shackleford — CS2 Stats

HU76561199169997681[U:1:1209731953]Steam profile ↗✓ No bans

1,054Tracked matches48%Win rate2021Tracked since

1,591Hours in CS50Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim67

Positioning52

Utility32

0–100 skill scores via Leetify.

Recent form

COLD43–46–11Last 10043%Win rateTLWLLTLLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression6.2

Utility3.2

Positioning5.2

Opening Duels2.4

Strong CT-side opener

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 85% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim6.7

Positioning5.2

Utility3.2

Mechanics7.1

Opening Duels2.8

Win Impact4.4

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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time603ms−68ms

first ⅓ avg 671ms → last ⅓ avg 603ms

Headshot accuracy18.4%+0.5%

first ⅓ avg 18.0% → last ⅓ avg 18.4%

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

0.12Best rating — dust2 13–0

13–0Biggest win — dust2

5Longest win streak

Map breakdown

mirageBest map · 50% over 26infernoWeakest map · 38% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	44	18–26	41%	-0.00
mirage	B	26	13–13	50%	-0.00
inferno	C	24	9–15	38%	-0.00
cache	—	3	2–1	67%	-0.03
ancient	—	1	0–1	0%	-0.04
office	—	1	1–0	100%	0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,361Lifetime kills

1.49K/D · Top 5% of tracked players

1,709Matches

46.1%Match win rate · Top 50% of tracked players

46.6%Headshot % · Top 50% of tracked players

6.0%Shot accuracy

6,248MVPs

875Hours (in match)

1,682Bombs planted

690Bombs defused

Most-used weapons

AK-4712,244

M4A4 / M4A1-S6,550

AWP4,973

Galil AR2,686

P2000 / USP-S2,678

Glock-182,097

FAMAS1,875

Desert Eagle1,525

MP91,409

P250958

Lifetime map wins

6,997dust2

1,622inferno

639train

231office

151nuke

33vertigo

10italy

2cbble

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.

18.2%Headshot accuracy

35.0%Accuracy (enemy spotted)

31.9%Spray accuracy

82.1%Counter-strafing

9.9°Preaim

604msReaction time

27.1%T opening success

52.3%CT opening success

0.36Enemies flashed / flash

3.2%Flash assists

4.68HE damage / grenade

6.91Flashes / 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.

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 0.3557 — 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 27.1372% — 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.

