Praetor — CS2 Stats

US76561198119812650[U:1:159546922]Steam profile ↗✓ No bans

1,748Tracked matches60%Win rate2020Tracked since

1,184Hours in CS

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating26,135Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1682 of 17366 tracked

FaceitLevel 8 · 1,547 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning57

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY58–37–5Last 10058%Win rateWLWWLWLLLL

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

Player DNA

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

Aim8.1

Aggression6.0

Utility4.0

Positioning5.7

Opening Duels2.2

Clutch2.8

Limited 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 Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

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

Reaction time. 554ms 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

Positioning5.7

Utility4.0

Mechanics6.7

Opening Duels2.2

Win Impact8.3

Composite 6.5/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time546ms−51ms

first ⅓ avg 597ms → last ⅓ avg 546ms

Headshot accuracy16.6%−4.0%

first ⅓ avg 20.5% → last ⅓ avg 16.6%

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

0.30Best rating — vertigo 13–0

13–0Biggest win — vertigo

7Longest win streak

12–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 71% over 7anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	0.02
mirage	A	19	12–7	63%	0.03
inferno	A	16	9–7	56%	0.02
ancient	B	10	5–5	50%	0.01
nuke	A	7	4–3	57%	-0.00
overpass	S	7	5–2	71%	0.04
cache	S	6	4–2	67%	0.03
anubis	D	5	1–4	20%	0.02
train	—	3	1–2	33%	0.03
vertigo	—	3	2–1	67%	0.15
italy	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

55,284Lifetime kills

1.21K/D · Top 25% of tracked players

2,806Matches

48.0%Match win rate · Top 50% of tracked players

44.0%Headshot %

7.2%Shot accuracy

7,030MVPs

1,184Hours (in match)

2,976Bombs planted

915Bombs defused

Most-used weapons

AK-4721,583

M4A4 / M4A1-S9,752

P2000 / USP-S3,527

AWP3,502

Desert Eagle2,967

Galil AR2,670

Glock-182,486

MP91,825

MAC-10954

FAMAS950

Lifetime map wins

7,083dust2

5,266inferno

3,882vertigo

1,469nuke

313train

104italy

47office

29lake

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

Faceit stats

Combat

234Matches

56%Win rate

1.33Avg K/D

90.7ADR

45%Headshot %

Clutches & streaks

34%1v1 clutch win

30%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	63	63%	1.39	17.6
Vertigo	42	67%	1.50	18.7
Inferno	32	50%	1.33	17.4
Ancient	20	45%	1.25	19.2
Overpass	18	50%	1.61	18.2
Anubis	17	35%	1.30	18.5
Dust2	11	55%	1.22	15.6
Nuke	7	57%	1.32	16.9

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.

16.3%Headshot accuracy

39.1%Accuracy (enemy spotted)

40.2%Spray accuracy

80.3%Counter-strafing

8.6°Preaim

554msReaction time

32.8%T opening success

45.1%CT opening success

0.62Enemies flashed / flash

9.8%Flash assists

4.18HE damage / grenade

4.74Flashes / 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.

