John Battlefield — CS2 Stats

76561198253565907[U:1:293300179]Steam profile ↗✓ No bans

1,428Tracked matches45%Win rate2020Tracked since

CSDB Rating3.0 Learning

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim26

Positioning42

Utility19

0–100 skill scores via Leetify.

Recent form

STEADY40–54–6Last 10040%Win rateLWLLWLWLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim2.6

Aggression2.6

Utility1.9

Positioning4.2

Opening Duels0.0

Clutch0.0

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 66% playstyle similarity

Most alike: positioning profile, 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. 755ms 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

Aim2.6

Positioning4.2

Utility1.9

Mechanics4.9

Opening Duels0.0

Win Impact3.3

Composite 3.0/10 (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-0.04+0.03

first ⅓ avg -0.06 → last ⅓ avg -0.04

Reaction time759ms+21ms

first ⅓ avg 738ms → last ⅓ avg 759ms

Headshot accuracy17.3%+5.1%

first ⅓ avg 12.1% → last ⅓ avg 17.3%

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

0.10Best rating — vertigo 13–9

13–2Biggest win — mirage

5Longest win streak

4–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 63% over 8nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	15	6–9	40%	-0.07
cache	C	13	5–8	38%	-0.04
mirage	B	11	5–6	45%	-0.06
train	C	10	4–6	40%	-0.06
vertigo	C	8	3–5	38%	-0.03
inferno	A	8	5–3	63%	-0.03
anubis	D	6	2–4	33%	-0.03
nuke	D	5	1–4	20%	-0.08
overpass	A	5	3–2	60%	-0.03
agency	D	5	1–4	20%	-0.05
grail	C	5	2–3	40%	-0.09
ancient	—	4	0–4	0%	-0.04
jura	—	2	1–1	50%	-0.08
office	—	1	1–0	100%	0.07
warden	—	1	1–0	100%	0.03
stronghold	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

118Matches

42%Win rate

0.55Avg K/D

52.7ADR

40%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	50%	0.57	10.1
Mirage	5	20%	0.21	3.2
Overpass	5	40%	0.44	8.0
Inferno	4	25%	0.41	7.3
Nuke	3	33%	0.41	7.0
Vertigo	2	50%	0.54	9.5
Ancient	2	50%	0.40	7.5
Cache	2	0%	0.55	9.0

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.

17.7%Headshot accuracy

30.5%Accuracy (enemy spotted)

