anner gank™ — CS2 Stats

76561198062970926[U:1:102705198]Steam profile ↗

512Tracked matches59%Win rate2021Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating19,666Purple band · top ~9.8% of ranked players (population est.)

CSDB Leaderboard#12415 of 28397 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning52

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateTWWLWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.2

Aggression7.2

Utility4.4

Positioning5.2

Opening Duels2.6

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 ropz 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 49% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim7.2

Positioning5.2

Utility4.4

Mechanics7.7

Opening Duels2.6

Win Impact7.9

Composite 6.1/10 (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-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time607ms−16ms

first ⅓ avg 624ms → last ⅓ avg 607ms

Headshot accuracy16.3%−1.9%

first ⅓ avg 18.2% → last ⅓ avg 16.3%

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

0.13Best rating — cache 13–3

13–1Biggest win — cache

6Longest win streak

12–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 64% over 11ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	21	12–9	57%	-0.01
mirage	A	16	9–7	56%	0.03
dust2	C	14	6–8	43%	0.02
inferno	B	13	7–6	54%	-0.03
nuke	A	11	7–4	64%	-0.00
anubis	B	6	3–3	50%	-0.02
ancient	D	6	1–5	17%	-0.04
train	C	5	2–3	40%	0.04
fachwerk	—	4	2–2	50%	0.00
vertigo	—	2	1–1	50%	-0.04
boulder	—	1	1–0	100%	0.13
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches

47%Win rate

0.61Avg K/D

—ADR

35%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.79	9.0
Nuke	2	0%	0.77	14.0
Anubis	1	0%	0.40	6.0

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.

16.2%Headshot accuracy

35.0%Accuracy (enemy spotted)

34.1%Spray accuracy

84.8%Counter-strafing

8.6°Preaim

596msReaction time

32.2%T opening success

49.0%CT opening success

0.49Enemies flashed / flash

5.1%Flash assists

14.51HE damage / grenade

2.74Flashes / 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 0.4916 — 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 32.1738% — 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.

17% win rate across 6 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
nuke	15–15	-0.04	15%	27 Aug →
mirage	13–9	0.01	22%	27 Aug →
cache	13–1	-0.01	8%	27 Aug →
cache	8–13	-0.03	16%	26 Aug →
fachwerk	13–8	-0.02	18%	25 Aug →
cache	7–13	-0.06	26%	23 Aug →
inferno	13–2	-0.00	16%	23 Aug →
anubis	9–13	-0.09	10%	23 Aug →
inferno	13–8	-0.02	18%	23 Aug →
mirage	13–4	0.09	20%	22 Aug →
mirage	5–13	0.00	7%	22 Aug →
dust2	10–13	-0.07	21%	22 Aug →
cache	13–10	-0.06	17%	21 Aug →
inferno	14–16	-0.00	15%	18 Aug →
cache	13–11	-0.04	18%	15 Aug →
inferno	13–7	-0.02	10%	15 Aug →
nuke	13–11	-0.04	16%	14 Aug →
mirage	6–13	-0.04	13%	14 Aug →
ancient	11–13	-0.09	4%	14 Aug →
ancient	11–13	-0.05	9%	13 Aug →
dust2	13–10	0.04	31%	13 Aug →
ancient	3–13	-0.09	9%	12 Aug →
train	13–11	0.09	37%	12 Aug →
cache	5–13	0.02	21%	11 Aug →
vertigo	13–5	0.02	8%	7 Aug →
cache	13–3	0.13	30%	7 Aug →
cache	13–8	-0.09	14%	6 Aug →
anubis	11–13	-0.00	16%	6 Aug →
cache	16–13	-0.04	4%	5 Aug →
nuke	13–8	0.04	19%	5 Aug →
inferno	13–10	-0.04	17%	4 Aug →
train	3–13	0.03	18%	1 Aug →
inferno	2–13	-0.03	19%	1 Aug →
mirage	13–3	-0.02	8%	31 Jul →
cache	13–7	0.11	24%	30 Jul →
cache	13–11	-0.06	24%	29 Jul →
nuke	7–13	0.00	14%	28 Jul →
mirage	3–13	0.03	35%	28 Jul →
inferno	5–13	-0.05	6%	28 Jul →
dust2	9–13	-0.05	24%	22 Jul →
anubis	13–10	-0.06	10%	22 Jul →
mirage	4–13	-0.03	24%	22 Jul →
inferno	13–7	-0.05	17%	22 Jul →
cache	16–14	-0.01	23%	21 Jul →
dust2	13–3	0.13	47%	21 Jul →
mirage	13–5	0.07	20%	21 Jul →
inferno	15–15	-0.07	13%	19 Jul →
dust2	11–13	0.04	9%	19 Jul →
cache	8–13	-0.03	21%	18 Jul →
dust2	13–1	0.04	18%	18 Jul →
inferno	13–9	-0.02	24%	18 Jul →
dust2	13–10	0.05	21%	18 Jul →
mirage	16–12	-0.02	17%	18 Jul →
cache	13–9	0.02	11%	17 Jul →
anubis	13–11	0.04	19%	17 Jul →
nuke	10–13	-0.01	18%	17 Jul →
dust2	8–13	-0.05	6%	16 Jul →
nuke	13–11	-0.03	17%	16 Jul →
cache	13–11	-0.02	13%	16 Jul →
dust2	13–10	0.05	50%	16 Jul →
mirage	13–9	0.03	19%	15 Jul →
anubis	2–13	0.04	23%	15 Jul →
nuke	13–11	-0.01	22%	15 Jul →
cache	7–13	0.02	20%	15 Jul →
fachwerk	12–12	-0.02	13%	14 Jul →
nuke	13–2	0.03	31%	14 Jul →
cache	9–13	-0.04	18%	13 Jul →
fachwerk	13–4	0.04	15%	13 Jul →
train	12–12	-0.01	19%	13 Jul →
anubis	13–10	-0.03	13%	12 Jul →
mirage	8–6	0.09	18%	12 Jul →
ancient	15–15	-0.05	26%	12 Jul →
dust2	8–13	0.03	22%	12 Jul →
inferno	9–13	-0.03	31%	11 Jul →
nuke	13–10	0.03	12%	11 Jul →
mirage	13–8	0.10	19%	11 Jul →
dust2	10–13	-0.07	12%	11 Jul →
mirage	4–13	-0.03	18%	11 Jul →
fachwerk	9–13	0.02	16%	11 Jul →
boulder	13–5	0.13	13%	10 Jul →
mirage	14–16	0.06	11%	9 Jul →
cache	13–10	0.05	20%	9 Jul →
dust2	7–13	0.00	17%	8 Jul →
overpass	12–12	-0.01	12%	8 Jul →
inferno	11–13	-0.05	12%	6 Jul →
ancient	11–13	-0.03	28%	6 Jul →
train	7–13	0.06	42%	6 Jul →
vertigo	1–13	-0.09	5%	6 Jul →
inferno	13–6	0.06	5%	3 Jul →
nuke	13–11	-0.04	10%	3 Jul →
ancient	13–5	0.09	13%	3 Jul →
dust2	13–3	0.06	11%	3 Jul →
cache	9–13	-0.06	14%	2 Jul →
nuke	10–13	0.06	21%	2 Jul →
train	13–4	0.05	20%	2 Jul →
mirage	7–13	0.09	26%	2 Jul →
cache	10–13	-0.00	24%	1 Jul →
dust2	12–12	0.02	23%	1 Jul →
cache	7–13	-0.03	46%	1 Jul →
mirage	13–11	0.02	8%	1 Jul →