the topeka school — CS2 Stats

IT76561198144777452[U:1:184511724]Steam profile ↗

1,041Tracked matches52%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning67

Utility29

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateWWWLWWLWLW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating

Player DNA

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

Aim8.7

Aggression7.9

Utility2.9

Positioning6.7

Opening Duels3.8

Clutch6.4

Sharp aimerStrong CT-side opener

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 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim8.7

Positioning6.7

Utility2.9

Mechanics7.9

Opening Duels3.8

Win Impact5.6

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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time589ms−39ms

first ⅓ avg 627ms → last ⅓ avg 589ms

Headshot accuracy30.1%−3.4%

first ⅓ avg 33.5% → last ⅓ avg 30.1%

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

0.16Best rating — mirage 13–10

13–2Biggest win — mirage

5Longest win streak

W3Current streak

11–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 100% over 5cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	37	20–17	54%	0.02
mirage	A	14	8–6	57%	0.02
warden	C	11	4–7	36%	0.02
dust2	A	9	5–4	56%	0.03
cache	D	7	2–5	29%	0.01
vertigo	A	5	3–2	60%	0.02
train	S	5	5–0	100%	0.05
inferno	—	3	2–1	67%	-0.02
shelter	—	2	2–0	100%	0.04
ancient	—	2	2–0	100%	0.09
office	—	2	0–2	0%	0.01
stronghold	—	1	1–0	100%	0.07
anubis	—	1	1–0	100%	-0.02
alpine	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

196Matches

54%Win rate

1.28Avg K/D

92.2ADR

37%Headshot %

Clutches & streaks

52%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	53%	1.31	19.8
Dust2	8	50%	1.24	20.3
Cache	5	20%	1.32	18.2
Inferno	4	50%	1.22	19.8
Nuke	3	67%	1.46	22.0
Ancient	2	100%	2.02	20.5

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.

30.5%Headshot accuracy

36.6%Accuracy (enemy spotted)

