MagicalColt — CS2 Stats

US76561199570020136[U:1:1609754408]Steam profile ↗✓ No bans

1,895Tracked matches48%Win rate2023Tracked since

CSDB Rating5.5 SolidAll-Rounder

Premier CS Rating11,927Blue band · top ~44.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning68

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLWWWLTLWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −4.3pp headshot accuracy · +34ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 10%
Avg reaction 575ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 581ms

Last 20

8–8–4 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 13%
Avg reaction 565ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.8

Utility6.5

Positioning6.8

Opening Duels5.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.8

Positioning6.8

Utility6.5

Mechanics3.4

Opening Duels7.6

Win Impact4.3

Composite 5.5/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time563ms−10ms

first ⅓ avg 573ms → last ⅓ avg 563ms

Headshot accuracy12.9%+0.6%

first ⅓ avg 12.4% → last ⅓ avg 12.9%

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.

Personal bests

0.27Best match rating · 9–2 · inferno, 24 Sept →

100%Best headshot accuracy · 13–1 · nuke, 4 Oct →

391msFastest reaction time · 7–13 · mirage, 3 Oct →

13–0Biggest win · mirage, 28 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 67% over 12ancientWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	19–11	63%	0.03
nuke	C	18	8–10	44%	0.04
inferno	C	16	7–9	44%	0.01
ancient	D	12	3–9	25%	0.00
mirage	S	12	8–4	67%	0.02
cache	A	7	4–3	57%	-0.00
anubis	—	4	1–3	25%	0.02
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

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

Skill profile

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

13.1%Headshot accuracy

38.8%Accuracy (enemy spotted)

37.9%Spray accuracy

65.3%Counter-strafing

10.9°Preaim

562msReaction time

64.3%T opening success

56.5%CT opening success

0.74Enemies flashed / flash

8.4%Flash assists

11.76HE damage / grenade

14.84Flashes / 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 13.0566% — below the 15% mark we flag
Aim Training →

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	0.03	10%	15 Nov →
inferno	13–5	0.03	17%	15 Nov →
anubis	13–3	0.07	4%	15 Nov →
nuke	13–11	-0.01	9%	14 Nov →
ancient	7–13	-0.01	9%	14 Nov →
nuke	15–15	0.05	12%	13 Nov →
mirage	6–13	-0.01	19%	12 Nov →
dust2	13–6	-0.02	5%	10 Nov →
cache	7–13	0.01	9%	9 Nov →
nuke	8–13	0.11	14%	8 Nov →
ancient	11–13	0.03	16%	8 Nov →
dust2	10–13	0.04	22%	8 Nov →
nuke	3–13	0.06	12%	8 Nov →
ancient	15–15	0.07	11%	8 Nov →
ancient	15–15	-0.02	13%	7 Nov →
mirage	13–5	0.02	22%	7 Nov →
cache	13–5	-0.03	14%	7 Nov →
dust2	13–8	0.03	21%	7 Nov →
overpass	11–7	0.01	13%	7 Nov →
nuke	12–12	0.04	7%	7 Nov →
dust2	12–12	0.01	7%	6 Nov →
mirage	9–13	0.04	11%	6 Nov →
dust2	4–13	-0.02	9%	6 Nov →
inferno	2–9	-0.17	9%	6 Nov →
anubis	8–13	-0.00	18%	3 Nov →
dust2	13–11	-0.00	15%	3 Nov →
dust2	12–12	0.05	12%	3 Nov →
mirage	13–0	0.17	10%	28 Oct →
dust2	12–12	0.07	10%	28 Oct →
dust2	13–2	0.09	26%	27 Oct →
dust2	11–13	0.02	18%	27 Oct →
inferno	16–13	0.00	7%	25 Oct →
inferno	16–13	-0.02	16%	25 Oct →
ancient	11–13	-0.01	5%	25 Oct →
dust2	13–11	-0.01	9%	25 Oct →
dust2	13–9	0.01	22%	24 Oct →
nuke	13–10	0.06	10%	24 Oct →
dust2	13–16	0.03	9%	23 Oct →
dust2	13–4	0.07	12%	23 Oct →
nuke	9–13	0.09	16%	23 Oct →
inferno	3–13	0.02	7%	22 Oct →
dust2	4–13	-0.04	17%	21 Oct →
nuke	9–13	-0.04	4%	21 Oct →
inferno	10–13	-0.03	6%	21 Oct →
dust2	13–11	0.02	8%	20 Oct →
ancient	13–2	0.04	14%	20 Oct →
ancient	13–10	0.04	0%	18 Oct →
cache	2–13	-0.03	14%	18 Oct →
dust2	13–3	0.03	29%	18 Oct →
inferno	5–13	-0.00	23%	17 Oct →
nuke	13–8	0.10	12%	17 Oct →
ancient	10–13	0.00	6%	17 Oct →
dust2	13–10	0.02	21%	17 Oct →
dust2	13–9	0.10	18%	16 Oct →
mirage	13–8	0.02	11%	16 Oct →
nuke	14–16	0.03	16%	15 Oct →
mirage	13–6	-0.04	13%	14 Oct →
inferno	15–15	0.02	13%	14 Oct →
mirage	8–13	-0.04	13%	12 Oct →
nuke	13–10	0.06	7%	12 Oct →
dust2	13–9	0.01	15%	11 Oct →
nuke	13–6	0.09	4%	11 Oct →
inferno	13–10	0.06	10%	11 Oct →
anubis	11–13	0.04	6%	10 Oct →
mirage	13–6	-0.01	15%	10 Oct →
anubis	5–13	-0.02	13%	10 Oct →
dust2	6–3	0.01	8%	10 Oct →
dust2	13–2	0.01	10%	9 Oct →
mirage	13–5	0.04	14%	9 Oct →
cache	13–11	0.01	5%	7 Oct →
nuke	15–15	0.03	17%	7 Oct →
inferno	13–4	0.08	18%	5 Oct →
ancient	2–13	-0.00	6%	5 Oct →
nuke	13–1	0.02	100%	4 Oct →
nuke	13–5	-0.06	10%	3 Oct →
dust2	13–2	-0.02	10%	3 Oct →
mirage	7–13	0.04	4%	3 Oct →
ancient	10–13	0.03	11%	3 Oct →
dust2	13–8	0.08	10%	3 Oct →
inferno	8–5	0.06	4%	3 Oct →
mirage	13–3	-0.02	9%	2 Oct →
dust2	11–13	0.06	14%	30 Sept →
ancient	8–13	-0.10	10%	28 Sept →
nuke	9–13	0.05	5%	28 Sept →
dust2	6–13	0.05	14%	27 Sept →
mirage	13–5	0.10	9%	27 Sept →
inferno	7–13	-0.05	13%	27 Sept →
cache	13–7	0.02	14%	27 Sept →
inferno	11–13	0.00	11%	27 Sept →
dust2	13–6	0.12	8%	27 Sept →
cache	13–6	0.09	8%	27 Sept →
ancient	13–11	-0.01	10%	26 Sept →
dust2	10–13	0.03	9%	25 Sept →
cache	8–13	-0.07	6%	25 Sept →
dust2	13–8	0.07	1%	25 Sept →
inferno	9–13	-0.06	9%	24 Sept →
nuke	13–10	0.05	8%	24 Sept →
inferno	9–2	0.27	24%	24 Sept →
dust2	13–6	0.00	2%	21 Sept →
nuke	9–13	-0.05	5%	19 Sept →