James Moore — CS2 Stats

CA76561198114957190[U:1:154691462]Steam profile ↗✓ No bans

1,592Tracked matches45%Win rate2021Tracked since

2,315Hours in CS30Hrs last 2 wks

CSDB Rating3.3 Learning

Premier CS Rating8,715Light Blue band · top ~61% of ranked players (population est.)

CSDB Leaderboard#14895 of 19944 tracked

Ladder ranks via Leetify

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Performance scores

Aim30

Positioning41

Utility56

0–100 skill scores via Leetify.

Recent form

COLD38–56–6Last 10038%Win rateTLLLLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim3.0

Aggression4.1

Utility5.6

Positioning4.1

Opening Duels1.3

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 79% playstyle similarity

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

Where you differ: lower positioning profile; 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. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.0

Positioning4.1

Utility5.6

Mechanics4.1

Opening Duels1.3

Win Impact3.3

Composite 3.3/10 (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+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time639ms−53ms

first ⅓ avg 692ms → last ⅓ avg 639ms

Headshot accuracy13.3%+0.1%

first ⅓ avg 13.2% → last ⅓ avg 13.3%

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 — anubis 13–5

13–4Biggest win — cache

4Longest win streak

3–4In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 60% over 20infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	12–8	60%	-0.04
cache	D	19	6–13	32%	-0.04
mirage	D	15	5–10	33%	-0.01
nuke	C	14	6–8	43%	-0.02
inferno	D	12	3–9	25%	-0.03
anubis	D	10	3–7	30%	0.00
ancient	D	8	2–6	25%	-0.05
vertigo	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,909Lifetime kills

0.84K/D

3,144Matches

42.5%Match win rate

32.0%Headshot %

8.9%Shot accuracy

5,105MVPs

1,127Hours (in match)

2,706Bombs planted

589Bombs defused

Most-used weapons

M4A4 / M4A1-S7,460

AWP6,549

AK-475,788

MAC-103,359

MP93,013

Galil AR1,859

Desert Eagle1,793

P2000 / USP-S1,705

Glock-181,659

Nova1,371

Lifetime map wins

5,336dust2

2,875inferno

2,854nuke

1,266train

590vertigo

119lake

79safehouse

48office

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.

13.7%Headshot accuracy

26.4%Accuracy (enemy spotted)

31.9%Spray accuracy

68.3%Counter-strafing

11.0°Preaim

634msReaction time

38.6%T opening success

31.8%CT opening success

0.60Enemies flashed / flash

5.9%Flash assists

13.09HE damage / grenade

4.97Flashes / 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.

