Uncle Corgi — CS2 Stats

UM76561198050983763[U:1:90718035]Steam profile ↗✓ No bans

1,828Tracked matches47%Win rate2023Tracked since

CSDB Rating5.3 DevelopingSupport

Premier CS Rating18,339Purple band · top ~15.1% of ranked players (population est.)

CSDB Leaderboard#23086 of 48774 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning44

Utility88

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLLLWWWLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.6

Aggression3.8

Utility8.8

Positioning4.4

Opening Duels0.2

Clutch0.0

Effective flashesHigh utility contribution

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-fight frequency; 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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 88 — grenade impact well above the norm.

Areas to improve

Reaction time. 560ms 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

Aim6.6

Positioning4.4

Utility8.8

Mechanics4.8

Opening Duels0.4

Win Impact3.9

Composite 5.3/10 (Developing), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time563ms−32ms

first ⅓ avg 594ms → last ⅓ avg 563ms

Headshot accuracy17.0%+1.6%

first ⅓ avg 15.4% → last ⅓ avg 17.0%

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 — ancient 11–13

13–0Biggest win — nuke

4Longest win streak

11–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 69% over 13dust2Weakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	9–13	41%	0.03
ancient	A	21	12–9	57%	0.03
anubis	A	18	10–8	56%	0.01
nuke	S	13	9–4	69%	0.01
dust2	D	13	4–9	31%	-0.02
cache	D	9	3–6	33%	0.03
mirage	—	4	3–1	75%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

91Matches

45%Win rate

0.97Avg K/D

73.5ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	24	33%	1.06	15.9
Vertigo	15	40%	0.85	14.2
Mirage	13	46%	1.14	17.9
Ancient	10	40%	0.84	12.2
Overpass	9	67%	0.95	13.7
Nuke	8	88%	1.06	17.0
Inferno	7	29%	0.88	14.0
Dust2	2	0%	0.72	12.0

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.

17.0%Headshot accuracy

37.3%Accuracy (enemy spotted)

