Tyerone Biggums — CS2 Stats

76561199487159495[U:1:1526893767]Steam profile ↗✓ No bans

1,545Tracked matches54%Win rate2023Tracked since

1,583Hours in CS5Hrs last 2 wks

CSDB Rating5.4 DevelopingAggressive Rifler

FaceitLevel 5 · 1,061 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning63

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateTWLLTWLWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression9.2

Utility4.4

Positioning6.3

Opening Duels4.2

Clutch4.2

Limited utility dependence

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 device 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 556ms 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

Aim7.1

Positioning6.3

Utility4.4

Mechanics5.7

Opening Duels4.2

Win Impact6.2

Composite 5.4/10 (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 time547ms−43ms

first ⅓ avg 590ms → last ⅓ avg 547ms

Headshot accuracy20.4%+6.3%

first ⅓ avg 14.1% → last ⅓ avg 20.4%

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

0.13Best rating — inferno 9–6

13–2Biggest win — mirage

6Longest win streak

11–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	0.01
ancient	D	16	5–11	31%	0.01
nuke	C	16	6–10	38%	-0.00
inferno	A	14	8–6	57%	0.01
mirage	A	9	5–4	56%	-0.02
anubis	A	7	4–3	57%	-0.01
cache	S	6	4–2	67%	-0.01
overpass	A	5	3–2	60%	0.01
office	—	4	3–1	75%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,573Lifetime kills

0.93K/D

2,481Matches

40.3%Match win rate

43.2%Headshot %

0.0%Shot accuracy

4,722MVPs

898Hours (in match)

2,499Bombs planted

402Bombs defused

Most-used weapons

AK-4713,000

M4A4 / M4A1-S7,764

AWP3,923

Desert Eagle2,261

P902,163

Glock-181,580

P2000 / USP-S1,360

MAC-101,340

MP9937

XM1014879

Lifetime map wins

3,724dust2

3,369nuke

3,229inferno

1,731vertigo

482train

232office

31ar_shoots

29ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

173Matches

49%Win rate

1.11Avg K/D

83.5ADR

40%Headshot %

Clutches & streaks

41%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	43%	1.06	16.8
Inferno	28	46%	1.06	16.5
Nuke	23	52%	1.09	18.5
Ancient	22	59%	1.13	16.9
Dust2	22	55%	1.04	14.9
Vertigo	13	54%	1.71	18.9
Anubis	12	25%	0.84	15.3
Cache	5	40%	0.89	15.2

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.

20.8%Headshot accuracy

34.0%Accuracy (enemy spotted)

33.6%Spray accuracy

75.6%Counter-strafing

9.4°Preaim

556msReaction time

42.0%T opening success

51.5%CT opening success

0.57Enemies flashed / flash

14.6%Flash assists

5.52HE damage / grenade

3.44Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4399 — below the 4 mark we flag
Grenade Lineups →

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.

