BOT Frank — CS2 Stats

76561198095402804[U:1:135137076]✓ No bans

3,147Tracked matches45%Win rate2020Tracked since

11,312Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,378Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1066 of 11626 tracked

FaceitLevel 9 · 2,294 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median	vs Level 10
Headshot rate	60.7%	52.8%	above
Shot accuracy	14.3%	13.7%	above
Kill/death ratio	1.52	1.08	above
Match win rate	44.5%	49.2%	4.7% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning62

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLWWWLLLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.5

Aggression9.3

Utility6.4

Positioning6.2

Opening Duels4.3

Clutch4.4

Sharp aimerStrong CT-side opener

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 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning6.2

Utility6.4

Mechanics6.1

Opening Duels4.3

Win Impact3.3

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time518ms−58ms

first ⅓ avg 576ms → last ⅓ avg 518ms

Headshot accuracy23.4%−1.9%

first ⅓ avg 25.3% → last ⅓ avg 23.4%

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

0.22Best rating — cache 13–0

13–0Biggest win — cache

7Longest win streak

L2Current streak

12–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 74% over 19ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	19	9–10	47%	0.02
mirage	S	19	14–5	74%	0.03
anubis	B	19	10–9	53%	0.02
dust2	B	17	9–8	53%	0.01
cache	B	17	9–8	53%	0.02
ancient	D	5	1–4	20%	0.02
nuke	—	4	2–2	50%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

451,771Lifetime kills

1.52K/D · Top 5% of tracked players

12,296Matches

44.5%Match win rate

60.7%Headshot % · Top 10% of tracked players

14.3%Shot accuracy · Top 50% of tracked players

50,121MVPs

11,312Hours (in match)

12,171Bombs planted

10,206Bombs defused

Most-used weapons

AK-47209,832

M4A4 / M4A1-S68,073

AWP60,305

Desert Eagle29,085

P2000 / USP-S26,031

Glock-1813,685

P2508,505

FAMAS4,793

Galil AR4,544

Tec-94,229

Lifetime map wins

25,603dust2

24,254inferno

8,352nuke

7,839vertigo

7,660train

3,755cbble

117office

101italy

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

Faceit stats

Combat

2,057Matches

53%Win rate

1.22Avg K/D

82.4ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	302	55%	1.25	17.7
Ancient	176	53%	1.18	17.1
Anubis	174	55%	1.23	17.0
Inferno	126	49%	1.28	18.6
Dust2	121	53%	1.21	16.9
Vertigo	61	52%	1.39	18.7
Nuke	51	45%	1.10	16.3
Overpass	13	46%	1.14	16.3

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.

23.4%Headshot accuracy

38.9%Accuracy (enemy spotted)

38.3%Spray accuracy

77.4%Counter-strafing

9.3°Preaim

536msReaction time

37.7%T opening success

56.5%CT opening success

0.67Enemies flashed / flash

10.3%Flash assists

7.68HE damage / grenade

15.45Flashes / 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 37.7322% — below the 40% mark we flag

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.

