shlongololo — CS2 Stats

76561198254164925[U:1:293899197]

369Tracked matches50%Win rate2020Tracked since

1,218Hours in CS

CSDB Rating3.0 Learning

Premier CS Rating12,312Blue band · top ~42.6% of ranked players (population est.)

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	44.4%	41.7%	44.1%	meets
Shot accuracy	19.2%	8.8%	11.4%	above
Kill/death ratio	0.92	0.97	1.03	0.12 short
Match win rate	41.9%	43.8%	45.2%	3.3% short

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

Widest gap: Kill/death ratio. 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

Aim23

Positioning28

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWWLLWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Aim2.3

Aggression1.4

Utility4.0

Positioning2.8

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 64% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 717ms 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

Aim2.3

Positioning2.8

Utility4.0

Mechanics5.7

Opening Duels0.0

Win Impact5.0

Composite 3.0/10 (Learning), 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 rating-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time717ms−36ms

first ⅓ avg 752ms → last ⅓ avg 717ms

Headshot accuracy14.6%−1.9%

first ⅓ avg 16.5% → last ⅓ avg 14.6%

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

0.11Best rating — dust2 13–1

13–1Biggest win — dust2

4Longest win streak

W2Current streak

11–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 80% over 5anubisWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	38	22–16	58%	-0.03
dust2	C	29	11–18	38%	-0.04
overpass	D	9	3–6	33%	-0.02
anubis	D	8	1–7	13%	-0.06
ancient	S	7	5–2	71%	-0.03
inferno	S	5	4–1	80%	-0.05
nuke	—	2	0–2	0%	-0.02
train	—	1	1–0	100%	-0.01
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,360Lifetime kills

0.92K/D

2,763Matches

41.9%Match win rate

44.4%Headshot % · Top 50% of Blue band

19.2%Shot accuracy · Top 5% of Blue band

7,305MVPs

1,218Hours (in match)

1,957Bombs planted

962Bombs defused

Most-used weapons

AK-4721,595

M4A4 / M4A1-S8,739

AWP6,159

P2000 / USP-S4,292

Desert Eagle3,203

Glock-181,950

P2501,493

UMP-451,487

FAMAS1,455

Galil AR1,139

Lifetime map wins

6,109dust2

3,081inferno

907cbble

881train

648vertigo

368nuke

23dust

16italy

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.

13.8%Headshot accuracy

28.2%Accuracy (enemy spotted)

30.1%Spray accuracy

75.8%Counter-strafing

13.7°Preaim

717msReaction time

22.8%T opening success

30.4%CT opening success

0.77Enemies flashed / flash

7.3%Flash assists

9.69HE damage / grenade

2.93Flashes / 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 13.6906° — 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 13.8274% — 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 717.3111ms — 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.