43.3%Spray accuracy

71.8%Counter-strafing

12.3°Preaim

560msReaction time

28.9%T opening success

33.0%CT opening success

0.76Enemies flashed / flash

16.2%Flash assists

16.79HE damage / grenade

20.80Flashes / 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 12.2951° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	-0.03	6%	30 Aug →
dust2	5–13	-0.02	14%	30 Aug →
ancient	11–13	0.13	15%	30 Aug →
anubis	13–16	-0.01	15%	29 Aug →
ancient	13–11	-0.06	21%	29 Aug →
inferno	13–9	0.04	14%	27 Aug →
anubis	16–13	0.06	9%	27 Aug →
cache	6–13	-0.02	15%	26 Aug →
inferno	9–13	0.03	7%	26 Aug →
dust2	14–16	0.01	20%	25 Aug →
anubis	13–4	-0.01	22%	25 Aug →
nuke	16–13	0.02	16%	25 Aug →
ancient	13–7	0.08	14%	24 Aug →
inferno	13–11	0.03	22%	24 Aug →
anubis	7–13	0.01	11%	24 Aug →
ancient	13–8	0.06	24%	23 Aug →
anubis	4–13	-0.01	9%	23 Aug →
inferno	12–16	0.04	19%	23 Aug →
dust2	13–10	-0.02	11%	23 Aug →
inferno	13–6	0.00	23%	19 Aug →
nuke	10–13	0.02	15%	19 Aug →
nuke	9–13	0.04	22%	19 Aug →
ancient	13–4	0.08	25%	18 Aug →
anubis	10–13	-0.01	15%	18 Aug →
inferno	8–13	0.04	23%	18 Aug →
nuke	13–6	0.09	30%	17 Aug →
inferno	12–16	-0.04	21%	17 Aug →
ancient	2–13	-0.01	21%	17 Aug →
anubis	13–10	-0.03	15%	16 Aug →
nuke	8–13	0.06	17%	16 Aug →
inferno	13–7	0.11	16%	16 Aug →
inferno	10–13	-0.01	14%	12 Aug →
anubis	13–11	-0.03	17%	12 Aug →
nuke	13–10	0.01	15%	12 Aug →
dust2	4–13	-0.07	15%	11 Aug →
anubis	9–13	0.05	15%	11 Aug →
ancient	13–6	0.03	20%	11 Aug →
cache	16–13	0.08	16%	10 Aug →
ancient	13–7	0.07	20%	10 Aug →
dust2	15–15	-0.03	19%	8 Aug →
inferno	11–13	0.04	29%	8 Aug →
inferno	16–12	0.01	15%	8 Aug →
anubis	13–8	0.06	27%	6 Aug →
inferno	13–4	0.10	23%	6 Aug →
cache	8–13	0.04	11%	6 Aug →
mirage	3–13	-0.08	21%	5 Aug →
ancient	13–8	0.02	24%	5 Aug →
anubis	13–5	0.06	23%	5 Aug →
dust2	14–16	0.03	21%	4 Aug →
anubis	13–10	0.03	28%	4 Aug →
dust2	13–11	-0.05	16%	1 Aug →
nuke	13–11	0.01	24%	1 Aug →
ancient	8–13	0.07	18%	1 Aug →
ancient	13–5	0.06	24%	27 Jul →
cache	11–13	0.04	14%	27 Jul →
ancient	8–13	-0.00	17%	27 Jul →
cache	13–11	0.03	20%	25 Jul →
inferno	11–13	0.04	17%	25 Jul →
ancient	13–9	-0.04	14%	25 Jul →
nuke	13–11	0.01	18%	23 Jul →
dust2	9–13	0.01	15%	23 Jul →
nuke	13–11	0.02	19%	22 Jul →
inferno	8–13	0.08	15%	22 Jul →
anubis	14–16	-0.05	12%	21 Jul →
inferno	10–13	-0.00	19%	16 Jul →
nuke	13–0	-0.00	0%	16 Jul →
ancient	15–15	0.05	24%	16 Jul →
dust2	1–13	-0.07	30%	15 Jul →
inferno	0–2	-0.05	0%	15 Jul →
inferno	13–1	0.09	25%	15 Jul →
inferno	6–13	0.02	24%	14 Jul →
anubis	13–9	-0.01	18%	14 Jul →
mirage	13–7	0.07	14%	14 Jul →
inferno	13–3	0.04	13%	13 Jul →
anubis	13–8	0.04	14%	13 Jul →
cache	7–13	-0.03	15%	13 Jul →
cache	7–13	-0.01	20%	13 Jul →
anubis	16–12	0.03	20%	12 Jul →
ancient	15–15	-0.02	10%	12 Jul →
inferno	16–14	0.03	19%	11 Jul →
ancient	10–0	0.12	9%	11 Jul →
dust2	13–6	0.03	16%	11 Jul →
cache	11–13	0.02	9%	11 Jul →
inferno	11–13	-0.01	14%	9 Jul →
anubis	9–13	-0.01	8%	9 Jul →
cache	13–11	0.11	12%	9 Jul →
anubis	6–13	-0.07	19%	6 Jul →
dust2	13–9	0.02	19%	6 Jul →
ancient	3–13	0.08	15%	6 Jul →
mirage	13–11	0.06	18%	6 Jul →
ancient	13–9	0.08	14%	2 Jul →
ancient	13–7	-0.00	23%	2 Jul →
mirage	13–7	0.08	22%	2 Jul →
dust2	7–13	-0.06	11%	2 Jul →
inferno	10–13	0.00	16%	1 Jul →
dust2	3–13	-0.04	3%	1 Jul →
ancient	3–13	-0.03	18%	1 Jul →
nuke	9–13	-0.05	19%	29 Jun →
ancient	9–13	-0.03	12%	29 Jun →
nuke	13–7	-0.02	11%	29 Jun →