20% win rate across 5 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	2–13	-0.11	26%	27 Aug →
inferno	11–13	0.02	17%	27 Aug →
nuke	13–8	0.04	35%	27 Aug →
dust2	13–5	0.03	44%	27 Aug →
inferno	13–6	0.05	16%	27 Aug →
cache	9–13	0.02	21%	27 Aug →
cache	9–13	0.02	11%	26 Aug →
inferno	7–13	-0.05	21%	25 Aug →
dust2	0–3	-0.06	0%	25 Aug →
mirage	13–3	0.07	33%	25 Aug →
inferno	15–15	0.07	16%	24 Aug →
anubis	5–13	-0.02	17%	23 Aug →
dust2	13–7	0.10	37%	23 Aug →
inferno	7–13	0.04	21%	23 Aug →
mirage	6–13	-0.04	21%	23 Aug →
mirage	13–9	0.07	29%	22 Aug →
mirage	6–13	-0.05	10%	21 Aug →
mirage	13–11	0.03	17%	21 Aug →
ancient	5–13	0.08	35%	19 Aug →
dust2	13–11	0.04	24%	19 Aug →
anubis	16–14	0.08	26%	19 Aug →
dust2	13–11	0.09	22%	19 Aug →
inferno	8–13	-0.00	29%	17 Aug →
dust2	13–9	0.05	35%	17 Aug →
nuke	11–13	0.04	22%	16 Aug →
cache	16–13	0.10	28%	16 Aug →
cache	13–0	0.22	35%	16 Aug →
ancient	8–13	0.03	17%	16 Aug →
anubis	2–13	-0.02	17%	16 Aug →
cache	7–13	-0.02	10%	16 Aug →
anubis	13–3	0.01	27%	15 Aug →
mirage	13–10	0.01	31%	15 Aug →
dust2	11–13	-0.01	23%	15 Aug →
inferno	13–9	0.05	33%	15 Aug →
cache	16–14	0.01	22%	15 Aug →
inferno	13–11	0.05	17%	13 Aug →
inferno	13–7	0.07	78%	13 Aug →
anubis	13–4	-0.04	16%	11 Aug →
mirage	13–4	0.11	33%	10 Aug →
cache	13–7	0.01	27%	10 Aug →
inferno	11–13	0.08	38%	10 Aug →
ancient	9–13	-0.08	21%	10 Aug →
mirage	13–0	0.05	16%	10 Aug →
mirage	10–13	-0.02	17%	10 Aug →
dust2	13–10	-0.03	13%	10 Aug →
anubis	12–16	0.05	21%	9 Aug →
ancient	13–6	0.09	33%	9 Aug →
inferno	6–13	-0.03	27%	8 Aug →
cache	13–6	-0.02	20%	8 Aug →
anubis	11–13	0.01	29%	8 Aug →
anubis	7–13	-0.05	9%	8 Aug →
anubis	16–14	-0.01	29%	7 Aug →
dust2	13–10	0.06	27%	7 Aug →
anubis	13–9	0.09	29%	7 Aug →
mirage	13–8	-0.01	28%	6 Aug →
inferno	14–16	-0.03	24%	6 Aug →
inferno	13–5	0.09	28%	6 Aug →
ancient	8–13	-0.00	23%	3 Aug →
mirage	10–13	0.04	32%	3 Aug →
dust2	7–13	-0.05	15%	3 Aug →
mirage	13–8	0.08	32%	3 Aug →
anubis	6–13	-0.06	25%	3 Aug →
cache	6–13	0.02	26%	2 Aug →
inferno	13–11	-0.01	24%	2 Aug →
mirage	13–9	0.03	29%	2 Aug →
dust2	3–0	0.00	0%	2 Aug →
anubis	16–13	-0.01	21%	1 Aug →
inferno	20–22	-0.03	15%	1 Aug →
cache	12–16	0.03	19%	1 Aug →
inferno	11–13	-0.01	25%	1 Aug →
mirage	13–11	0.02	22%	1 Aug →
mirage	13–10	-0.04	24%	31 Jul →
mirage	13–5	0.10	15%	31 Jul →
mirage	8–13	0.04	21%	31 Jul →
cache	13–7	0.05	36%	31 Jul →
inferno	13–4	0.06	23%	30 Jul →
cache	0–13	-0.11	43%	29 Jul →
anubis	10–13	-0.02	11%	29 Jul →
cache	13–4	-0.02	19%	27 Jul →
cache	6–13	-0.05	33%	25 Jul →
mirage	13–11	0.01	22%	25 Jul →
nuke	13–6	0.03	29%	25 Jul →
inferno	13–10	0.02	30%	22 Jul →
anubis	4–13	0.03	28%	21 Jul →
dust2	9–13	-0.01	36%	21 Jul →
cache	7–13	0.02	22%	21 Jul →
cache	16–14	0.04	23%	20 Jul →
anubis	13–1	0.16	25%	20 Jul →
anubis	13–9	0.02	38%	19 Jul →
dust2	8–13	-0.03	31%	19 Jul →
cache	19–17	0.04	35%	16 Jul →
dust2	3–13	-0.02	31%	13 Jul →
anubis	13–9	0.01	21%	13 Jul →
mirage	13–5	-0.00	16%	13 Jul →
inferno	31–27	0.03	20%	6 Jul →
dust2	13–6	0.10	35%	6 Jul →
anubis	9–13	0.09	19%	5 Jul →
dust2	4–13	-0.01	17%	30 Jun →
anubis	13–10	0.02	27%	29 Jun →
nuke	10–13	-0.03	24%	27 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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