38% win rate across 24 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	12–12	-0.03	13%	29 Aug →
inferno	1–13	-0.04	7%	29 Aug →
dust2	13–9	-0.05	18%	29 Aug →
mirage	6–13	0.01	21%	29 Aug →
ancient	1–13	-0.04	11%	29 Aug →
dust2	12–12	-0.03	17%	28 Aug →
dust2	7–13	0.03	16%	28 Aug →
dust2	8–13	0.06	21%	28 Aug →
cache	13–5	0.05	11%	28 Aug →
mirage	1–9	-0.11	33%	26 Aug →
dust2	9–13	0.01	22%	26 Aug →
dust2	4–13	-0.05	22%	26 Aug →
dust2	10–13	-0.03	22%	25 Aug →
dust2	13–10	0.02	19%	25 Aug →
inferno	12–12	0.03	20%	25 Aug →
dust2	13–6	0.01	16%	25 Aug →
dust2	2–13	-0.05	35%	24 Aug →
inferno	13–9	-0.00	19%	24 Aug →
dust2	3–13	-0.06	24%	24 Aug →
dust2	13–7	0.01	18%	24 Aug →
inferno	8–13	-0.05	20%	24 Aug →
inferno	4–13	-0.10	0%	24 Aug →
mirage	13–4	0.05	18%	23 Aug →
dust2	13–11	-0.01	17%	23 Aug →
inferno	8–13	-0.04	23%	22 Aug →
inferno	13–2	0.07	18%	22 Aug →
mirage	13–11	0.03	22%	22 Aug →
dust2	13–10	0.04	22%	22 Aug →
inferno	13–9	0.00	18%	22 Aug →
dust2	13–5	-0.03	10%	22 Aug →
dust2	9–13	-0.01	18%	21 Aug →
dust2	2–13	-0.05	12%	21 Aug →
dust2	13–10	0.04	25%	21 Aug →
dust2	12–12	0.01	30%	21 Aug →
mirage	13–5	-0.01	14%	20 Aug →
mirage	13–4	0.01	15%	20 Aug →
inferno	5–13	-0.05	11%	20 Aug →
inferno	13–7	-0.01	16%	20 Aug →
dust2	13–6	-0.02	30%	20 Aug →
inferno	10–13	0.01	19%	20 Aug →
inferno	3–13	-0.05	15%	19 Aug →
dust2	10–13	-0.04	17%	19 Aug →
cache	8–13	-0.08	12%	19 Aug →
dust2	12–12	0.01	26%	19 Aug →
mirage	10–13	-0.06	24%	19 Aug →
dust2	1–13	-0.06	21%	18 Aug →
mirage	12–12	-0.05	15%	17 Aug →
inferno	12–12	0.05	19%	17 Aug →
cache	4–3	-0.06	50%	17 Aug →
dust2	13–10	0.02	29%	17 Aug →
dust2	7–13	-0.01	23%	17 Aug →
mirage	3–13	0.00	12%	17 Aug →
mirage	13–10	-0.03	24%	17 Aug →
dust2	10–13	0.02	17%	17 Aug →
dust2	7–13	-0.05	18%	17 Aug →
mirage	10–13	-0.02	11%	16 Aug →
dust2	13–5	-0.01	28%	16 Aug →
inferno	12–12	-0.05	28%	15 Aug →
inferno	13–4	0.06	17%	15 Aug →
dust2	12–12	0.02	21%	15 Aug →
dust2	13–3	0.03	17%	14 Aug →
dust2	7–13	-0.01	21%	14 Aug →
dust2	13–0	0.12	15%	14 Aug →
mirage	13–8	-0.02	16%	14 Aug →
inferno	9–13	0.02	24%	14 Aug →
inferno	13–10	0.07	16%	14 Aug →
dust2	8–13	0.01	13%	13 Aug →
dust2	1–13	-0.07	23%	13 Aug →
inferno	5–13	-0.11	7%	13 Aug →
office	13–8	0.03	20%	12 Aug →
inferno	13–5	0.06	31%	12 Aug →
dust2	8–13	-0.01	19%	11 Aug →
mirage	13–9	0.10	19%	11 Aug →
mirage	7–13	-0.05	11%	8 Aug →
dust2	13–3	0.02	24%	8 Aug →
dust2	6–13	-0.03	17%	8 Aug →
inferno	13–6	-0.01	22%	7 Aug →
mirage	13–7	0.07	20%	4 Aug →
mirage	13–8	0.06	25%	4 Aug →
inferno	9–13	0.03	20%	4 Aug →
mirage	13–5	0.11	22%	3 Aug →
inferno	7–13	-0.05	15%	3 Aug →
dust2	2–13	-0.07	13%	3 Aug →
dust2	3–13	-0.03	13%	3 Aug →
mirage	13–1	0.04	12%	3 Aug →
train	5–13	-0.03	26%	1 Aug →
mirage	5–13	-0.06	0%	1 Aug →
dust2	13–1	0.04	29%	1 Aug →
mirage	12–12	0.00	21%	1 Aug →
mirage	12–12	-0.02	18%	31 Jul →
mirage	10–0	0.01	15%	31 Jul →
mirage	10–13	-0.01	17%	31 Jul →
dust2	3–13	-0.00	19%	28 Jul →
mirage	13–11	-0.01	14%	28 Jul →
inferno	7–13	0.05	19%	28 Jul →
dust2	13–10	0.05	21%	27 Jul →
mirage	2–13	-0.09	10%	27 Jul →
dust2	13–3	-0.02	22%	27 Jul →
dust2	13–4	0.04	10%	27 Jul →
inferno	13–9	0.06	18%	22 Jul →