theoph — CS2 Stats

76561197976683570[U:1:16417842]

2,471Tracked matches43%Win rate2020Tracked since

CSDB Rating4.9 DevelopingSupport

Premier CS Rating16,567Purple band · top ~22.2% of ranked players (population est.)

CSDB Leaderboard#9681 of 16160 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning46

Utility79

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWLLLLWLLLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.2

Aggression4.7

Utility7.9

Positioning4.6

Opening Duels1.5

Clutch0.0

Effective flashesHigh utility contribution

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: higher utility contribution; 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

Strengths

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Reaction time. 701ms 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

Aim4.2

Positioning4.6

Utility7.9

Mechanics7.4

Opening Duels1.5

Win Impact2.8

Composite 4.9/10 (Developing), 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 0.01 → last ⅓ avg -0.02

Reaction time708ms+19ms

first ⅓ avg 690ms → last ⅓ avg 708ms

Headshot accuracy16.8%+0.8%

first ⅓ avg 16.0% → last ⅓ avg 16.8%

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

0.12Best rating — mirage 13–4

13–2Biggest win — dust2

5Longest win streak

7–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 57% over 7overpassWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	27	13–14	48%	-0.00
dust2	C	25	9–16	36%	-0.01
ancient	B	14	7–7	50%	-0.00
mirage	C	8	3–5	38%	-0.00
cache	C	7	3–4	43%	-0.01
nuke	A	7	4–3	57%	0.01
overpass	D	7	2–5	29%	-0.01
anubis	—	4	3–1	75%	-0.00
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

561Matches

49%Win rate

1.16Avg K/D

73.6ADR

41%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	120	43%	1.06	17.0
Inferno	117	57%	1.09	16.3
Ancient	100	49%	1.23	16.8
Overpass	54	59%	1.32	18.8
Dust2	34	44%	1.08	17.0
Anubis	31	23%	0.90	14.2
Nuke	22	45%	0.99	15.4

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.

16.8%Headshot accuracy

35.2%Accuracy (enemy spotted)

37.0%Spray accuracy

83.1%Counter-strafing

15.5°Preaim

701msReaction time

32.3%T opening success

40.1%CT opening success

0.72Enemies flashed / flash

15.1%Flash assists

9.78HE damage / grenade

16.65Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.4568° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 701.2334ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Overpass

