johnster2276 — CS2 Stats

76561199201408471[U:1:1241142743]Steam profile ↗

173Tracked matches36%Win rate2026Tracked since

121Hours in CS2Hrs last 2 wks

CSDB Rating1.5 Learning

Ladder ranks via Leetify

Performance scores

Aim10

Positioning37

Utility7

0–100 skill scores via Leetify.

Recent form

STEADY34–55–11Last 10034%Win rateLWLWWLLWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim1.0

Aggression4.0

Utility0.7

Positioning3.7

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 62% 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. 697ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.0

Positioning3.7

Utility0.7

Mechanics2.1

Opening Duels0.1

Win Impact0.2

Composite 1.5/10 (Learning), 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-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time706ms−27ms

first ⅓ avg 733ms → last ⅓ avg 706ms

Headshot accuracy9.4%−1.6%

first ⅓ avg 11.0% → last ⅓ avg 9.4%

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.

Highlights

0.04Best rating — anubis 13–2

13–2Biggest win — anubis

3Longest win streak

6–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 50% over 12italyWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	14	5–9	36%	-0.05
anubis	B	12	6–6	50%	-0.04
vertigo	B	12	6–6	50%	-0.03
mirage	D	12	3–9	25%	-0.06
nuke	C	10	4–6	40%	-0.04
office	D	8	2–6	25%	-0.04
cache	C	8	3–5	38%	-0.04
train	D	7	2–5	29%	-0.05
dust2	C	5	2–3	40%	-0.05
italy	D	5	0–5	0%	-0.02
overpass	—	2	0–2	0%	-0.09
inferno	—	2	1–1	50%	-0.00
shelter	—	1	0–1	0%	-0.03
boulder	—	1	0–1	0%	-0.04
alpine	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Lifetime stats

2,068Lifetime kills

0.57K/D

213Matches

34.7%Match win rate

35.8%Headshot %

0.0%Shot accuracy

183MVPs

66Hours (in match)

194Bombs planted

22Bombs defused

Most-used weapons

AK-47672

M4A4 / M4A1-S564

Glock-18120

MP7110

P2000 / USP-S100

Dual Berettas71

FAMAS69

MAC-1058

M24950

AWP39

Lifetime map wins

223vertigo

190nuke

134office

132dust2

131train

57inferno

51italy

1ar_baggage

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.

9.8%Headshot accuracy

25.5%Accuracy (enemy spotted)

