BOT current — CS2 Stats

76561198050138811[U:1:89873083]Steam profile ↗

1,229Tracked matches53%Win rate2020Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating19,951Purple band · top ~8.7% of ranked players (population est.)

CSDB Leaderboard#21302 of 54256 tracked

FaceitLevel 8 · 1,692 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning41

Utility39

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateLWTWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim8.4

Aggression3.2

Utility3.9

Positioning4.1

Opening Duels0.0

Clutch3.0

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: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 555ms 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

Aim8.4

Positioning4.1

Utility3.9

Mechanics7.2

Opening Duels0.5

Win Impact6.1

Composite 5.7/10 (Solid), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time533ms−32ms

first ⅓ avg 565ms → last ⅓ avg 533ms

Headshot accuracy23.2%+0.4%

first ⅓ avg 22.8% → last ⅓ avg 23.2%

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

0.11Best rating — mirage 13–7

13–0Biggest win — anubis

6Longest win streak

10–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 80% over 10mirageWeakest map · 39% over 33

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	33	13–20	39%	-0.00
dust2	C	25	11–14	44%	-0.00
ancient	A	12	7–5	58%	-0.02
inferno	A	11	7–4	64%	-0.00
cache	S	10	8–2	80%	0.03
anubis	A	7	4–3	57%	0.00
nuke	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 33). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

673Matches

50%Win rate

1.02Avg K/D

72.6ADR

47%Headshot %

Clutches & streaks

35%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	199	53%	1.01	14.9
Ancient	123	60%	1.03	15.8
Dust2	110	48%	1.01	15.6
Anubis	85	39%	0.97	15.3
Inferno	59	44%	0.95	14.7
Nuke	22	45%	0.86	13.9
Vertigo	8	50%	1.30	15.1
Train	5	40%	0.75	11.6

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.

21.0%Headshot accuracy

38.1%Accuracy (enemy spotted)

48.3%Spray accuracy

82.2%Counter-strafing

11.3°Preaim

555msReaction time

25.1%T opening success

33.8%CT opening success

0.50Enemies flashed / flash

4.7%Flash assists

6.94HE damage / grenade

5.51Flashes / 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 0.4997 — 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 25.0968% — below the 40% mark we flag

