Uncle — CS2 Stats

76561198894945159[U:1:934679431]✓ No bans

4,540Tracked matches47%Win rate2020Tracked since

6,617Hours in CS29Hrs last 2 wks

CSDB Rating4.1 Developing

Premier CS Rating9,506Light Blue band · top ~57.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning40

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLWLLWWLLW

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

Player DNA

Aim4.6

Aggression6.5

Utility6.6

Positioning4.0

Opening Duels2.1

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 Twistzz 84% playstyle similarity

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

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

T-side openings. Opening success drops from 57% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Aim4.6

Positioning4.0

Utility6.6

Mechanics4.6

Opening Duels3.4

Win Impact3.9

Composite 4.1/10 (Developing), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time663ms−54ms

first ⅓ avg 717ms → last ⅓ avg 663ms

Headshot accuracy11.1%−3.3%

first ⅓ avg 14.4% → last ⅓ avg 11.1%

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

0.13Best rating — mirage 13–7

13–1Biggest win — anubis

6Longest win streak

L2Current streak

3–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 64% over 36infernoWeakest map · 32% over 28

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	23–13	64%	0.01
inferno	D	28	9–19	32%	-0.00
mirage	A	18	10–8	56%	0.01
nuke	A	7	4–3	57%	-0.02
ancient	—	4	1–3	25%	-0.01
anubis	—	4	3–1	75%	0.02
cache	—	2	1–1	50%	-0.05
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,740Lifetime kills

0.95K/D

7,181Matches

40.9%Match win rate

35.3%Headshot %

9.5%Shot accuracy

14,477MVPs

3,258Hours (in match)

9,278Bombs planted

1,847Bombs defused

Most-used weapons

AK-4728,308

M4A4 / M4A1-S24,131

AWP18,000

P905,453

P2000 / USP-S4,977

MP94,028

Glock-183,837

MAC-103,694

Negev2,824

Galil AR2,788

Lifetime map wins

27,479dust2

16,193inferno

3,432nuke

1,389vertigo

1,165train

103office

13italy

13cbble

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.

11.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

35.6%Spray accuracy

70.9%Counter-strafing

9.5°Preaim

662msReaction time

19.9%T opening success

56.9%CT opening success

0.69Enemies flashed / flash

4.6%Flash assists

10.61HE damage / grenade

11.62Flashes / 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 11.1585% — 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 19.8643% — 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.

