Tuugeboi — CS2 Stats

FI76561198048182109[U:1:87916381]Steam profile ↗✓ No bans

891Tracked matches40%Win rate2021Tracked since

2,314Hours in CS23Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating22,709Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#13495 of 58692 tracked

FaceitLevel 8 · 1,316 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 8 median	Level 9 median	vs Level 9
Headshot rate	48.1%	47.0%	48.4%	meets
Shot accuracy	13.9%	12.8%	13.2%	above
Kill/death ratio	1.24	1.07	1.08	above
Match win rate	42.7%	46.4%	47.0%	4.3% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning58

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLWLWLWWWL

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

Player DNA

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

Aim7.9

Aggression6.7

Utility6.1

Positioning5.8

Opening Duels2.0

Clutch4.2

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 b1t 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 623ms 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

Aim7.9

Positioning5.8

Utility6.1

Mechanics8.4

Opening Duels2.0

Win Impact1.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time622ms+19ms

first ⅓ avg 603ms → last ⅓ avg 622ms

Headshot accuracy25.5%+3.1%

first ⅓ avg 22.4% → last ⅓ avg 25.5%

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

0.20Best rating — inferno 16–14

13–1Biggest win — nuke

7Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 65% over 17anubisWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	18	9–9	50%	-0.00
nuke	S	17	11–6	65%	0.01
anubis	C	14	6–8	43%	-0.00
dust2	A	13	8–5	62%	0.01
inferno	A	12	7–5	58%	0.04
mirage	B	12	6–6	50%	-0.00
cache	A	9	5–4	56%	0.04
overpass	—	2	0–2	0%	-0.04
vertigo	—	2	1–1	50%	0.04
train	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,454Lifetime kills

1.24K/D · Top 25% of Level 8 players

3,079Matches

42.7%Match win rate

48.1%Headshot % · Top 50% of Level 8 players

13.9%Shot accuracy · Top 50% of Level 8 players

6,707MVPs

7,976Hours (in match)

3,797Bombs planted

769Bombs defused

Most-used weapons

AK-4724,588

M4A4 / M4A1-S12,387

AWP8,384

P2000 / USP-S6,383

Desert Eagle4,179

Glock-182,794

P2502,377

UMP-451,993

Tec-91,584

Galil AR1,571

Lifetime map wins

5,745dust2

3,465inferno

1,983nuke

991cbble

615train

460vertigo

174office

59lake

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

Faceit stats

Combat

322Matches

53%Win rate

1.24Avg K/D

81.5ADR

54%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	71	56%	1.24	16.6
Ancient	48	50%	1.08	16.1
Dust2	46	50%	1.19	16.9
Overpass	42	57%	1.45	17.3
Inferno	41	61%	1.40	16.9
Nuke	31	55%	1.18	17.6
Cache	18	56%	1.19	17.8
Anubis	11	27%	1.04	16.1

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.

26.3%Headshot accuracy

33.1%Accuracy (enemy spotted)