27.0%Spray accuracy

59.3%Counter-strafing

12.8°Preaim

697msReaction time

30.6%T opening success

25.2%CT opening success

0.10Enemies flashed / flash

0.0%Flash assists

1.47HE damage / grenade

0.63Flashes / 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 12.8255° — 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 9.8309% — below the 15% mark we flag
Aim Training →
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 0.1028 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	14–16	-0.05	6%	27 Aug →
ancient	13–11	-0.01	8%	27 Aug →
dust2	8–13	-0.05	8%	5 Aug →
vertigo	13–3	0.01	16%	3 Aug →
vertigo	13–7	-0.02	14%	3 Aug →
office	7–13	-0.13	0%	27 Jul →
anubis	11–13	-0.01	16%	24 Jul →
ancient	13–7	-0.04	7%	24 Jul →
vertigo	13–8	-0.01	9%	22 Jul →
train	9–13	-0.07	6%	21 Jul →
office	12–12	-0.04	8%	21 Jul →
mirage	5–13	-0.05	5%	14 Jul →
nuke	8–13	-0.08	9%	14 Jul →
shelter	5–13	-0.03	6%	13 Jul →
mirage	13–10	-0.04	4%	13 Jul →
anubis	13–7	-0.01	13%	9 Jul →
boulder	5–13	-0.04	0%	9 Jul →
mirage	12–12	-0.07	9%	8 Jul →
cache	5–13	-0.08	8%	8 Jul →
mirage	4–13	-0.11	5%	3 Jul →
mirage	5–13	-0.00	27%	2 Jul →
train	13–8	0.02	8%	2 Jul →
ancient	13–10	-0.04	10%	1 Jul →
nuke	9–13	-0.01	11%	1 Jul →
ancient	9–13	-0.07	10%	1 Jul →
cache	5–13	-0.03	6%	29 Jun →
dust2	8–13	-0.04	17%	24 Jun →
cache	5–13	-0.09	13%	24 Jun →
dust2	13–6	-0.03	27%	24 Jun →
anubis	8–13	-0.09	13%	18 Jun →
nuke	13–4	-0.13	0%	16 Jun →
mirage	8–13	-0.07	6%	16 Jun →
mirage	6–13	-0.03	7%	15 Jun →
nuke	5–13	-0.04	4%	15 Jun →
ancient	7–13	-0.07	8%	15 Jun →
nuke	13–8	0.02	15%	15 Jun →
anubis	13–2	0.04	18%	15 Jun →
anubis	13–4	-0.07	3%	13 Jun →
cache	9–13	-0.07	25%	13 Jun →
train	5–13	-0.12	0%	11 Jun →
vertigo	13–2	0.02	8%	11 Jun →
ancient	4–0	0.02	33%	11 Jun →
mirage	0–13	-0.12	13%	10 Jun →
italy	6–13	-0.02	11%	10 Jun →
train	13–3	0.04	14%	10 Jun →
cache	13–3	-0.03	5%	5 Jun →
ancient	3–13	-0.11	7%	5 Jun →
anubis	13–7	-0.04	11%	5 Jun →
anubis	7–13	-0.12	10%	5 Jun →
nuke	13–5	-0.08	14%	4 Jun →
vertigo	12–12	-0.03	17%	4 Jun →
cache	13–11	-0.07	3%	1 Jun →
nuke	13–11	0.04	3%	1 Jun →
vertigo	13–11	-0.05	5%	1 Jun →
train	8–13	-0.04	4%	1 Jun →
ancient	12–12	-0.08	4%	1 Jun →
ancient	13–9	-0.06	2%	27 May →
office	7–13	-0.08	8%	27 May →
ancient	9–13	-0.03	16%	27 May →
anubis	13–11	0.01	25%	27 May →
nuke	6–13	-0.06	10%	24 May →
mirage	9–13	-0.06	10%	24 May →
ancient	6–13	-0.06	18%	24 May →
italy	4–13	-0.10	32%	24 May →
mirage	13–6	-0.09	7%	21 May →
anubis	15–15	-0.06	3%	21 May →
office	3–0	0.03	0%	21 May →
dust2	5–13	-0.07	14%	21 May →
italy	4–13	-0.02	6%	20 May →
vertigo	12–12	-0.06	6%	20 May →
nuke	6–13	-0.04	10%	20 May →
ancient	9–13	-0.05	12%	20 May →
alpine	4–13	-0.09	13%	20 May →
anubis	2–13	-0.09	5%	20 May →
vertigo	13–7	0.00	7%	19 May →
office	13–10	-0.04	33%	18 May →
vertigo	9–13	-0.02	4%	18 May →
dust2	13–10	-0.05	6%	18 May →
anubis	13–9	-0.01	14%	18 May →
nuke	11–13	-0.07	7%	14 May →
mirage	13–9	-0.06	9%	14 May →
italy	12–12	0.04	13%	14 May →
vertigo	2–13	-0.07	20%	13 May →
ancient	4–13	-0.08	14%	13 May →
office	12–12	-0.05	9%	13 May →
overpass	5–13	-0.07	6%	4 May →
inferno	13–11	0.04	15%	4 May →
vertigo	12–12	-0.05	16%	4 May →
cache	12–12	-0.00	12%	1 May →
ancient	7–13	-0.01	10%	1 May →
office	9–13	0.04	16%	29 Apr →
inferno	9–13	-0.04	5%	29 Apr →
cache	13–9	0.02	6%	29 Apr →
mirage	8–13	-0.01	13%	24 Apr →
train	2–13	-0.07	3%	23 Apr →
office	12–12	-0.06	10%	23 Apr →
overpass	3–13	-0.10	9%	21 Apr →
train	0–13	-0.09	20%	21 Apr →
vertigo	9–13	-0.09	10%	17 Apr →
italy	11–13	-0.00	10%	15 Apr →