t6lik — CS2 Stats

76561199851519291[U:1:1891253563]Steam profile ↗✓ No bans

1,582Tracked matches62%Win rate2025Tracked since

1,612Hours in CS37Hrs last 2 wks

CSDB Rating5.3 Developing

Premier CS Rating17,463Purple band · top ~18.6% of ranked players (population est.)

CSDB Leaderboard#12265 of 22175 tracked

FaceitLevel 6 · 1,272 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median	Level 7 median	vs Level 7
Headshot rate	54.3%	44.9%	46.2%	above
Shot accuracy	0.1%	11.8%	12.5%	12.4% short
Kill/death ratio	1.23	1.04	1.06	above
Match win rate	49.8%	45.3%	45.9%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning41

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLLLWWLWWT

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

Player DNA

Aim5.9

Aggression4.5

Utility3.6

Positioning4.1

Opening Duels2.7

Clutch2.8

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 81% playstyle similarity

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

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

T-side openings. Opening success drops from 59% on CT to 22% 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

Aim5.9

Positioning4.1

Utility3.6

Mechanics6.1

Opening Duels3.7

Win Impact9.0

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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time588ms−32ms

first ⅓ avg 620ms → last ⅓ avg 588ms

Headshot accuracy15.6%−1.4%

first ⅓ avg 17.0% → last ⅓ avg 15.6%

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

0.17Best rating — dust2 13–5

13–1Biggest win — nuke

5Longest win streak

L4Current streak

3–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	0.01
dust2	B	19	10–9	53%	0.01
nuke	C	17	7–10	41%	0.01
ancient	B	14	7–7	50%	0.01
inferno	C	13	5–8	38%	-0.00
cache	C	5	2–3	40%	-0.02
anubis	A	5	3–2	60%	-0.01
train	—	2	1–1	50%	0.00
overpass	—	2	0–2	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,605Lifetime kills

1.23K/D · Top 25% of Level 6 players

1,910Matches

49.8%Match win rate · Top 25% of Level 6 players

54.3%Headshot % · Top 25% of Level 6 players

0.1%Shot accuracy

5,211MVPs

978Hours (in match)

1,961Bombs planted

876Bombs defused

Most-used weapons

AK-4722,902

M4A4 / M4A1-S6,039

AWP2,403

Desert Eagle2,295

P2000 / USP-S1,584

Glock-181,333

Galil AR1,199

MAC-10656

MP9567

FAMAS368

Lifetime map wins

3,467nuke

3,180dust2

2,348inferno

694vertigo

354train

75office

2ar_shoots

1assault

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

Faceit stats

Combat

88Matches

58%Win rate

1.04Avg K/D

75.7ADR

47%Headshot %

Clutches & streaks

34%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	63%	1.09	14.9
Dust2	17	35%	0.87	12.2
Inferno	12	58%	0.85	12.8
Ancient	11	55%	0.97	14.4
Nuke	11	73%	1.44	18.1
Overpass	5	80%	1.33	17.6
Anubis	4	75%	0.84	15.3
Cache	1	0%	0.62	10.0

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.

14.9%Headshot accuracy

33.8%Accuracy (enemy spotted)