31% win rate across 16 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
ancient	15–15	-0.01	21%	23 Aug →
mirage	13–8	-0.05	19%	23 Aug →
ancient	11–13	0.01	24%	22 Aug →
mirage	6–13	-0.08	35%	22 Aug →
dust2	15–15	0.01	20%	19 Aug →
dust2	13–10	0.02	13%	15 Aug →
ancient	8–13	0.01	19%	13 Aug →
cache	13–10	-0.07	29%	10 Aug →
nuke	10–13	0.00	12%	8 Aug →
inferno	13–7	-0.01	29%	27 Jul →
inferno	13–8	0.03	24%	25 Jul →
cache	16–12	-0.01	17%	25 Jul →
cache	9–13	-0.04	11%	25 Jul →
dust2	6–13	-0.01	20%	25 Jul →
inferno	13–7	0.05	13%	21 Jul →
mirage	13–16	-0.06	19%	12 Jul →
ancient	11–13	-0.03	16%	11 Jul →
cache	13–8	0.04	21%	11 Jul →
nuke	6–13	-0.04	17%	11 Jul →
office	6–13	-0.00	40%	27 Jun →
nuke	10–13	-0.04	21%	27 Jun →
anubis	13–4	0.03	9%	21 Jun →
mirage	13–10	0.04	15%	21 Jun →
dust2	13–8	0.11	25%	20 Jun →
office	13–11	-0.05	22%	20 Jun →
office	13–5	0.06	62%	13 Jun →
dust2	13–11	0.11	17%	13 Jun →
anubis	10–13	-0.04	14%	13 Jun →
anubis	8–13	-0.03	17%	6 Jun →
inferno	13–3	0.06	16%	4 Jun →
dust2	13–11	0.05	18%	2 Jun →
dust2	6–13	-0.09	10%	31 May →
dust2	6–13	-0.09	11%	31 May →
dust2	13–6	0.04	15%	31 May →
overpass	13–5	0.07	24%	31 May →
cache	10–13	0.00	23%	28 May →
mirage	5–13	-0.03	18%	26 May →
anubis	13–11	0.04	10%	26 May →
ancient	3–13	-0.02	11%	24 May →
office	13–8	0.08	21%	24 May →
anubis	13–8	-0.03	22%	24 May →
nuke	13–11	0.01	10%	23 May →
overpass	10–13	0.00	18%	20 May →
dust2	11–13	-0.01	20%	16 May →
nuke	13–9	0.07	9%	16 May →
ancient	13–9	0.01	15%	16 May →
inferno	15–15	-0.00	17%	15 May →
cache	13–11	0.02	14%	14 May →
overpass	3–13	-0.06	16%	14 May →
nuke	7–13	-0.00	13%	14 May →
nuke	6–13	-0.04	21%	13 May →
dust2	13–6	-0.01	25%	7 May →
nuke	13–10	0.01	17%	4 May →
mirage	13–9	0.02	23%	4 May →
dust2	13–5	-0.02	18%	26 Apr →
ancient	5–13	-0.02	15%	25 Apr →
dust2	11–13	0.02	13%	25 Apr →
anubis	13–11	-0.01	8%	24 Apr →
inferno	13–5	0.00	19%	21 Apr →
ancient	13–9	0.07	19%	21 Apr →
inferno	4–13	-0.01	11%	20 Apr →
ancient	8–13	0.04	15%	20 Apr →
nuke	11–13	-0.02	15%	20 Apr →
dust2	1–13	-0.09	12%	20 Apr →
dust2	13–10	0.05	16%	20 Apr →
ancient	6–13	-0.04	14%	19 Apr →
dust2	13–11	0.05	17%	19 Apr →
nuke	13–11	0.02	14%	18 Apr →
ancient	8–13	-0.03	9%	18 Apr →
inferno	9–6	0.13	20%	17 Apr →
dust2	5–13	-0.05	14%	17 Apr →
dust2	13–11	0.06	6%	17 Apr →
mirage	13–2	0.02	18%	16 Apr →
ancient	13–5	0.05	17%	16 Apr →
nuke	13–10	0.01	23%	15 Apr →
ancient	11–13	0.08	6%	13 Apr →
overpass	13–4	0.02	13%	12 Apr →
anubis	9–13	-0.05	11%	11 Apr →
nuke	11–13	-0.02	15%	8 Apr →
inferno	9–13	-0.05	14%	6 Apr →
inferno	13–10	0.01	10%	5 Apr →
inferno	3–13	-0.01	8%	5 Apr →
dust2	13–5	-0.03	16%	4 Apr →
inferno	9–13	-0.03	10%	4 Apr →
ancient	13–5	0.07	19%	4 Apr →
ancient	13–7	-0.04	15%	3 Apr →
nuke	13–11	-0.05	11%	3 Apr →
nuke	11–13	-0.01	8%	3 Apr →
dust2	13–10	0.06	26%	3 Apr →
overpass	13–9	0.02	9%	3 Apr →
dust2	13–10	-0.02	11%	3 Apr →
nuke	15–15	0.02	16%	1 Apr →
dust2	6–13	-0.04	18%	1 Apr →
mirage	13–8	0.05	16%	1 Apr →
mirage	7–13	-0.06	12%	31 Mar →
inferno	9–4	-0.01	23%	31 Mar →
inferno	3–13	-0.02	26%	30 Mar →
nuke	7–13	-0.00	9%	30 Mar →
dust2	13–3	0.04	9%	30 Mar →
ancient	14–16	0.05	13%	30 Mar →