jun →
nuke	7–9	-0.16	14%	30 Jun →
nuke	4–9	-0.07	0%	30 Jun →
ancient	13–11	-0.08	2%	30 Jun →
nuke	8–8	-0.00	7%	30 Jun →
nuke	9–4	-0.06	7%	30 Jun →
nuke	2–9	-0.13	9%	30 Jun →
dust2	8–13	-0.05	15%	30 Jun →
dust2	8–10	0.01	16%	29 Jun →
inferno	13–10	-0.02	3%	29 Jun →
dust2	13–4	0.05	8%	29 Jun →
nuke	9–7	-0.14	0%	28 Jun →
nuke	8–8	-0.04	10%	28 Jun →