tuctan — CS2 Stats

76561198842943601[U:1:882677873]

416Tracked matches40%Win rate2020Tracked since

1,318Hours in CS23Hrs last 2 wks

CSDB Rating4.5 DevelopingPassive Rifler

FaceitLevel 8 · 1,433 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning40

Utility46

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateLLWLLLLLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.4

Aggression1.9

Utility4.6

Positioning4.0

Opening Duels0.0

Clutch3.8

Strong CT-side openerLimited 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 NiKo 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.4

Positioning4.0

Utility4.6

Mechanics6.7

Opening Duels1.2

Win Impact1.7

Composite 4.5/10 (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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time576ms−36ms

first ⅓ avg 612ms → last ⅓ avg 576ms

Headshot accuracy22.6%+0.4%

first ⅓ avg 22.2% → last ⅓ avg 22.6%

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 — vertigo 13–8

13–2Biggest win — inferno

5Longest win streak

L2Current streak

11–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 55% over 29infernoWeakest map · 30% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	-0.01
dust2	C	25	11–14	44%	0.01
inferno	D	20	6–14	30%	-0.01
nuke	B	11	5–6	45%	-0.03
ancient	—	4	0–4	0%	-0.02
anubis	—	3	1–2	33%	-0.06
overpass	—	3	1–2	33%	-0.00
vertigo	—	2	2–0	100%	0.10
cache	—	2	0–2	0%	-0.03
train	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,063Lifetime kills

0.93K/D

1,888Matches

41.8%Match win rate

57.7%Headshot % · Top 25% of tracked players

13.0%Shot accuracy · Top 50% of tracked players

5,094MVPs

2,106Hours (in match)

1,654Bombs planted

580Bombs defused

Most-used weapons

AK-4716,756

M4A4 / M4A1-S7,508

AWP6,711

Desert Eagle5,282

P2000 / USP-S4,677

Glock-181,854

MP91,546

Galil AR1,077

SSG 08973

FAMAS859

Lifetime map wins

8,071dust2

3,119inferno

868vertigo

690nuke

376train

266cbble

49lake

15office

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

Faceit stats

Combat

436Matches

51%Win rate

1.08Avg K/D

79.0ADR

54%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	86	52%	1.05	16.7
Dust2	76	53%	1.13	15.6
Inferno	58	47%	1.06	16.0
Nuke	30	50%	1.03	16.9
Anubis	27	44%	1.07	16.3
Ancient	15	40%	0.99	16.1
Vertigo	13	62%	1.00	15.9
Overpass	7	71%	1.49	22.0

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.

22.8%Headshot accuracy

32.5%Accuracy (enemy spotted)

39.6%Spray accuracy

80.3%Counter-strafing

10.0°Preaim

581msReaction time

19.2%T opening success

39.8%CT opening success

0.45Enemies flashed / flash

7.8%Flash assists

10.66HE damage / grenade

4.71Flashes / 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 0.4463 — 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 19.1996% — 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.