32% win rate across 28 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
mirage	9–13	-0.03	15%	26 Aug →
inferno	2–13	-0.11	14%	26 Aug →
dust2	13–8	0.05	8%	26 Aug →
dust2	7–13	-0.07	13%	26 Aug →
nuke	10–13	-0.00	12%	25 Aug →
dust2	13–3	0.03	15%	25 Aug →
inferno	13–7	0.03	20%	25 Aug →
dust2	3–13	0.02	13%	25 Aug →
inferno	9–13	0.02	14%	25 Aug →
mirage	13–8	-0.06	3%	24 Aug →
cache	13–9	-0.01	10%	24 Aug →
inferno	16–12	0.12	13%	24 Aug →
dust2	13–8	-0.02	5%	24 Aug →
inferno	13–2	-0.05	5%	24 Aug →
dust2	5–13	-0.02	11%	24 Aug →
mirage	13–7	0.01	12%	24 Aug →
inferno	5–13	-0.01	10%	22 Aug →
dust2	13–7	0.01	4%	22 Aug →
dust2	10–13	-0.01	8%	22 Aug →
mirage	13–10	0.02	16%	21 Aug →
dust2	13–4	0.04	9%	21 Aug →
dust2	8–13	-0.03	8%	21 Aug →
inferno	14–16	-0.04	12%	19 Aug →
dust2	13–9	0.05	9%	19 Aug →
cache	2–13	-0.08	8%	19 Aug →
inferno	9–13	0.02	6%	19 Aug →
dust2	13–5	0.02	17%	19 Aug →
ancient	11–13	-0.01	17%	19 Aug →
inferno	5–13	0.01	15%	19 Aug →
mirage	11–13	-0.05	12%	19 Aug →
nuke	13–11	-0.04	9%	19 Aug →
inferno	13–3	0.11	12%	19 Aug →
anubis	13–10	0.05	13%	19 Aug →
dust2	13–4	0.07	15%	19 Aug →
inferno	6–13	0.03	21%	14 Aug →
dust2	13–4	0.03	12%	14 Aug →
dust2	10–13	0.03	14%	14 Aug →
mirage	13–9	0.05	17%	12 Aug →
dust2	13–6	0.09	16%	12 Aug →
inferno	6–13	-0.03	14%	12 Aug →
dust2	13–6	-0.03	3%	12 Aug →
dust2	3–13	0.01	8%	11 Aug →
nuke	13–9	0.09	11%	11 Aug →
nuke	13–8	-0.02	7%	11 Aug →
mirage	13–4	0.00	19%	11 Aug →
dust2	10–13	-0.02	11%	11 Aug →
inferno	15–15	-0.04	16%	11 Aug →
inferno	6–13	-0.06	0%	9 Aug →
dust2	5–13	-0.04	8%	9 Aug →
mirage	13–11	-0.02	19%	9 Aug →
dust2	13–4	0.06	33%	9 Aug →
nuke	7–13	-0.06	19%	9 Aug →
inferno	13–2	0.03	22%	9 Aug →
inferno	13–9	-0.01	10%	9 Aug →
mirage	10–13	-0.02	20%	8 Aug →
ancient	15–15	0.01	21%	8 Aug →
mirage	5–13	0.02	19%	8 Aug →
inferno	14–16	-0.06	4%	8 Aug →
dust2	13–16	-0.04	10%	8 Aug →
mirage	8–13	0.01	16%	8 Aug →
dust2	13–5	-0.06	3%	7 Aug →
nuke	13–10	0.01	21%	7 Aug →
dust2	9–13	0.04	8%	7 Aug →
anubis	10–13	0.00	23%	7 Aug →
ancient	3–13	-0.11	13%	7 Aug →
train	1–13	-0.02	20%	7 Aug →
inferno	13–8	0.05	1%	7 Aug →
inferno	9–13	0.06	20%	7 Aug →
dust2	13–8	0.08	8%	7 Aug →
mirage	13–4	0.01	16%	7 Aug →
inferno	11–13	0.01	8%	7 Aug →
mirage	13–6	0.06	12%	7 Aug →
anubis	13–6	-0.02	4%	7 Aug →
dust2	13–9	-0.03	15%	5 Aug →
inferno	15–15	-0.02	11%	5 Aug →
inferno	4–13	-0.05	14%	5 Aug →
dust2	8–13	-0.05	25%	5 Aug →
mirage	13–7	0.13	6%	5 Aug →
inferno	8–13	-0.01	12%	5 Aug →
dust2	10–13	-0.03	11%	5 Aug →
mirage	6–13	-0.02	9%	3 Aug →
dust2	13–11	0.00	11%	3 Aug →
anubis	13–1	0.03	12%	29 Jul →
dust2	13–3	0.03	13%	29 Jul →
inferno	10–13	0.01	19%	29 Jul →
dust2	13–6	0.03	10%	29 Jul →
dust2	13–3	0.04	11%	29 Jul →
dust2	13–3	0.07	21%	29 Jul →
mirage	6–13	-0.04	14%	29 Jul →
dust2	13–5	0.03	14%	29 Jul →
nuke	6–13	-0.08	15%	29 Jul →
inferno	2–13	-0.07	21%	27 Jul →
inferno	5–13	-0.10	22%	27 Jul →
mirage	13–1	0.05	18%	27 Jul →
ancient	16–12	0.05	18%	27 Jul →
inferno	13–2	0.05	21%	27 Jul →
dust2	13–4	-0.03	31%	27 Jul →
inferno	13–3	0.02	11%	27 Jul →
dust2	13–5	-0.04	8%	27 Jul →
mirage	3–13	-0.03	17%	27 Jul →