TinyLF — CS2 Stats

76561198267345469[U:1:307079741]

1,265Tracked matches43%Win rate2020Tracked since

3,491Hours in CS25Hrs last 2 wks

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating14,664Blue band · top ~30.2% of ranked players (population est.)

CSDB Leaderboard#19923 of 31340 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median	Level 6 median	vs Level 6
Headshot rate	45.0%	44.2%	44.9%	meets
Shot accuracy	14.9%	11.2%	11.8%	above
Kill/death ratio	1.18	1.04	1.04	above
Match win rate	39.5%	45.3%	45.3%	5.7% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim73

Positioning63

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim7.3

Aggression8.4

Utility6.0

Positioning6.3

Opening Duels4.6

Clutch0.0

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 donk 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim7.3

Positioning6.3

Utility6.0

Mechanics7.6

Opening Duels4.6

Win Impact2.6

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time591ms−44ms

first ⅓ avg 635ms → last ⅓ avg 591ms

Headshot accuracy19.3%−0.5%

first ⅓ avg 19.7% → last ⅓ avg 19.3%

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

0.21Best rating — dust2 13–3

13–0Biggest win — dust2

5Longest win streak

L3Current streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 58% over 67ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	67	39–28	58%	0.02
ancient	D	10	3–7	30%	0.03
nuke	B	10	5–5	50%	0.05
cache	A	7	4–3	57%	0.01
mirage	—	4	1–3	25%	0.04
anubis	—	1	0–1	0%	0.00
inferno	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,547Lifetime kills

1.18K/D · Top 25% of Level 5 players

5,472Matches

39.5%Match win rate

45.0%Headshot % · Top 50% of Level 5 players

14.9%Shot accuracy · Top 50% of Level 5 players

11,086MVPs

1,885Hours (in match)

3,415Bombs planted

1,297Bombs defused

Most-used weapons

AK-4732,042

AWP21,921

M4A4 / M4A1-S15,933

Desert Eagle12,415

P2000 / USP-S6,179

Glock-184,273

SSG 084,198

FAMAS2,185

Galil AR2,139

MAC-101,664

Lifetime map wins

33,097dust2

1,534nuke

1,028inferno

1,027vertigo

219train

143lake

91cbble

49ar_shoots

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

Faceit stats

Combat

33Matches

48%Win rate

1.09Avg K/D

87.8ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	57%	1.19	15.1
Vertigo	7	57%	1.00	15.7
Anubis	5	40%	0.92	15.6
Dust2	2	0%	1.04	17.5
Nuke	2	100%	1.74	23.5
Inferno	2	0%	0.84	15.5
Ancient	1	0%	0.56	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.

18.5%Headshot accuracy

33.6%Accuracy (enemy spotted)

36.2%Spray accuracy

84.4%Counter-strafing

9.2°Preaim

589msReaction time

40.5%T opening success

56.6%CT opening success

0.68Enemies flashed / flash

10.6%Flash assists

10.67HE damage / grenade

4.93Flashes / match

Recommended for you

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.

