retteF — CS2 Stats

76561198100857185[U:1:140591457]

1,087Tracked matches53%Win rate2020Tracked since

2,860Hours in CS

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating18,046Purple band · top ~16.3% of ranked players (population est.)

CSDB Leaderboard#9153 of 16893 tracked

FaceitLevel 7 · 1,501 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning61

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLLLWLWWLL

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

Player DNA

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

Aim8.1

Aggression7.8

Utility4.7

Positioning6.1

Opening Duels2.9

Clutch3.4

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 b1t 93% playstyle similarity

Most alike: opening-fight frequency, positioning 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

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

Reaction time. 622ms 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

Aim8.1

Positioning6.1

Utility4.7

Mechanics8.1

Opening Duels2.9

Win Impact6.1

Composite 6.5/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time619ms−21ms

first ⅓ avg 640ms → last ⅓ avg 619ms

Headshot accuracy22.5%−0.7%

first ⅓ avg 23.3% → last ⅓ avg 22.5%

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

0.23Best rating — mirage 13–5

13–0Biggest win — dust2

6Longest win streak

4–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	13–9	59%	0.03
dust2	C	21	8–13	38%	0.03
ancient	B	17	8–9	47%	0.03
nuke	C	12	5–7	42%	0.03
anubis	A	9	5–4	56%	0.01
inferno	D	8	2–6	25%	0.05
cache	S	7	5–2	71%	0.02
overpass	—	4	2–2	50%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,359Lifetime kills

1.10K/D · Top 50% of tracked players

4,924Matches

47.1%Match win rate · Top 50% of tracked players

55.9%Headshot % · Top 25% of tracked players

16.5%Shot accuracy · Top 25% of tracked players

12,194MVPs

2,860Hours (in match)

6,140Bombs planted

1,491Bombs defused

Most-used weapons

AK-4774,834

M4A4 / M4A1-S25,648

AWP24,513

P2000 / USP-S12,883

Desert Eagle4,679

Glock-183,548

Negev2,822

UMP-452,614

FAMAS2,186

Five-SeveN2,147

Lifetime map wins

14,605dust2

5,002inferno

2,160train

1,716nuke

1,333cbble

912vertigo

139office

125lake

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

Faceit stats

Combat

181Matches

52%Win rate

1.24Avg K/D

86.4ADR

62%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	49	49%	1.19	16.7
Dust2	35	37%	1.35	18.9
Inferno	21	67%	1.09	15.9
Ancient	21	48%	1.17	17.2
Anubis	20	50%	1.26	16.9
Overpass	11	82%	1.26	16.2
Train	10	60%	1.42	19.2
Vertigo	7	43%	0.96	15.9

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.

22.6%Headshot accuracy

36.5%Accuracy (enemy spotted)

36.2%Spray accuracy

86.4%Counter-strafing

8.5°Preaim

622msReaction time

35.8%T opening success

47.0%CT opening success

0.68Enemies flashed / flash

9.3%Flash assists

7.27HE damage / grenade

5.84Flashes / 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 35.8234% — 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.