33.1%Spray accuracy

72.0%Counter-strafing

13.8°Preaim

755msReaction time

30.2%T opening success

27.6%CT opening success

0.29Enemies flashed / flash

3.7%Flash assists

5.88HE damage / grenade

2.70Flashes / 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 13.8238° — above the 12° 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 754.959ms — above the 700ms 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 0.2863 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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
cache	7–13	-0.07	18%	9 Jul →
train	13–9	-0.08	40%	9 Jul →
anubis	6–13	-0.01	19%	8 Jun →
cache	3–13	-0.07	27%	8 Jun →
cache	13–3	-0.01	5%	6 Jun →
vertigo	8–13	-0.07	14%	6 Jun →
office	13–9	0.07	12%	5 Jun →
nuke	5–13	-0.12	24%	5 Jun →
cache	7–13	-0.02	26%	5 Jun →
cache	13–3	0.01	25%	4 Jun →
vertigo	7–13	-0.07	15%	31 May →
cache	9–13	-0.05	20%	26 May →
train	11–13	-0.01	17%	26 May →
inferno	4–13	-0.07	13%	22 May →
overpass	13–4	-0.01	21%	22 May →
vertigo	13–3	0.01	12%	20 May →
warden	13–5	0.03	12%	20 May →
ancient	10–13	-0.04	19%	19 May →
mirage	6–13	-0.06	19%	19 May →
inferno	13–8	-0.01	15%	18 May →
vertigo	13–9	0.10	13%	18 May →
stronghold	10–13	-0.08	10%	14 May →
cache	13–4	-0.02	25%	13 May →
train	13–10	0.00	13%	12 May →
overpass	9–13	-0.07	19%	8 May →
cache	13–7	-0.02	21%	8 May →
cache	13–11	-0.10	22%	6 May →
mirage	11–13	-0.08	18%	6 May →
cache	12–12	-0.04	14%	6 May →
inferno	11–13	-0.07	8%	4 May →
cache	3–13	-0.06	9%	4 May →
cache	11–13	-0.03	20%	4 May →
cache	10–13	-0.06	6%	4 May →
nuke	1–13	-0.09	18%	27 Aug →
mirage	5–13	-0.08	8%	21 Aug →
vertigo	13–11	0.03	25%	21 Aug →
inferno	13–6	-0.04	23%	19 Aug →
dust2	5–13	-0.10	31%	19 Aug →
ancient	1–13	-0.03	17%	15 Aug →
nuke	9–5	-0.06	19%	6 Aug →
agency	3–13	-0.09	16%	6 Aug →
mirage	4–13	-0.09	23%	29 Jul →
vertigo	10–13	-0.07	11%	24 Jul →
mirage	13–7	-0.02	22%	24 Jul →
dust2	12–12	-0.12	11%	23 Jul →
inferno	9–7	0.07	9%	18 Jul →
dust2	13–10	-0.03	11%	18 Jul →
train	13–10	-0.09	11%	18 Jul →
dust2	3–13	-0.15	10%	9 Jul →
inferno	13–9	-0.02	8%	9 Jul →
grail	13–9	-0.08	12%	9 Jul →
vertigo	8–8	0.04	3%	3 Jul →
mirage	13–10	-0.04	29%	3 Jul →
dust2	12–12	-0.07	18%	3 Jul →
grail	8–13	-0.05	17%	3 Jul →
anubis	4–13	-0.06	14%	1 Jul →
anubis	1–12	-0.02	7%	30 Jun →
anubis	13–7	-0.02	18%	30 Jun →
anubis	13–10	-0.02	12%	24 Jun →
dust2	13–7	0.00	16%	22 Jun →
train	7–13	-0.11	20%	22 Jun →
dust2	12–12	-0.08	17%	22 Jun →
mirage	13–10	-0.04	12%	22 Jun →
mirage	13–10	-0.06	24%	17 Jun →
agency	13–5	0.05	31%	17 Jun →
ancient	5–13	-0.08	33%	17 Jun →
agency	9–13	-0.13	6%	11 Jun →
jura	7–13	-0.06	10%	4 Jun →
jura	13–10	-0.10	10%	4 Jun →
dust2	13–9	-0.08	15%	4 Jun →
overpass	13–5	-0.08	13%	3 Jun →
dust2	13–10	-0.08	9%	31 May →
train	13–10	-0.05	16%	31 May →
dust2	7–13	-0.12	16%	27 May →
dust2	13–11	-0.03	13%	24 May →
overpass	11–13	0.01	28%	24 May →
agency	6–13	-0.05	10%	24 May →
train	3–13	-0.02	11%	24 May →
train	4–13	-0.05	13%	24 May →
dust2	4–13	-0.03	15%	14 May →
inferno	13–7	-0.06	3%	14 May →
grail	13–7	-0.07	12%	12 May →
grail	5–13	-0.01	20%	11 May →
grail	1–13	-0.23	0%	11 May →
agency	4–13	-0.05	0%	8 May →
dust2	13–6	-0.04	4%	5 May →
inferno	3–13	-0.02	0%	2 May →
dust2	6–13	-0.05	25%	2 May →
vertigo	0–9	-0.21	0%	2 May →
nuke	2–13	-0.07	10%	2 May →
nuke	7–13	-0.05	21%	28 Apr →
overpass	13–7	-0.02	17%	28 Apr →
mirage	13–2	-0.03	10%	28 Apr →
mirage	8–13	-0.05	19%	24 Apr →
mirage	5–13	-0.05	20%	23 Apr →
dust2	11–13	-0.08	5%	23 Apr →
anubis	5–13	-0.04	16%	23 Apr →
train	6–13	-0.07	20%	23 Apr →
train	12–12	-0.08	6%	22 Apr →
ancient	10–13	-0.03	14%	22 Apr →