30% win rate across 10 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
dust2	7–13	0.02	14%	29 Aug →
ancient	9–13	0.00	9%	29 Aug →
dust2	11–13	-0.02	15%	29 Aug →
nuke	13–4	0.16	17%	29 Aug →
dust2	13–4	0.06	13%	29 Aug →
nuke	13–11	0.08	22%	29 Aug →
nuke	13–4	-0.02	25%	26 Aug →
dust2	13–5	0.09	23%	26 Aug →
dust2	8–13	-0.00	13%	26 Aug →
ancient	13–6	0.20	22%	22 Aug →
cache	13–11	-0.01	16%	22 Aug →
nuke	13–6	0.09	24%	22 Aug →
dust2	13–7	0.04	28%	20 Aug →
dust2	13–9	0.12	18%	19 Aug →
nuke	0–2	-0.06	33%	19 Aug →
nuke	10–13	0.17	21%	19 Aug →
ancient	8–13	-0.04	21%	19 Aug →
cache	2–13	-0.07	19%	19 Aug →
dust2	8–13	-0.01	13%	18 Aug →
dust2	12–12	0.04	27%	17 Aug →
mirage	2–13	0.05	13%	17 Aug →
dust2	11–13	0.07	32%	17 Aug →
nuke	5–13	0.06	27%	16 Aug →
ancient	11–13	-0.01	17%	16 Aug →
anubis	8–13	0.00	17%	16 Aug →
ancient	13–9	0.03	10%	16 Aug →
cache	5–13	-0.02	14%	16 Aug →
mirage	8–13	0.05	3%	16 Aug →
dust2	13–8	0.04	20%	16 Aug →
dust2	12–12	0.02	22%	16 Aug →
dust2	13–5	0.10	20%	15 Aug →
dust2	8–13	0.02	26%	15 Aug →
dust2	13–8	-0.05	23%	15 Aug →
ancient	13–3	0.15	30%	15 Aug →
dust2	10–13	-0.00	24%	15 Aug →
dust2	16–13	0.05	31%	14 Aug →
dust2	13–9	0.05	22%	14 Aug →
nuke	13–9	-0.02	30%	14 Aug →
ancient	11–13	0.01	19%	12 Aug →
dust2	13–9	0.03	16%	11 Aug →
dust2	13–7	-0.02	24%	9 Aug →
ancient	10–13	-0.00	11%	8 Aug →
mirage	13–8	0.07	29%	8 Aug →
dust2	13–9	0.01	21%	8 Aug →
dust2	13–0	0.01	14%	8 Aug →
dust2	2–13	-0.06	9%	8 Aug →
dust2	13–8	0.01	25%	8 Aug →
dust2	12–12	-0.02	7%	5 Aug →
dust2	10–13	-0.04	16%	4 Aug →
dust2	13–3	0.02	16%	3 Aug →
nuke	9–13	0.05	20%	2 Aug →
ancient	5–13	-0.07	8%	2 Aug →
dust2	13–7	0.01	12%	2 Aug →
dust2	13–6	0.00	22%	2 Aug →
dust2	12–12	0.03	17%	1 Aug →
dust2	13–7	-0.03	11%	1 Aug →
dust2	10–13	0.00	26%	31 Jul →
dust2	2–13	-0.02	23%	31 Jul →
dust2	13–8	0.04	26%	31 Jul →
ancient	8–13	0.02	12%	30 Jul →
dust2	13–4	0.06	40%	30 Jul →
cache	5–13	-0.04	13%	30 Jul →
dust2	12–12	-0.05	12%	29 Jul →
inferno	14–16	-0.05	15%	28 Jul →
dust2	13–10	0.02	29%	27 Jul →
dust2	3–13	0.00	23%	26 Jul →
dust2	1–13	-0.04	35%	26 Jul →
dust2	13–4	0.02	27%	25 Jul →
dust2	5–13	-0.01	14%	25 Jul →
dust2	13–4	-0.02	15%	25 Jul →
dust2	13–6	0.04	19%	25 Jul →
dust2	13–7	0.03	17%	24 Jul →
dust2	10–13	-0.06	26%	24 Jul →
dust2	13–9	0.05	21%	23 Jul →
dust2	12–12	0.13	14%	23 Jul →
dust2	13–3	0.21	31%	23 Jul →
cache	13–10	0.05	20%	22 Jul →
cache	13–2	0.10	23%	22 Jul →
dust2	13–8	0.06	26%	22 Jul →
dust2	10–13	0.01	14%	22 Jul →
dust2	9–13	-0.02	24%	21 Jul →
dust2	8–2	0.01	8%	20 Jul →
dust2	3–13	-0.03	24%	20 Jul →
dust2	13–4	0.08	20%	20 Jul →
dust2	10–13	0.01	12%	17 Jul →
dust2	2–2	-0.07	0%	17 Jul →
dust2	10–13	0.01	27%	17 Jul →
nuke	7–13	-0.00	22%	16 Jul →
cache	13–6	0.06	18%	16 Jul →
dust2	13–11	0.03	18%	15 Jul →
mirage	8–13	-0.00	13%	12 Jul →
dust2	13–7	0.04	23%	12 Jul →
dust2	13–6	0.05	27%	12 Jul →
dust2	13–11	0.04	15%	12 Jul →
dust2	11–13	-0.02	30%	11 Jul →
dust2	9–13	0.03	14%	11 Jul →
dust2	13–1	0.13	17%	11 Jul →
dust2	13–7	-0.00	24%	9 Jul →
dust2	13–11	0.09	19%	6 Jul →
dust2	13–9	0.04	30%	6 Jul →