Tolkien — CS2 Stats

76561199436026091[U:1:1475760363]Steam profile ↗

1,046Tracked matches48%Win rate2024Tracked since

CSDB Rating3.0 Learning

Premier CS Rating7,783Light Blue band · top ~65.5% of ranked players (population est.)

CSDB Leaderboard#15178 of 20130 tracked

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning28

Utility26

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLLLWWLLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim3.7

Aggression2.1

Utility2.6

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 65% playstyle similarity

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

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. 682ms 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

Aim3.7

Positioning2.8

Utility2.6

Mechanics5.5

Opening Duels0.0

Win Impact4.4

Composite 3.0/10 (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-0.05−0.03

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time681ms+10ms

first ⅓ avg 671ms → last ⅓ avg 681ms

Headshot accuracy12.7%−1.7%

first ⅓ avg 14.4% → last ⅓ avg 12.7%

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

0.21Best rating — cache 13–6

13–2Biggest win — alpine

4Longest win streak

L5Current streak

6–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	20	11–9	55%	-0.02
mirage	D	14	4–10	29%	-0.03
nuke	C	14	6–8	43%	-0.04
ancient	C	13	5–8	38%	-0.05
dust2	B	13	6–7	46%	-0.02
inferno	D	9	3–6	33%	-0.02
overpass	B	8	4–4	50%	-0.04
anubis	S	7	5–2	71%	-0.04
alpine	—	1	1–0	100%	0.02
train	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage 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.

13.2%Headshot accuracy

28.1%Accuracy (enemy spotted)

28.5%Spray accuracy

74.7%Counter-strafing

8.5°Preaim

682msReaction time

29.0%T opening success

23.0%CT opening success

0.24Enemies flashed / flash

0.9%Flash assists

6.95HE damage / grenade

6.73Flashes / 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 13.154% — 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 0.2388 — below the 0.5 mark we flag
Grenade Lineups →
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 28.9923% — below the 40% mark we flag

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.

29% win rate across 14 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
mirage	7–13	-0.04	19%	3 Jul →
inferno	10–13	0.01	15%	3 Jul →
nuke	6–10	-0.04	6%	2 Jul →
cache	11–13	-0.05	19%	2 Jul →
ancient	7–13	-0.08	14%	2 Jul →
cache	13–9	-0.02	20%	1 Jul →
nuke	13–6	-0.03	10%	1 Jul →
mirage	4–13	-0.02	27%	22 Jun →
cache	2–13	-0.06	0%	22 Jun →
ancient	1–13	-0.10	8%	22 Jun →
inferno	4–13	-0.09	5%	22 Jun →
nuke	13–9	-0.00	15%	20 Jun →
anubis	13–8	-0.04	7%	18 Jun →
overpass	12–12	-0.04	13%	18 Jun →
ancient	7–13	-0.03	10%	18 Jun →
ancient	13–4	-0.05	13%	17 Jun →
inferno	13–11	-0.06	12%	17 Jun →
nuke	13–5	-0.05	4%	17 Jun →
cache	13–5	-0.07	26%	17 Jun →
nuke	6–13	-0.06	13%	17 Jun →
mirage	8–13	-0.03	23%	17 Jun →
inferno	13–8	-0.04	6%	16 Jun →
dust2	7–13	-0.09	0%	16 Jun →
ancient	13–11	-0.13	9%	16 Jun →
dust2	13–5	-0.05	28%	15 Jun →
mirage	13–4	-0.01	18%	15 Jun →
nuke	4–13	-0.08	0%	13 Jun →
alpine	13–2	0.02	26%	13 Jun →
ancient	7–13	-0.07	7%	12 Jun →
overpass	13–10	-0.02	10%	11 Jun →
anubis	13–11	-0.07	8%	11 Jun →
mirage	9–13	-0.03	13%	11 Jun →
dust2	9–13	-0.07	14%	11 Jun →
nuke	16–13	0.01	17%	11 Jun →
dust2	13–11	0.01	17%	11 Jun →
dust2	13–11	-0.01	8%	11 Jun →
nuke	9–13	-0.02	12%	9 Jun →
inferno	13–5	0.05	9%	9 Jun →
anubis	13–6	-0.09	5%	9 Jun →
dust2	5–13	-0.03	21%	9 Jun →
train	13–5	0.01	22%	9 Jun →
mirage	13–9	-0.03	18%	9 Jun →
overpass	12–12	-0.11	10%	9 Jun →
ancient	11–2	-0.02	8%	9 Jun →
dust2	11–13	-0.05	20%	8 Jun →
ancient	13–10	0.08	13%	8 Jun →
anubis	10–13	0.04	20%	3 Jun →
mirage	9–13	-0.05	11%	2 Jun →
cache	0–6	-0.09	17%	19 May →
nuke	13–2	-0.01	22%	19 May →
inferno	9–13	0.02	19%	19 May →
mirage	12–12	-0.08	10%	19 May →
dust2	7–13	0.02	17%	19 May →
ancient	2–13	-0.08	15%	19 May →
mirage	1–13	0.00	15%	19 May →
cache	13–8	-0.08	11%	7 May →
ancient	13–9	0.00	17%	4 May →
cache	13–8	0.01	15%	4 May →
cache	13–4	-0.04	16%	4 May →
cache	7–13	-0.06	13%	4 May →
cache	5–13	-0.03	16%	4 May →
cache	12–12	-0.01	11%	4 May →
cache	13–3	-0.01	23%	3 May →
cache	10–13	-0.10	12%	3 May →
cache	9–13	0.01	15%	2 May →
cache	13–6	-0.03	24%	2 May →
cache	13–10	-0.02	16%	2 May →
cache	13–7	-0.02	12%	1 May →
mirage	6–13	-0.03	9%	1 May →
cache	11–13	0.08	15%	1 May →
cache	13–8	-0.05	5%	29 Apr →
cache	13–6	0.21	15%	29 Apr →
ancient	10–13	-0.06	12%	28 Apr →
mirage	12–12	-0.04	14%	28 Apr →
inferno	9–13	-0.06	10%	28 Apr →
ancient	7–13	-0.10	4%	28 Apr →
mirage	13–7	0.03	15%	28 Apr →
nuke	13–9	-0.03	15%	27 Apr →
anubis	13–9	-0.02	15%	27 Apr →
anubis	13–9	-0.08	12%	27 Apr →
dust2	10–13	-0.02	24%	27 Apr →
overpass	13–7	-0.02	12%	27 Apr →
nuke	9–13	-0.01	7%	27 Apr →
dust2	12–12	0.00	15%	22 Apr →
mirage	13–11	0.03	11%	22 Apr →
inferno	10–13	-0.01	24%	21 Apr →
dust2	13–8	-0.00	29%	21 Apr →
overpass	13–5	-0.03	18%	21 Apr →
ancient	4–13	-0.04	10%	21 Apr →
dust2	13–3	0.03	11%	21 Apr →
nuke	8–13	-0.10	12%	20 Apr →
inferno	6–13	-0.01	29%	20 Apr →
overpass	13–10	-0.03	13%	20 Apr →
anubis	11–13	-0.00	14%	14 Apr →
overpass	0–13	-0.10	24%	14 Apr →
nuke	7–13	-0.03	8%	13 Apr →
mirage	7–13	-0.08	14%	13 Apr →
nuke	10–13	-0.03	24%	8 Apr →
overpass	7–13	0.03	17%	8 Apr →
dust2	13–9	-0.02	9%	7 Apr →