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.03	16%	18 Aug →
inferno	6–13	-0.04	17%	18 Aug →
dust2	4–13	-0.07	12%	18 Aug →
cache	10–13	-0.05	20%	17 Aug →
dust2	8–13	-0.01	22%	17 Aug →
inferno	13–9	0.01	28%	5 Aug →
anubis	7–13	-0.06	25%	5 Aug →
dust2	3–13	-0.06	13%	5 Aug →
ancient	8–13	-0.04	16%	1 Aug →
dust2	5–13	-0.08	5%	1 Aug →
inferno	9–13	-0.04	5%	1 Aug →
mirage	5–13	-0.01	9%	1 Aug →
dust2	13–7	0.01	22%	1 Aug →
cache	16–12	-0.01	12%	29 Jul →
ancient	13–11	-0.01	11%	29 Jul →
dust2	13–2	-0.03	19%	29 Jul →
anubis	13–4	0.02	21%	29 Jul →
dust2	11–13	0.04	17%	29 Jul →
mirage	9–13	-0.04	9%	29 Jul →
dust2	1–13	-0.05	7%	29 Jul →
ancient	13–11	-0.03	21%	24 Jul →
ancient	13–4	-0.01	22%	24 Jul →
cache	11–13	-0.03	12%	24 Jul →
ancient	13–8	-0.03	20%	24 Jul →
dust2	3–13	-0.05	12%	24 Jul →
inferno	13–7	-0.03	17%	24 Jul →
cache	11–13	0.03	13%	24 Jul →
cache	13–10	0.01	29%	10 Jul →
inferno	8–13	-0.03	31%	10 Jul →
nuke	13–9	0.06	19%	10 Jul →
cache	10–13	-0.06	19%	2 May →
cache	13–8	0.03	21%	2 May →
dust2	11–13	0.00	16%	26 Mar →
inferno	13–11	0.05	18%	26 Mar →
inferno	5–13	-0.02	41%	4 Mar →
anubis	13–10	-0.01	13%	4 Mar →
inferno	13–7	0.05	33%	4 Mar →
dust2	13–6	0.08	26%	1 Mar →
nuke	13–4	-0.02	24%	1 Mar →
inferno	7–13	-0.00	26%	1 Mar →
dust2	6–13	-0.03	29%	27 Feb →
ancient	13–9	-0.01	11%	27 Feb →
anubis	16–14	0.04	7%	27 Feb →
dust2	8–13	-0.03	22%	26 Feb →
inferno	13–7	-0.01	7%	25 Feb →
nuke	6–13	-0.03	23%	25 Feb →
dust2	13–10	-0.00	22%	25 Feb →
inferno	8–13	-0.00	21%	23 Feb →
ancient	15–15	0.07	20%	23 Feb →
mirage	13–4	0.12	18%	23 Feb →
dust2	1–13	-0.03	27%	20 Feb →
overpass	13–7	0.02	8%	20 Feb →
dust2	9–13	-0.06	11%	19 Feb →
mirage	13–6	-0.03	17%	19 Feb →
inferno	13–11	0.00	16%	19 Feb →
dust2	8–13	-0.08	20%	18 Feb →
dust2	16–14	0.03	23%	18 Feb →
ancient	9–13	-0.01	20%	18 Feb →
inferno	6–13	-0.01	19%	25 Jan →
overpass	13–8	-0.03	11%	25 Jan →
inferno	9–2	-0.06	5%	25 Jan →
overpass	3–13	-0.01	19%	28 Dec →
overpass	15–15	-0.02	11%	28 Dec →
dust2	13–5	0.00	16%	28 Dec →
ancient	13–8	0.01	19%	28 Dec →
inferno	13–6	0.05	24%	3 Dec →
dust2	13–10	0.04	19%	3 Dec →
mirage	9–13	0.03	31%	3 Dec →
inferno	4–13	-0.01	21%	24 Nov →
dust2	13–7	0.02	21%	24 Nov →
ancient	16–12	0.05	30%	24 Nov →
inferno	8–13	-0.06	22%	24 Nov →
ancient	9–13	0.05	31%	29 Oct →
train	13–9	0.02	14%	28 Oct →
inferno	13–6	-0.02	16%	28 Oct →
inferno	6–13	-0.00	10%	27 Oct →
overpass	9–13	-0.04	7%	27 Oct →
nuke	13–16	0.08	17%	27 Oct →
dust2	15–15	0.06	18%	27 Oct →
dust2	13–16	0.07	17%	18 Oct →
inferno	13–10	0.02	10%	18 Oct →
nuke	13–8	0.04	20%	18 Oct →
dust2	15–15	0.02	11%	18 Oct →
overpass	10–13	0.01	17%	17 Oct →
inferno	16–13	0.02	19%	17 Oct →
inferno	10–13	0.04	22%	16 Oct →
inferno	10–13	-0.04	20%	9 Oct →
ancient	3–13	-0.04	12%	9 Oct →
ancient	2–13	-0.05	16%	6 Sept →
inferno	13–6	-0.02	9%	17 Aug →
inferno	12–12	-0.04	16%	22 Jun →
nuke	8–13	-0.02	14%	22 Jun →
nuke	13–10	-0.02	13%	20 Jun →
mirage	5–13	-0.00	5%	20 Jun →
inferno	13–6	-0.00	15%	20 Jun →
mirage	3–13	-0.06	14%	16 Jun →
overpass	8–13	0.00	8%	16 Jun →
dust2	13–2	0.06	5%	16 Jun →
inferno	9–13	0.06	19%	16 Jun →
ancient	11–13	-0.02	10%	16 Jun →