13% win rate across 8 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
mirage	13–11	-0.03	18%	28 Mar →
dust2	13–1	0.11	31%	28 Mar →
anubis	0–13	-0.06	23%	28 Mar →
dust2	4–13	-0.03	23%	27 Mar →
mirage	13–11	-0.07	11%	27 Mar →
anubis	4–13	-0.05	23%	22 Mar →
overpass	13–5	0.07	30%	22 Mar →
dust2	5–13	-0.05	6%	14 Mar →
mirage	13–8	-0.08	11%	14 Mar →
ancient	13–11	0.02	12%	14 Mar →
dust2	7–13	-0.11	13%	14 Mar →
overpass	13–16	-0.01	11%	13 Mar →
dust2	5–13	-0.06	16%	13 Mar →
mirage	6–13	-0.04	17%	13 Mar →
overpass	11–13	-0.06	9%	13 Mar →
inferno	4–13	-0.12	22%	13 Mar →
mirage	16–12	-0.03	16%	4 Mar →
mirage	13–7	-0.03	5%	20 Feb →
dust2	13–9	-0.05	3%	20 Feb →
ancient	1–13	-0.09	13%	20 Feb →
ancient	3–13	-0.04	0%	18 Feb →
inferno	13–11	-0.04	11%	18 Feb →
mirage	7–13	-0.04	13%	18 Feb →
dust2	13–9	-0.05	14%	18 Feb →
anubis	6–13	-0.11	8%	14 Feb →
nuke	10–13	-0.02	24%	14 Feb →
ancient	13–11	0.00	12%	14 Feb →
dust2	13–5	-0.05	17%	14 Feb →
inferno	13–5	0.01	4%	14 Feb →
ancient	16–13	-0.03	11%	14 Feb →
overpass	5–13	-0.10	18%	14 Feb →
anubis	13–10	-0.09	13%	14 Feb →
overpass	4–13	-0.05	23%	14 Feb →
inferno	13–9	-0.07	0%	14 Feb →
dust2	13–1	0.04	22%	14 Feb →
mirage	6–1	-0.06	50%	14 Feb →
dust2	6–13	-0.08	18%	14 Feb →
mirage	1–13	-0.07	14%	14 Feb →
inferno	16–13	-0.03	22%	11 Feb →
overpass	13–6	-0.00	16%	11 Feb →
mirage	5–13	-0.07	13%	11 Feb →
overpass	10–13	0.00	10%	11 Feb →
mirage	15–15	-0.04	14%	15 Nov →
dust2	9–13	-0.04	21%	15 Nov →
overpass	5–13	-0.08	23%	15 Nov →
mirage	13–11	0.01	19%	23 Sept →
mirage	7–13	-0.04	13%	23 Sept →
dust2	11–13	-0.01	11%	27 Apr →
mirage	13–7	-0.04	21%	9 Apr →
dust2	13–3	-0.10	20%	4 Apr →
nuke	9–13	-0.01	26%	1 Apr →
dust2	9–13	-0.01	17%	1 Apr →
mirage	6–13	-0.01	11%	1 Apr →
mirage	13–11	0.03	22%	1 Apr →
dust2	3–13	-0.06	19%	30 Mar →
dust2	6–13	-0.09	11%	30 Mar →
mirage	13–4	-0.00	24%	30 Mar →
mirage	8–13	-0.02	7%	30 Mar →
mirage	13–10	0.01	16%	30 Mar →
mirage	13–9	0.03	13%	30 Mar →
dust2	11–13	-0.04	33%	30 Mar →
dust2	2–13	-0.08	44%	29 Mar →
ancient	13–8	-0.07	11%	29 Mar →
mirage	13–8	0.01	6%	29 Mar →
mirage	13–2	0.03	15%	29 Mar →
mirage	13–11	-0.02	14%	27 Mar →
anubis	12–16	0.02	19%	27 Mar →
mirage	0–3	-0.14	0%	25 Mar →
mirage	13–6	-0.05	11%	22 Mar →
dust2	0–13	-0.12	0%	21 Mar →
mirage	7–13	-0.08	19%	21 Mar →
dust2	7–13	-0.05	21%	21 Mar →
train	13–11	-0.01	13%	21 Mar →
anubis	3–13	-0.05	13%	21 Mar →
dust2	4–13	-0.01	39%	21 Mar →
mirage	14–16	-0.03	24%	21 Mar →
overpass	13–3	0.06	21%	19 Mar →
dust2	13–10	0.06	23%	19 Mar →
mirage	7–13	-0.02	22%	15 Mar →
anubis	15–15	-0.05	19%	9 Mar →
dust2	13–3	-0.01	9%	9 Mar →
mirage	13–2	0.01	21%	8 Mar →
mirage	4–13	-0.09	12%	8 Dec →
vertigo	11–13	-0.04	11%	4 Dec →
dust2	1–13	-0.09	38%	1 Dec →
mirage	11–13	-0.06	26%	1 Dec →
mirage	9–13	-0.06	19%	30 Nov →
dust2	13–7	-0.01	20%	30 Nov →
dust2	8–13	-0.07	9%	24 Nov →
dust2	4–13	-0.06	8%	18 Nov →
ancient	13–8	0.00	4%	18 Nov →
mirage	13–11	-0.06	8%	18 Nov →
dust2	16–13	-0.01	18%	16 Nov →
anubis	5–13	-0.07	25%	16 Nov →
mirage	13–5	-0.03	8%	16 Nov →
dust2	13–11	-0.05	10%	15 Nov →
mirage	13–9	-0.06	14%	15 Nov →
mirage	16–13	-0.03	17%	15 Nov →
mirage	10–13	0.00	13%	22 Oct →
mirage	13–5	0.00	29%	20 Oct →