30% win rate across 20 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
dust2	7–13	0.03	37%	28 Aug →
anubis	3–13	-0.06	20%	20 Aug →
dust2	13–11	0.05	13%	16 Aug →
nuke	13–16	-0.03	32%	15 Aug →
anubis	6–13	-0.06	20%	15 Aug →
inferno	3–13	0.01	27%	5 Aug →
dust2	9–13	0.03	26%	3 Aug →
mirage	11–13	-0.07	31%	3 Aug →
vertigo	13–3	0.06	27%	3 Aug →
mirage	22–20	0.02	18%	2 Aug →
dust2	11–13	0.04	16%	31 Jul →
vertigo	13–8	0.13	27%	30 Jul →
dust2	16–14	0.05	21%	29 Jul →
dust2	3–13	-0.06	13%	29 Jul →
dust2	13–5	0.06	20%	27 Jul →
dust2	10–13	-0.04	26%	25 Jul →
nuke	4–9	-0.12	10%	25 Jul →
ancient	10–13	0.02	22%	24 Jul →
mirage	6–13	-0.04	24%	23 Jul →
ancient	4–13	-0.05	38%	22 Jul →
inferno	4–13	-0.06	17%	22 Jul →
mirage	13–6	-0.01	46%	20 Jul →
inferno	13–11	0.01	17%	20 Jul →
dust2	13–10	0.02	20%	19 Jul →
overpass	5–9	-0.01	17%	18 Jul →
mirage	22–18	-0.01	13%	16 Jul →
mirage	10–13	-0.03	25%	15 Jul →
mirage	13–10	0.03	18%	15 Jul →
dust2	7–13	0.01	41%	14 Jul →
inferno	3–13	-0.03	13%	13 Jul →
inferno	13–8	0.03	12%	13 Jul →
ancient	7–13	-0.01	20%	12 Jul →
inferno	8–13	-0.08	23%	12 Jul →
inferno	14–16	0.01	17%	12 Jul →
dust2	13–4	0.09	30%	12 Jul →
inferno	11–13	0.02	25%	12 Jul →
mirage	12–16	-0.02	10%	11 Jul →
inferno	4–13	-0.06	12%	11 Jul →
dust2	8–13	0.01	16%	11 Jul →
inferno	13–11	0.01	19%	11 Jul →
dust2	11–13	-0.02	10%	11 Jul →
dust2	10–13	-0.05	45%	9 Jul →
cache	10–13	-0.06	32%	9 Jul →
mirage	13–9	-0.01	25%	9 Jul →
anubis	13–9	-0.06	13%	9 Jul →
dust2	13–5	0.07	25%	9 Jul →
dust2	13–6	-0.02	40%	8 Jul →
nuke	7–13	-0.03	29%	8 Jul →
mirage	13–10	0.00	35%	8 Jul →
mirage	13–8	0.04	24%	8 Jul →
ancient	9–13	-0.02	13%	7 Jul →
mirage	13–11	0.03	19%	7 Jul →
mirage	9–13	-0.02	18%	7 Jul →
nuke	8–13	-0.04	21%	7 Jul →
mirage	16–13	0.05	19%	6 Jul →
inferno	4–13	-0.11	32%	6 Jul →
mirage	16–12	0.02	14%	6 Jul →
cache	10–13	0.01	14%	6 Jul →
dust2	16–13	-0.03	20%	6 Jul →
mirage	11–13	-0.04	29%	3 Jul →
overpass	16–19	-0.03	27%	3 Jul →
mirage	13–10	-0.03	17%	2 Jul →
mirage	10–13	-0.04	20%	2 Jul →
nuke	10–13	-0.01	37%	2 Jul →
inferno	13–2	0.01	26%	2 Jul →
dust2	6–13	-0.09	13%	2 Jul →
mirage	10–13	-0.02	20%	1 Jul →
inferno	11–13	0.01	18%	1 Jul →
inferno	9–13	-0.06	27%	26 Jun →
mirage	16–13	-0.01	16%	26 Jun →
dust2	5–13	-0.05	19%	25 Jun →
nuke	13–10	0.02	18%	25 Jun →
mirage	13–2	0.08	20%	25 Jun →
inferno	8–13	0.01	24%	24 Jun →
mirage	13–11	-0.02	16%	24 Jun →
dust2	13–4	0.06	18%	24 Jun →
inferno	13–5	0.01	20%	23 Jun →
overpass	13–7	0.04	35%	17 Jun →
nuke	19–15	-0.02	24%	15 Jun →
mirage	8–13	-0.07	16%	15 Jun →
nuke	13–7	-0.02	29%	14 Jun →
inferno	4–13	-0.01	21%	2 Jun →
nuke	6–13	-0.01	16%	28 May →
dust2	11–13	-0.04	23%	28 May →
inferno	19–17	0.01	18%	13 May →
dust2	13–4	0.09	25%	11 May →
inferno	9–13	0.06	23%	29 Apr →
dust2	13–11	0.01	25%	15 Apr →
nuke	13–9	-0.07	16%	30 Nov →
mirage	8–13	-0.05	30%	31 Oct →
train	7–13	0.04	29%	26 Oct →
nuke	13–11	-0.05	14%	26 Oct →
dust2	11–13	-0.03	20%	26 Oct →
mirage	11–13	-0.01	22%	26 Oct →
dust2	11–13	0.01	24%	25 Oct →
mirage	6–13	-0.04	38%	25 Oct →
mirage	9–13	-0.04	18%	25 Oct →
inferno	6–13	-0.04	22%	18 Oct →
mirage	13–8	0.01	23%	11 Oct →
mirage	13–11	0.09	28%	4 Oct →