25% win rate across 8 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
mirage	13–7	0.00	14%	20 Jul →
ancient	11–13	0.05	28%	20 Jul →
inferno	8–13	0.08	10%	20 Jul →
ancient	5–13	0.02	22%	20 Jul →
mirage	13–11	0.06	21%	17 Jul →
ancient	11–13	0.08	24%	17 Jul →
cache	13–9	-0.01	27%	16 Jul →
cache	16–12	0.01	25%	15 Jul →
anubis	3–13	-0.04	18%	14 Jul →
mirage	11–13	0.05	13%	13 Jul →
mirage	13–5	0.23	18%	12 Jul →
cache	13–11	0.04	24%	12 Jul →
anubis	13–8	-0.01	14%	11 Jul →
ancient	9–13	-0.02	28%	10 Jul →
mirage	13–5	0.06	28%	10 Jul →
dust2	6–13	-0.00	28%	10 Jul →
cache	11–13	0.11	25%	10 Jul →
ancient	13–5	0.01	23%	10 Jul →
dust2	3–9	0.02	17%	9 Jul →
dust2	6–13	0.05	24%	9 Jul →
cache	3–13	-0.05	33%	9 Jul →
mirage	13–7	-0.07	17%	9 Jul →
mirage	7–13	-0.04	24%	9 Jul →
dust2	13–8	0.09	28%	9 Jul →
ancient	13–16	0.02	22%	9 Jul →
cache	13–7	0.03	22%	9 Jul →
anubis	13–5	0.08	20%	9 Jul →
mirage	13–7	0.02	15%	7 Jul →
mirage	13–7	0.03	29%	5 Jul →
cache	13–5	0.02	33%	4 Jul →
dust2	13–2	0.11	27%	4 Jul →
dust2	13–16	0.07	26%	4 Jul →
ancient	9–13	0.01	17%	4 Jul →
dust2	8–13	-0.03	36%	4 Jul →
dust2	11–13	-0.02	18%	4 Jul →
nuke	11–13	0.03	12%	3 Jul →
nuke	13–3	0.08	21%	3 Jul →
inferno	11–13	0.02	19%	3 Jul →
anubis	13–8	0.01	21%	2 Jul →
mirage	4–13	-0.04	18%	2 Jul →
dust2	13–9	0.05	22%	2 Jul →
dust2	16–13	0.09	30%	2 Jul →
nuke	16–14	0.05	23%	2 Jul →
mirage	13–16	0.01	13%	2 Jul →
ancient	16–12	0.05	29%	2 Jul →
mirage	8–13	-0.05	19%	1 Jul →
ancient	10–13	0.02	16%	30 Jun →
anubis	10–13	-0.06	13%	28 Jun →
nuke	9–13	0.06	24%	28 Jun →
dust2	10–13	0.04	14%	28 Jun →
ancient	13–5	-0.01	38%	27 Jun →
dust2	11–13	-0.02	20%	26 Jun →
nuke	13–8	0.00	33%	26 Jun →
overpass	7–13	-0.01	16%	26 Jun →
nuke	15–15	0.02	24%	26 Jun →
nuke	14–16	-0.01	15%	25 Jun →
mirage	13–8	0.01	36%	25 Jun →
inferno	13–9	0.10	20%	25 Jun →
dust2	13–3	0.03	17%	24 Jun →
ancient	13–9	0.04	25%	24 Jun →
inferno	13–8	0.08	30%	24 Jun →
mirage	10–13	0.03	20%	23 Jun →
dust2	7–13	0.05	20%	20 Jun →
ancient	15–15	0.05	25%	20 Jun →
ancient	13–6	0.12	23%	19 Jun →
nuke	13–10	-0.04	21%	19 Jun →
dust2	13–10	0.06	33%	19 Jun →
anubis	10–13	-0.05	24%	19 Jun →
dust2	9–13	0.10	20%	18 Jun →
overpass	13–9	-0.04	15%	18 Jun →
dust2	13–6	0.07	17%	18 Jun →
inferno	4–13	0.08	27%	18 Jun →
anubis	13–4	0.11	14%	18 Jun →
mirage	13–6	0.07	32%	18 Jun →
anubis	13–8	0.02	16%	18 Jun →
mirage	11–13	0.03	20%	17 Jun →
mirage	12–16	0.03	25%	16 Jun →
ancient	8–13	0.03	30%	15 Jun →
nuke	6–13	-0.06	22%	14 Jun →
inferno	11–13	0.11	27%	14 Jun →
mirage	13–6	0.05	40%	14 Jun →
overpass	9–13	-0.04	14%	14 Jun →
ancient	13–7	-0.02	15%	14 Jun →
ancient	13–2	0.05	20%	14 Jun →
nuke	10–13	0.06	30%	12 Jun →
overpass	13–7	0.04	29%	12 Jun →
mirage	13–6	0.12	34%	11 Jun →
dust2	13–0	0.00	0%	11 Jun →
mirage	13–11	0.04	16%	10 Jun →
nuke	13–7	0.11	32%	10 Jun →
inferno	6–13	-0.02	23%	10 Jun →
mirage	13–6	0.02	29%	9 Jun →
inferno	5–13	-0.02	26%	8 Jun →
nuke	15–15	0.02	28%	8 Jun →
mirage	6–13	0.01	21%	7 Jun →
dust2	11–13	-0.00	22%	7 Jun →
anubis	11–13	-0.00	35%	7 Jun →
ancient	13–8	-0.05	24%	7 Jun →
dust2	5–13	-0.08	12%	7 Jun →
dust2	6–13	0.02	29%	5 Jun →