Tjoaks — CS2 Stats

US76561198800625342[U:1:840359614]Steam profile ↗✓ No bans

2,613Tracked matches38%Win rate2020Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim86

Positioning57

Utility33

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLLWLLWLWLL

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

Player DNA

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

Aim8.6

Aggression6.8

Utility3.3

Positioning5.7

Opening Duels2.8

Clutch2.8

Sharp aimerExcellent counter-strafingStrong 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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 86 — 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 53% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms 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

Aim8.6

Positioning5.7

Utility3.3

Mechanics8.8

Opening Duels2.9

Win Impact1.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time642ms−45ms

first ⅓ avg 688ms → last ⅓ avg 642ms

Headshot accuracy28.7%+3.6%

first ⅓ avg 25.1% → last ⅓ avg 28.7%

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 — palais 9–3

13–2Biggest win — anubis

6Longest win streak

L2Current streak

8–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

palaisBest map · 100% over 6ancientWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	-0.00
dust2	A	22	12–10	55%	0.02
ancient	C	14	5–9	36%	-0.02
inferno	C	13	5–8	38%	0.03
anubis	A	7	4–3	57%	0.02
palais	S	6	6–0	100%	0.13
nuke	—	3	2–1	67%	0.05
vertigo	—	3	1–2	33%	0.04
train	—	3	1–2	33%	-0.01
cache	—	2	0–2	0%	-0.02
overpass	—	2	1–1	50%	0.04
office	—	1	0–1	0%	-0.01
basalt	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,494Matches

50%Win rate

1.06Avg K/D

78.2ADR

41%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	160	46%	1.01	15.4
Dust2	127	46%	1.09	17.1
Anubis	123	50%	1.08	16.2
Ancient	80	52%	1.02	15.7
Vertigo	51	55%	1.18	18.0
Inferno	35	49%	1.01	15.7
Nuke	17	47%	1.16	17.3
Train	11	45%	0.78	12.8

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.

28.6%Headshot accuracy

35.4%Accuracy (enemy spotted)

35.7%Spray accuracy

89.8%Counter-strafing

8.4°Preaim

639msReaction time

29.4%T opening success

53.2%CT opening success

0.51Enemies flashed / flash

3.5%Flash assists

10.47HE damage / grenade

4.06Flashes / 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 29.4419% — 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.