39.3%Spray accuracy

88.0%Counter-strafing

10.4°Preaim

623msReaction time

38.5%T opening success

37.8%CT opening success

0.63Enemies flashed / flash

13.5%Flash assists

7.19HE damage / grenade

12.56Flashes / 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
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 38.4882% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.04	17%	27 Aug →
dust2	6–13	0.07	30%	26 Aug →
inferno	13–6	0.05	24%	26 Aug →
mirage	10–13	-0.03	44%	25 Aug →
dust2	13–8	0.01	29%	23 Aug →
mirage	4–13	-0.05	38%	23 Aug →
anubis	13–8	0.07	32%	21 Aug →
anubis	13–2	0.11	24%	21 Aug →
train	13–4	0.13	31%	21 Aug →
nuke	9–13	-0.06	20%	13 Aug →
anubis	2–13	-0.04	18%	10 Aug →
inferno	7–13	-0.02	17%	10 Aug →
cache	13–8	0.03	24%	9 Aug →
cache	11–13	0.00	24%	9 Aug →
anubis	5–13	0.03	31%	9 Aug →
ancient	10–13	-0.01	17%	30 Jul →
ancient	9–13	-0.01	26%	30 Jul →
nuke	16–14	-0.02	46%	30 Jul →
mirage	11–13	-0.03	29%	30 Jul →
cache	10–13	0.16	35%	23 Jul →
nuke	13–8	0.00	31%	23 Jul →
overpass	1–13	-0.01	37%	23 Jul →
mirage	13–4	0.00	16%	23 Jul →
anubis	13–8	0.03	15%	23 Jul →
inferno	8–13	0.01	11%	23 Jul →
vertigo	3–13	0.04	30%	23 Jul →
mirage	6–13	-0.09	30%	21 Jul →
cache	13–3	0.05	14%	21 Jul →
inferno	8–13	-0.01	11%	21 Jul →
cache	13–7	0.03	29%	21 Jul →
mirage	13–5	0.12	23%	21 Jul →
vertigo	13–5	0.05	24%	21 Jul →
anubis	12–12	0.09	14%	21 Jul →
nuke	8–13	-0.01	16%	20 Jul →
nuke	3–13	-0.06	25%	20 Jul →
ancient	13–7	0.14	19%	20 Jul →
nuke	13–4	0.02	16%	20 Jul →
inferno	13–6	0.07	30%	20 Jul →
dust2	13–2	0.02	47%	17 Jul →
dust2	10–13	-0.01	18%	17 Jul →
cache	6–1	0.02	47%	17 Jul →
mirage	13–4	-0.02	24%	17 Jul →
cache	10–13	-0.06	14%	17 Jul →
ancient	13–9	-0.01	20%	17 Jul →
dust2	13–6	-0.03	8%	17 Jul →
dust2	13–8	0.04	34%	13 Jul →
anubis	13–4	0.05	22%	13 Jul →
anubis	6–13	-0.09	19%	12 Jul →
dust2	13–4	0.03	19%	12 Jul →
ancient	11–13	0.00	20%	12 Jul →
anubis	13–11	-0.02	25%	11 Jul →
nuke	16–12	-0.04	29%	11 Jul →
mirage	16–12	-0.03	16%	9 Jul →
inferno	13–11	0.04	28%	9 Jul →
dust2	8–13	-0.01	24%	9 Jul →
ancient	6–13	-0.07	18%	9 Jul →
cache	13–7	0.02	14%	9 Jul →
cache	8–13	0.07	28%	9 Jul →
nuke	13–3	-0.04	21%	9 Jul →
ancient	16–14	-0.02	21%	6 Jul →
nuke	20–22	-0.03	23%	6 Jul →
mirage	10–13	0.05	29%	6 Jul →
inferno	6–13	-0.02	26%	6 Jul →
anubis	9–13	-0.12	15%	6 Jul →
ancient	13–11	-0.00	16%	6 Jul →
inferno	13–9	0.04	19%	6 Jul →
anubis	2–13	-0.08	10%	5 Jul →
dust2	5–13	-0.06	18%	5 Jul →
ancient	6–13	0.01	28%	5 Jul →
inferno	13–9	-0.01	16%	5 Jul →
inferno	15–15	0.06	25%	4 Jul →
anubis	13–10	0.02	22%	4 Jul →
nuke	9–13	0.07	28%	4 Jul →
dust2	16–13	0.02	16%	4 Jul →
mirage	13–4	0.05	23%	3 Jul →
nuke	13–7	-0.01	28%	3 Jul →
ancient	13–6	0.03	10%	3 Jul →
ancient	13–6	-0.07	24%	3 Jul →
ancient	14–16	0.01	39%	2 Jul →
anubis	0–9	0.01	14%	2 Jul →
dust2	13–6	-0.03	27%	2 Jul →
overpass	0–3	-0.08	0%	2 Jul →
inferno	13–7	0.10	21%	2 Jul →
nuke	13–1	0.13	26%	2 Jul →
nuke	10–13	0.01	18%	1 Jul →
ancient	13–3	0.01	15%	1 Jul →
ancient	13–10	0.01	27%	29 Jun →
ancient	13–8	-0.01	14%	29 Jun →
dust2	13–3	-0.02	17%	29 Jun →
nuke	13–9	0.04	20%	29 Jun →
nuke	13–10	0.03	26%	29 Jun →
inferno	16–14	0.20	21%	28 Jun →
dust2	6–13	0.03	22%	28 Jun →
mirage	10–13	-0.02	34%	28 Jun →
nuke	13–1	0.11	23%	28 Jun →
ancient	3–13	-0.00	37%	28 Jun →
nuke	13–8	0.04	25%	28 Jun →
mirage	13–5	-0.01	33%	28 Jun →
ancient	3–13	0.01	31%	27 Jun →
anubis	6–13	-0.08	10%	27 Jun →