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 13.7124% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.5659% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	-0.03	13%	26 Aug →
dust2	3–13	-0.11	0%	25 Aug →
nuke	5–13	0.03	14%	24 Aug →
dust2	11–13	-0.02	13%	24 Aug →
nuke	5–13	-0.04	9%	24 Aug →
cache	11–13	0.01	11%	23 Aug →
anubis	13–5	0.01	7%	23 Aug →
nuke	13–5	-0.03	13%	23 Aug →
mirage	6–13	-0.08	19%	23 Aug →
mirage	10–13	-0.03	6%	23 Aug →
anubis	13–5	0.19	12%	23 Aug →
anubis	13–10	-0.05	7%	22 Aug →
mirage	10–13	0.05	14%	22 Aug →
inferno	13–8	-0.02	15%	22 Aug →
cache	10–13	-0.09	13%	20 Aug →
cache	13–4	0.06	13%	20 Aug →
dust2	13–8	-0.07	7%	20 Aug →
dust2	9–8	-0.04	16%	20 Aug →
inferno	4–13	-0.08	19%	20 Aug →
dust2	6–13	-0.05	12%	20 Aug →
vertigo	7–13	-0.08	15%	19 Aug →
cache	13–10	-0.01	18%	19 Aug →
anubis	3–13	-0.05	20%	19 Aug →
ancient	4–13	-0.11	18%	19 Aug →
nuke	13–5	-0.05	16%	18 Aug →
dust2	13–6	0.02	11%	18 Aug →
ancient	12–16	-0.04	13%	18 Aug →
dust2	16–13	0.02	30%	18 Aug →
mirage	1–13	-0.08	27%	17 Aug →
dust2	13–6	-0.02	9%	17 Aug →
anubis	10–13	0.03	16%	17 Aug →
dust2	13–11	-0.01	5%	16 Aug →
cache	13–16	-0.05	7%	16 Aug →
ancient	11–13	-0.07	13%	16 Aug →
dust2	13–5	0.01	14%	16 Aug →
dust2	13–9	-0.01	12%	16 Aug →
nuke	13–5	0.06	14%	16 Aug →
mirage	13–9	-0.02	6%	16 Aug →
nuke	3–13	-0.05	17%	15 Aug →
mirage	13–8	0.00	12%	15 Aug →
dust2	16–13	0.00	18%	15 Aug →
ancient	13–7	0.00	17%	15 Aug →
ancient	15–15	-0.02	12%	15 Aug →
cache	6–13	-0.11	0%	15 Aug →
anubis	8–13	-0.02	12%	13 Aug →
anubis	5–13	-0.03	6%	13 Aug →
cache	13–9	-0.02	18%	13 Aug →
mirage	13–10	0.03	11%	13 Aug →
dust2	2–13	-0.02	15%	12 Aug →
inferno	13–16	-0.05	6%	12 Aug →
ancient	8–13	-0.08	16%	11 Aug →
ancient	6–13	-0.05	11%	11 Aug →
cache	9–13	-0.05	11%	11 Aug →
dust2	10–13	-0.03	13%	10 Aug →
inferno	9–13	0.05	16%	10 Aug →
inferno	13–7	-0.03	14%	10 Aug →
inferno	15–15	-0.02	11%	10 Aug →
nuke	13–10	-0.01	3%	10 Aug →
cache	13–5	-0.05	7%	10 Aug →
nuke	3–13	-0.06	16%	9 Aug →
anubis	15–15	0.02	16%	9 Aug →
inferno	13–6	0.00	13%	9 Aug →
mirage	8–13	-0.06	9%	9 Aug →
mirage	4–13	0.03	7%	9 Aug →
mirage	6–13	0.03	10%	9 Aug →
inferno	6–13	-0.04	13%	5 Aug →
cache	13–16	0.03	13%	4 Aug →
dust2	13–9	-0.05	10%	4 Aug →
cache	10–13	-0.04	6%	2 Aug →
nuke	8–13	-0.07	18%	31 Jul →
inferno	6–13	-0.08	6%	31 Jul →
dust2	13–8	-0.04	9%	31 Jul →
nuke	13–5	-0.04	13%	30 Jul →
nuke	10–13	0.09	15%	30 Jul →
mirage	13–9	0.05	19%	30 Jul →
nuke	13–10	-0.03	21%	30 Jul →
nuke	8–13	-0.02	9%	29 Jul →
anubis	15–15	-0.08	13%	29 Jul →
dust2	6–13	-0.07	10%	21 Jul →
cache	8–13	-0.04	14%	21 Jul →
mirage	10–13	0.02	11%	18 Jul →
dust2	9–13	-0.09	9%	18 Jul →
inferno	6–13	-0.05	35%	15 Jul →
cache	13–7	-0.05	11%	15 Jul →
anubis	4–13	-0.01	22%	11 Jul →
inferno	9–13	-0.01	12%	11 Jul →
nuke	5–13	-0.08	17%	11 Jul →
cache	11–13	-0.09	10%	10 Jul →
ancient	13–6	0.00	14%	10 Jul →
cache	6–13	-0.09	9%	9 Jul →
cache	9–13	-0.02	10%	9 Jul →
cache	9–13	-0.03	7%	9 Jul →
cache	6–13	-0.07	9%	9 Jul →
mirage	13–11	-0.06	20%	9 Jul →
dust2	13–8	-0.04	13%	8 Jul →
mirage	12–12	-0.07	3%	8 Jul →
vertigo	13–8	0.01	22%	6 Jul →
cache	13–7	-0.07	16%	6 Jul →
mirage	6–13	-0.00	13%	6 Jul →
dust2	12–16	-0.09	10%	4 Jul →