36% win rate across 14 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
inferno	13–16	-0.03	19%	22 Jun →
nuke	10–13	-0.01	22%	22 Jun →
dust2	13–7	0.04	26%	22 Jun →
cache	10–13	-0.02	26%	16 Jun →
office	9–13	-0.01	32%	16 Jun →
dust2	13–11	0.01	23%	16 Jun →
ancient	2–13	-0.02	17%	15 Jun →
dust2	13–7	-0.04	44%	14 Jun →
mirage	8–13	-0.02	29%	14 Jun →
dust2	9–13	-0.03	27%	14 Jun →
ancient	9–13	0.03	22%	14 Jun →
dust2	9–13	-0.03	31%	14 Jun →
ancient	16–13	0.05	41%	13 Jun →
mirage	7–13	-0.00	17%	13 Jun →
anubis	2–13	-0.00	23%	13 Jun →
vertigo	7–9	-0.01	43%	13 Jun →
dust2	9–13	0.09	33%	13 Jun →
ancient	13–5	0.07	44%	13 Jun →
anubis	13–11	0.15	30%	13 Jun →
dust2	13–5	0.10	19%	13 Jun →
nuke	16–13	0.03	39%	13 Jun →
inferno	8–8	0.12	35%	28 Apr →
cache	12–12	-0.03	30%	28 Apr →
mirage	5–13	-0.06	31%	18 Jan →
mirage	19–16	0.00	25%	16 Jan →
train	6–13	0.00	30%	14 Jan →
dust2	13–11	-0.01	43%	1 Jan →
dust2	13–10	0.18	31%	20 Dec →
dust2	2–13	0.00	30%	20 Dec →
ancient	8–13	-0.07	17%	20 Dec →
overpass	8–13	0.05	25%	20 Dec →
dust2	9–13	0.03	24%	18 Dec →
mirage	8–13	-0.05	18%	18 Dec →
dust2	15–15	-0.02	25%	18 Dec →
mirage	10–13	-0.07	24%	18 Dec →
mirage	13–11	0.01	32%	17 Dec →
nuke	9–4	0.11	41%	17 Dec →
mirage	13–11	0.13	37%	17 Dec →
inferno	13–8	0.08	32%	17 Dec →
inferno	11–13	0.03	19%	17 Dec →
inferno	13–8	0.09	36%	17 Dec →
ancient	3–13	-0.10	11%	17 Dec →
train	13–8	0.02	30%	17 Dec →
mirage	9–13	0.02	30%	17 Dec →
mirage	13–5	0.08	36%	17 Dec →
dust2	16–13	0.07	23%	17 Dec →
inferno	13–10	0.13	32%	17 Dec →
dust2	13–4	0.09	28%	13 Dec →
overpass	13–10	0.03	20%	13 Dec →
dust2	13–5	0.04	40%	14 Nov →
ancient	16–19	0.03	33%	14 Nov →
inferno	6–13	-0.00	27%	14 Nov →
inferno	6–9	0.09	25%	6 Nov →
vertigo	4–9	0.02	23%	4 Nov →
ancient	13–10	-0.04	12%	25 Oct →
dust2	5–13	-0.01	23%	8 Oct →
mirage	9–13	0.02	16%	3 Oct →
mirage	13–10	0.00	24%	2 Oct →
dust2	10–13	0.01	26%	1 Sept →
dust2	13–7	-0.01	26%	1 Sept →
mirage	8–13	-0.06	31%	21 Aug →
ancient	9–13	0.00	43%	24 Jul →
mirage	13–9	0.12	39%	23 Jul →
mirage	8–13	0.02	22%	28 Jun →
mirage	5–13	0.00	26%	23 Jun →
dust2	13–7	-0.03	19%	16 May →
mirage	13–8	0.02	24%	15 May →
ancient	13–11	-0.02	18%	15 May →
train	2–13	-0.04	59%	14 May →
vertigo	13–10	0.11	57%	14 May →
anubis	13–4	-0.01	16%	14 May →
ancient	3–13	-0.07	36%	14 May →
inferno	9–13	-0.02	24%	14 May →
ancient	2–13	-0.05	4%	4 May →
anubis	4–13	-0.08	13%	4 May →
dust2	13–8	0.01	21%	4 May →
inferno	16–14	-0.01	14%	19 Apr →
ancient	9–13	0.00	17%	18 Apr →
mirage	13–9	0.07	19%	18 Apr →
inferno	13–8	0.05	20%	17 Apr →
ancient	13–9	-0.04	9%	17 Apr →
mirage	13–5	-0.06	12%	14 Apr →
mirage	13–5	-0.01	21%	12 Apr →
inferno	3–9	-0.08	23%	11 Apr →
palais	9–3	0.12	29%	4 Apr →
palais	9–3	0.30	34%	4 Apr →
palais	9–7	0.07	27%	4 Apr →
palais	9–4	0.08	27%	4 Apr →
palais	9–3	0.11	33%	4 Apr →
palais	9–3	0.09	22%	4 Apr →
inferno	8–8	0.00	32%	4 Apr →
dust2	5–13	-0.05	24%	1 Apr →
basalt	12–12	-0.03	30%	1 Apr →
anubis	16–13	0.02	23%	23 Mar →
mirage	5–13	-0.10	31%	7 Mar →
mirage	7–13	-0.05	28%	4 Mar →
dust2	14–16	-0.03	23%	3 Mar →
mirage	10–13	-0.07	29%	2 Mar →
anubis	6–13	0.03	17%	25 Feb →
anubis	13–2	0.04	33%	19 Feb →