Spend your practice time on Mirage

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

39% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.05	18%	27 Aug →
inferno	13–3	0.08	34%	26 Aug →
inferno	8–8	-0.00	33%	26 Aug →
inferno	9–6	0.01	17%	26 Aug →
mirage	13–9	0.02	34%	26 Aug →
inferno	13–5	-0.03	32%	26 Aug →
inferno	13–5	-0.02	30%	25 Aug →
anubis	13–7	-0.00	14%	25 Aug →
mirage	13–16	-0.02	24%	25 Aug →
dust2	2–0	0.04	50%	25 Aug →
mirage	13–7	0.06	38%	25 Aug →
inferno	4–13	-0.04	24%	25 Aug →
mirage	4–13	-0.01	23%	25 Aug →
dust2	8–13	0.02	23%	24 Aug →
dust2	13–11	-0.03	13%	21 Aug →
mirage	6–13	0.02	16%	20 Aug →
mirage	13–11	-0.01	13%	19 Aug →
dust2	9–13	-0.03	30%	19 Aug →
nuke	8–13	-0.03	19%	19 Aug →
anubis	13–2	0.04	21%	18 Aug →
inferno	9–3	0.08	54%	18 Aug →
mirage	13–4	-0.04	18%	17 Aug →
ancient	12–13	-0.05	11%	12 Aug →
mirage	9–13	-0.02	17%	11 Aug →
cache	13–5	0.04	12%	10 Aug →
ancient	13–11	0.01	22%	10 Aug →
inferno	9–13	-0.03	21%	10 Aug →
mirage	5–13	-0.14	4%	9 Aug →
cache	5–13	-0.01	18%	9 Aug →
dust2	13–10	-0.01	26%	9 Aug →
mirage	13–10	0.07	29%	9 Aug →
mirage	8–13	-0.04	11%	6 Aug →
ancient	13–11	-0.04	14%	6 Aug →
mirage	7–13	-0.04	11%	27 Jul →
dust2	7–13	0.03	24%	27 Jul →
dust2	0–13	-0.13	32%	27 Jul →
mirage	12–16	-0.01	20%	26 Jul →
mirage	8–13	-0.04	16%	26 Jul →
dust2	13–11	0.01	8%	26 Jul →
dust2	2–13	0.03	27%	26 Jul →
ancient	16–13	0.04	16%	24 Jul →
dust2	6–13	-0.01	14%	24 Jul →
dust2	13–5	-0.03	24%	24 Jul →
mirage	13–7	0.11	19%	24 Jul →
dust2	12–12	0.00	24%	24 Jul →
mirage	13–5	0.01	17%	21 Jul →
dust2	12–16	-0.01	23%	21 Jul →
mirage	13–6	0.01	27%	21 Jul →
ancient	13–7	0.02	19%	21 Jul →
dust2	14–16	-0.02	21%	21 Jul →
anubis	13–0	0.03	24%	21 Jul →
mirage	13–10	0.03	25%	21 Jul →
dust2	13–4	-0.00	31%	21 Jul →
cache	12–12	0.06	14%	8 Jul →
cache	13–8	-0.03	13%	8 Jul →
cache	13–1	0.01	64%	8 Jul →
cache	13–3	0.08	67%	8 Jul →
cache	13–2	0.02	63%	7 Jul →
cache	13–3	0.07	48%	7 Jul →
cache	13–2	0.02	25%	7 Jul →
mirage	15–15	-0.10	56%	6 Jul →
mirage	11–13	-0.03	33%	6 Jul →
dust2	7–13	0.01	41%	6 Jul →
mirage	13–4	0.02	13%	2 Jul →
anubis	10–13	-0.07	16%	30 Jun →
inferno	13–11	-0.03	0%	30 Jun →
mirage	5–9	0.09	14%	25 Jun →
nuke	22–19	-0.01	18%	15 Jun →
inferno	13–11	0.01	24%	11 Jun →
mirage	3–13	-0.05	22%	30 May →
anubis	13–16	-0.00	18%	10 May →
ancient	13–6	-0.03	16%	8 May →
ancient	13–9	0.03	14%	7 May →
dust2	13–11	-0.04	19%	30 Apr →
dust2	9–13	0.09	35%	27 Apr →
mirage	13–5	0.02	13%	27 Apr →
mirage	11–13	-0.05	31%	24 Apr →
mirage	13–9	-0.02	32%	24 Apr →
cache	13–8	0.07	26%	23 Apr →
dust2	16–13	0.01	25%	22 Apr →
mirage	13–10	0.07	19%	22 Apr →
anubis	7–13	0.02	16%	21 Apr →
dust2	13–8	0.05	19%	21 Apr →
ancient	7–13	-0.09	6%	21 Apr →
dust2	9–13	0.00	33%	20 Apr →
dust2	13–6	0.06	17%	18 Apr →
mirage	13–16	-0.01	40%	18 Apr →
mirage	9–13	-0.01	17%	17 Apr →
mirage	8–13	-0.03	27%	16 Apr →
mirage	9–13	0.07	21%	16 Apr →
inferno	7–13	-0.03	18%	16 Apr →
mirage	11–13	-0.03	21%	14 Apr →
ancient	17–19	-0.05	23%	13 Apr →
ancient	16–14	0.04	19%	13 Apr →
anubis	19–15	-0.00	22%	13 Apr →
mirage	8–13	0.06	34%	13 Apr →
dust2	8–13	-0.04	35%	13 Apr →
ancient	7–13	-0.03	33%	13 Apr →
ancient	10–13	-0.05	23%	13 Apr →
dust2	13–4	-0.03	15%	8 Apr →