35.2%Spray accuracy

77.4%Counter-strafing

10.7°Preaim

581msReaction time

22.1%T opening success

59.5%CT opening success

0.49Enemies flashed / flash

5.6%Flash assists

1.91HE damage / grenade

6.09Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.9155% — below the 15% mark we flag
Aim Training →
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 0.4862 — 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 22.1485% — 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 13 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
cache	2–13	-0.06	17%	29 Aug →
mirage	11–13	-0.04	19%	29 Aug →
ancient	6–9	0.00	35%	28 Aug →
mirage	3–13	-0.02	12%	28 Aug →
inferno	13–3	0.13	14%	27 Aug →
inferno	13–8	0.07	20%	27 Aug →
mirage	11–13	0.03	14%	26 Aug →
cache	13–7	-0.03	24%	26 Aug →
anubis	13–10	-0.01	10%	26 Aug →
dust2	15–15	0.01	11%	26 Aug →
ancient	13–9	0.07	18%	26 Aug →
dust2	13–10	0.02	18%	25 Aug →
nuke	13–10	-0.01	10%	25 Aug →
mirage	13–4	0.03	13%	25 Aug →
anubis	9–13	-0.02	14%	25 Aug →
inferno	16–14	0.01	9%	23 Aug →
nuke	5–13	-0.06	0%	23 Aug →
ancient	2–13	-0.04	7%	21 Aug →
dust2	13–8	0.05	16%	21 Aug →
nuke	13–9	0.13	15%	21 Aug →
mirage	13–11	0.05	6%	21 Aug →
ancient	13–5	0.01	25%	20 Aug →
mirage	13–5	0.01	14%	20 Aug →
inferno	8–13	-0.00	21%	20 Aug →
mirage	13–9	0.04	14%	20 Aug →
nuke	13–6	-0.00	15%	19 Aug →
dust2	0–13	-0.07	36%	19 Aug →
anubis	13–10	-0.03	12%	19 Aug →
nuke	11–13	-0.01	13%	19 Aug →
mirage	13–8	0.00	14%	19 Aug →
dust2	7–13	-0.05	15%	18 Aug →
nuke	13–1	0.03	10%	18 Aug →
mirage	13–9	0.02	23%	18 Aug →
inferno	13–11	0.03	21%	17 Aug →
dust2	13–4	0.03	21%	17 Aug →
inferno	10–13	-0.04	22%	17 Aug →
train	11–13	0.02	26%	17 Aug →
mirage	10–13	0.08	16%	16 Aug →
cache	11–13	-0.03	7%	16 Aug →
dust2	13–9	0.01	24%	16 Aug →
nuke	6–13	-0.04	16%	16 Aug →
ancient	13–2	0.06	22%	16 Aug →
mirage	13–7	-0.04	9%	15 Aug →
dust2	13–9	-0.03	9%	14 Aug →
dust2	13–5	-0.03	20%	14 Aug →
nuke	11–13	-0.05	11%	14 Aug →
nuke	8–13	0.05	10%	12 Aug →
ancient	8–13	-0.04	3%	12 Aug →
mirage	13–9	-0.01	18%	12 Aug →
dust2	13–8	-0.00	33%	11 Aug →
cache	11–13	0.02	8%	11 Aug →
nuke	11–13	0.01	14%	11 Aug →
inferno	11–13	0.01	21%	11 Aug →
inferno	4–9	-0.13	21%	11 Aug →
ancient	13–5	0.08	16%	11 Aug →
dust2	7–13	0.01	13%	11 Aug →
nuke	2–13	-0.05	18%	11 Aug →
ancient	7–13	-0.02	14%	10 Aug →
inferno	4–9	-0.03	15%	10 Aug →
inferno	3–13	0.01	21%	5 Aug →
anubis	16–13	0.01	11%	5 Aug →
mirage	15–15	0.02	13%	5 Aug →
anubis	8–13	0.00	16%	5 Aug →
dust2	5–13	-0.00	15%	5 Aug →
ancient	2–13	-0.11	12%	4 Aug →
nuke	12–12	0.02	19%	4 Aug →
nuke	13–6	0.06	13%	4 Aug →
dust2	12–16	-0.04	20%	4 Aug →
mirage	13–8	0.01	4%	4 Aug →
nuke	13–2	0.02	14%	4 Aug →
mirage	4–13	-0.05	13%	4 Aug →
nuke	9–13	0.03	26%	4 Aug →
dust2	10–13	0.11	21%	3 Aug →
dust2	13–5	0.17	22%	3 Aug →
nuke	13–9	0.12	18%	3 Aug →
mirage	9–13	-0.05	11%	3 Aug →
dust2	14–16	0.06	13%	2 Aug →
ancient	13–6	-0.00	9%	2 Aug →
inferno	2–13	-0.04	19%	2 Aug →
nuke	12–12	-0.08	14%	2 Aug →
inferno	9–13	0.02	19%	2 Aug →
ancient	15–15	0.00	20%	1 Aug →
mirage	8–13	0.03	18%	1 Aug →
ancient	13–9	0.02	17%	31 Jul →
dust2	15–15	-0.05	12%	31 Jul →
train	13–6	-0.02	10%	31 Jul →
mirage	9–13	0.00	23%	31 Jul →
mirage	13–10	0.04	16%	31 Jul →
dust2	13–5	0.08	18%	31 Jul →
ancient	13–10	-0.01	11%	30 Jul →
mirage	4–13	-0.02	18%	30 Jul →
dust2	13–8	-0.03	16%	30 Jul →
cache	13–10	-0.00	19%	30 Jul →
ancient	12–12	0.05	19%	30 Jul →
mirage	13–1	0.08	20%	30 Jul →
mirage	4–7	0.00	15%	30 Jul →
mirage	13–1	-0.03	26%	29 Jul →
inferno	13–5	-0.04	13%	29 Jul →
overpass	5–13	0.00	18%	29 Jul →
overpass	4–11	0.06	33%	29 Jul →