36.8%Spray accuracy

85.4%Counter-strafing

9.8°Preaim

586msReaction time

32.3%T opening success

58.1%CT opening success

0.56Enemies flashed / flash

5.2%Flash assists

4.65HE damage / grenade

7.24Flashes / 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 32.3185% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
shelter	13–11	0.08	46%	10 Jul →
vertigo	13–3	0.01	41%	10 Jul →
shelter	13–11	0.01	43%	10 Jul →
cache	6–13	0.03	33%	10 Jul →
dust2	13–6	0.14	53%	10 Jul →
nuke	13–3	0.03	39%	9 Jul →
dust2	2–13	0.11	21%	9 Jul →
mirage	13–10	0.16	26%	8 Jul →
nuke	11–13	0.04	37%	8 Jul →
cache	13–10	0.08	20%	8 Jul →
nuke	13–10	0.03	42%	8 Jul →
cache	10–13	-0.02	33%	7 Jul →
nuke	12–12	0.00	44%	7 Jul →
cache	0–13	-0.13	10%	5 Jul →
nuke	16–13	0.10	19%	4 Jul →
dust2	16–12	0.05	23%	4 Jul →
dust2	9–13	0.00	21%	4 Jul →
vertigo	4–13	-0.05	31%	3 Jul →
mirage	14–16	0.03	31%	2 Jul →
cache	9–13	0.06	26%	1 Jul →
dust2	8–13	-0.00	25%	1 Jul →
dust2	13–9	0.00	23%	1 Jul →
ancient	13–3	0.13	25%	1 Jul →
mirage	1–13	-0.06	33%	30 Jun →
mirage	13–2	-0.01	34%	30 Jun →
nuke	13–5	-0.00	38%	30 Jun →
cache	13–11	0.06	24%	30 Jun →
mirage	5–13	0.07	33%	29 Jun →
vertigo	5–13	-0.04	15%	29 Jun →
nuke	8–13	-0.09	22%	20 Jun →
office	7–13	0.00	36%	19 Jun →
nuke	13–7	-0.07	14%	19 Jun →
cache	9–13	-0.03	30%	5 Jun →
nuke	13–4	0.01	42%	25 Feb →
nuke	13–5	0.01	42%	24 Feb →
nuke	10–13	0.10	27%	3 Feb →
office	12–12	0.01	35%	31 Jan →
nuke	7–13	0.04	23%	31 Jan →
nuke	13–5	0.03	39%	31 Jan →
nuke	6–13	0.01	39%	31 Jan →
mirage	13–8	0.04	40%	31 Jan →
nuke	13–6	-0.03	33%	31 Jan →
inferno	6–6	0.01	25%	31 Jan →
mirage	8–13	0.02	36%	31 Jan →
nuke	1–8	-0.03	33%	31 Jan →
inferno	13–9	-0.00	19%	31 Jan →
nuke	6–13	-0.07	20%	30 Jan →
mirage	13–6	0.03	34%	30 Jan →
vertigo	13–10	0.15	33%	30 Jan →
train	13–6	0.02	56%	30 Jan →
nuke	4–13	0.02	38%	30 Jan →
nuke	10–13	0.03	44%	29 Jan →
nuke	12–12	0.05	26%	29 Jan →
nuke	10–13	0.05	41%	29 Jan →
train	13–11	0.00	27%	29 Jan →
train	13–4	0.12	44%	29 Jan →
train	13–2	0.01	25%	29 Jan →
mirage	13–11	0.01	30%	29 Jan →
warden	5–13	-0.03	43%	29 Jan →
dust2	13–4	-0.02	28%	29 Jan →
mirage	13–6	-0.04	39%	29 Jan →
nuke	13–10	0.05	45%	29 Jan →
nuke	13–5	0.04	33%	28 Jan →
nuke	13–11	0.03	40%	28 Jan →
mirage	10–13	0.06	29%	28 Jan →
stronghold	13–3	0.07	45%	28 Jan →
warden	7–13	0.06	50%	28 Jan →
nuke	10–13	-0.03	49%	28 Jan →
nuke	13–10	-0.03	38%	28 Jan →
warden	10–13	-0.07	25%	28 Jan →
warden	13–10	0.01	39%	28 Jan →
nuke	13–11	-0.06	30%	27 Jan →
nuke	13–9	0.04	25%	27 Jan →
train	13–10	0.08	34%	27 Jan →
warden	5–13	0.04	53%	27 Jan →
warden	13–7	0.00	38%	27 Jan →
nuke	5–13	-0.04	22%	25 Jan →
dust2	9–13	0.04	28%	25 Jan →
anubis	13–10	-0.02	19%	25 Jan →
nuke	13–11	0.07	28%	25 Jan →
warden	4–13	-0.03	43%	24 Jan →
warden	10–13	-0.03	59%	24 Jan →
warden	13–4	0.10	42%	24 Jan →
nuke	13–10	0.05	35%	24 Jan →
mirage	13–10	-0.01	21%	24 Jan →
nuke	9–13	0.01	22%	24 Jan →
vertigo	13–8	0.03	42%	24 Jan →
warden	13–7	0.15	33%	24 Jan →
ancient	13–4	0.04	24%	24 Jan →
nuke	13–4	0.02	34%	24 Jan →
alpine	13–11	-0.02	34%	24 Jan →
nuke	12–12	0.08	25%	23 Jan →
nuke	13–7	0.07	35%	23 Jan →
mirage	12–12	0.03	36%	23 Jan →
warden	7–13	-0.01	41%	23 Jan →
nuke	11–13	-0.03	25%	23 Jan →
nuke	13–11	0.07	43%	23 Jan →
dust2	13–10	-0.08	37%	23 Jan →
mirage	13–8	-0.02	24%	23 Jan →
inferno	7–13	-0.08	21%	23 Jan →