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 32.7719% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	0.02	18%	26 Aug →
dust2	9–13	-0.08	16%	26 Aug →
mirage	13–10	-0.03	13%	26 Aug →
cache	13–3	0.10	9%	25 Aug →
ancient	10–13	-0.02	13%	24 Aug →
dust2	13–6	-0.03	15%	24 Aug →
nuke	5–13	-0.01	16%	24 Aug →
mirage	9–13	0.03	22%	24 Aug →
inferno	5–13	-0.03	8%	24 Aug →
dust2	8–13	-0.03	18%	23 Aug →
mirage	7–13	-0.05	14%	18 Aug →
ancient	13–10	0.02	15%	18 Aug →
anubis	7–13	-0.00	15%	18 Aug →
mirage	13–11	0.04	19%	18 Aug →
dust2	13–6	-0.00	9%	15 Aug →
mirage	6–13	0.03	22%	15 Aug →
cache	13–9	0.02	21%	15 Aug →
cache	13–10	0.03	15%	15 Aug →
mirage	10–13	0.04	20%	15 Aug →
anubis	5–13	-0.01	14%	15 Aug →
nuke	13–11	-0.02	12%	14 Aug →
mirage	13–7	0.02	25%	13 Aug →
mirage	16–14	0.06	14%	12 Aug →
ancient	13–10	-0.03	19%	12 Aug →
dust2	13–8	0.03	25%	12 Aug →
ancient	5–13	-0.00	13%	12 Aug →
dust2	16–13	-0.01	7%	10 Aug →
anubis	13–8	0.08	16%	10 Aug →
italy	13–11	0.00	26%	15 May →
inferno	2–9	-0.04	16%	15 May →
cache	13–4	0.06	17%	15 May →
cache	12–12	-0.00	26%	15 May →
cache	12–12	-0.02	17%	15 May →
anubis	8–13	0.03	10%	9 Apr →
train	13–11	0.01	18%	7 Apr →
dust2	13–3	0.01	15%	7 Apr →
dust2	13–9	0.01	29%	24 Mar →
mirage	13–4	0.06	23%	24 Mar →
mirage	10–13	-0.00	14%	24 Mar →
inferno	16–14	0.04	12%	24 Mar →
anubis	8–13	0.02	11%	24 Mar →
mirage	13–10	0.02	23%	18 Mar →
inferno	8–8	0.13	12%	5 Jan →
nuke	13–3	0.04	20%	5 Jan →
overpass	13–9	-0.01	8%	3 Jan →
dust2	13–7	0.07	13%	3 Jan →
inferno	13–6	0.16	14%	3 Jan →
dust2	7–13	-0.05	24%	1 Jan →
nuke	11–13	0.05	16%	27 Dec →
dust2	13–9	0.11	21%	27 Dec →
inferno	7–1	0.05	36%	23 Dec →
dust2	12–12	0.09	18%	20 Dec →
vertigo	13–0	0.30	21%	20 Dec →
dust2	13–2	0.19	7%	20 Dec →
dust2	8–13	0.04	15%	19 Dec →
inferno	13–9	0.02	30%	14 Nov →
mirage	16–14	0.08	18%	14 Nov →
dust2	12–12	0.06	12%	9 Nov →
ancient	4–13	0.04	13%	9 Nov →
inferno	10–13	-0.07	18%	9 Nov →
mirage	13–8	0.14	34%	8 Nov →
overpass	13–2	-0.01	11%	7 Oct →
overpass	19–17	0.09	23%	7 Oct →
ancient	13–4	-0.01	28%	2 Oct →
dust2	13–9	0.01	16%	2 Oct →
dust2	13–11	0.06	18%	2 Oct →
dust2	13–8	0.04	21%	2 Oct →
dust2	13–16	-0.02	11%	26 Sept →
train	10–13	0.00	12%	26 Sept →
train	8–13	0.09	16%	26 Sept →
nuke	13–9	-0.03	27%	26 Sept →
inferno	13–7	0.10	13%	25 Sept →
overpass	14–16	-0.00	14%	25 Sept →
dust2	13–16	0.02	17%	25 Sept →
mirage	13–7	0.04	21%	25 Sept →
overpass	13–5	0.10	19%	25 Sept →
ancient	13–7	0.01	15%	24 Sept →
overpass	13–8	0.05	19%	24 Sept →
inferno	9–13	-0.04	15%	24 Sept →
dust2	13–4	0.06	23%	24 Sept →
overpass	9–13	0.08	20%	19 Sept →
dust2	13–11	-0.02	36%	19 Sept →
mirage	7–13	-0.07	20%	19 Sept →
dust2	2–13	0.00	29%	18 Sept →
inferno	13–9	-0.01	16%	17 Sept →
mirage	13–4	0.06	27%	17 Sept →
mirage	13–3	0.10	19%	16 Sept →
ancient	10–13	0.06	100%	16 Sept →
ancient	16–13	0.08	12%	15 Sept →
ancient	10–13	-0.04	9%	15 Sept →
inferno	13–5	-0.02	24%	15 Sept →
mirage	13–11	-0.05	21%	10 Sept →
nuke	4–9	-0.06	16%	8 Sept →
inferno	3–13	-0.04	22%	8 Sept →
vertigo	6–9	0.02	20%	7 Sept →
inferno	9–5	0.05	22%	7 Sept →
vertigo	9–2	0.12	12%	7 Sept →
inferno	10–13	0.01	9%	7 Sept →
inferno	13–9	0.03	9%	3 Sept →
mirage	8–13	-0.02	17%	3 Sept →