Tackechi — CS2 Stats

PT76561198328966113[U:1:368700385]Steam profile ↗✓ No bans

6,493Tracked matches45%Win rate2020Tracked since

CSDB Rating6.4 SolidHybrid Rifler

FaceitLevel 10 · 2,811 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning54

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateWLLLWWWLLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.2

Aggression6.4

Utility7.0

Positioning5.4

Opening Duels2.8

Clutch3.4

Strong 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 Twistzz 95% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2

Positioning5.4

Utility7.0

Mechanics7.4

Opening Duels2.8

Win Impact3.3

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time563ms−55ms

first ⅓ avg 618ms → last ⅓ avg 563ms

Headshot accuracy23.0%+0.9%

first ⅓ avg 22.0% → last ⅓ avg 23.0%

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

0.17Best rating — overpass 13–4

13–1Biggest win — nuke

7Longest win streak

12–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 77% over 13anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	22	15–7	68%	0.02
ancient	A	19	11–8	58%	0.01
dust2	B	13	7–6	54%	-0.01
inferno	S	13	10–3	77%	0.02
anubis	D	11	3–8	27%	-0.01
nuke	D	9	3–6	33%	-0.01
overpass	—	3	3–0	100%	0.06
train	—	3	1–2	33%	-0.04
eldorado	—	2	1–1	50%	0.04
debris	—	2	2–0	100%	0.10
cache	—	1	0–1	0%	-0.09
poseidon	—	1	0–1	0%	-0.16
sanctum	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,325Matches

51%Win rate

1.06Avg K/D

74.8ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	542	50%	1.03	15.4
Anubis	519	53%	1.00	14.8
Ancient	505	51%	1.03	15.0
Inferno	398	58%	1.11	15.4
Dust2	307	48%	1.00	15.0
Nuke	208	47%	1.06	14.7
Vertigo	126	49%	0.96	15.4
Overpass	62	53%	0.92	13.9

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.

22.9%Headshot accuracy

33.9%Accuracy (enemy spotted)

38.7%Spray accuracy

83.4%Counter-strafing

9.4°Preaim

545msReaction time

33.0%T opening success

49.6%CT opening success

0.67Enemies flashed / flash

8.8%Flash assists

11.30HE damage / grenade

12.04Flashes / 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 32.9792% — 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.

27% win rate across 11 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
mirage	13–7	0.07	36%	28 Aug →
nuke	1–13	-0.06	14%	27 Aug →
ancient	6–13	-0.08	22%	27 Aug →
ancient	11–13	0.01	25%	24 Aug →
ancient	13–11	0.02	17%	24 Aug →
dust2	13–11	-0.01	22%	21 Aug →
mirage	13–2	0.01	18%	20 Aug →
anubis	7–13	-0.04	15%	19 Aug →
mirage	9–13	-0.06	18%	19 Aug →
anubis	11–13	0.03	19%	18 Aug →
mirage	11–13	0.02	31%	17 Aug →
mirage	13–10	-0.01	29%	15 Aug →
anubis	13–11	0.04	33%	14 Aug →
dust2	4–13	-0.00	21%	14 Aug →
dust2	7–13	0.05	21%	14 Aug →
ancient	10–13	0.05	18%	13 Aug →
ancient	1–13	-0.02	31%	12 Aug →
ancient	11–13	-0.04	11%	10 Aug →
mirage	13–5	-0.00	31%	10 Aug →
cache	7–13	-0.09	17%	9 Aug →
anubis	5–13	-0.05	32%	9 Aug →
inferno	5–13	-0.06	21%	3 Aug →
inferno	15–15	0.02	22%	3 Aug →
eldorado	4–9	-0.06	33%	3 Aug →
debris	9–2	0.17	19%	3 Aug →
anubis	13–10	-0.02	17%	29 Jul →
mirage	13–10	0.01	24%	29 Jul →
ancient	13–6	0.01	25%	27 Jul →
dust2	8–13	-0.09	27%	25 Jul →
ancient	13–3	0.05	17%	22 Jul →
mirage	13–3	0.08	20%	20 Jul →
mirage	13–2	0.09	33%	15 Jul →
mirage	13–4	0.07	16%	13 Jul →
eldorado	9–6	0.13	37%	11 Jul →
debris	9–6	0.03	16%	11 Jul →
poseidon	1–9	-0.16	44%	5 Jul →
inferno	9–6	0.04	30%	4 Jul →
sanctum	9–6	0.06	24%	4 Jul →
mirage	9–13	-0.05	14%	4 Jul →
anubis	8–13	0.06	23%	19 Jun →
dust2	13–10	-0.01	23%	18 Jun →
mirage	8–13	0.02	35%	15 Jun →
mirage	13–10	0.07	20%	14 Jun →
anubis	11–13	-0.05	11%	13 Jun →
ancient	13–9	0.07	21%	7 Jun →
mirage	13–9	0.00	27%	7 Jun →
ancient	13–9	0.04	30%	3 Jun →
overpass	13–11	0.05	8%	2 Jun →
ancient	13–3	0.10	18%	30 May →
nuke	10–13	-0.00	19%	26 May →
nuke	9–13	-0.03	21%	24 May →
inferno	16–13	0.04	24%	24 May →
mirage	9–13	-0.04	16%	21 May →
mirage	8–13	0.01	12%	19 May →
dust2	13–9	0.07	14%	17 May →
overpass	13–6	-0.04	21%	2 May →
anubis	6–13	-0.07	17%	26 Apr →
inferno	13–8	0.04	35%	20 Apr →
dust2	13–10	-0.03	6%	20 Mar →
nuke	10–13	-0.03	20%	20 Mar →
ancient	13–9	-0.01	24%	12 Mar →
ancient	13–10	-0.01	28%	11 Mar →
nuke	19–15	0.00	17%	10 Mar →
anubis	13–11	-0.00	23%	23 Feb →
ancient	12–16	-0.01	21%	17 Feb →
anubis	11–13	0.01	17%	9 Feb →
dust2	9–13	-0.07	18%	2 Feb →
anubis	5–13	-0.04	13%	24 Jan →
inferno	13–10	0.07	23%	13 Jan →
inferno	13–11	0.06	19%	30 Dec →
nuke	10–13	-0.03	25%	28 Dec →
mirage	13–4	0.02	18%	28 Dec →
inferno	13–11	-0.01	30%	27 Dec →
train	13–6	-0.01	11%	23 Dec →
inferno	13–11	0.02	19%	20 Dec →
nuke	10–13	-0.03	23%	20 Dec →
inferno	7–13	0.01	17%	20 Dec →
mirage	4–13	-0.01	17%	15 Dec →
ancient	13–9	0.09	19%	9 Dec →
mirage	13–10	0.00	21%	7 Dec →
ancient	13–11	-0.04	21%	2 Dec →
dust2	11–13	-0.01	38%	23 Nov →
inferno	13–5	0.03	28%	23 Nov →
inferno	13–6	-0.01	38%	21 Nov →
mirage	13–3	0.03	22%	20 Nov →
dust2	13–6	-0.01	21%	20 Nov →
mirage	16–14	0.03	16%	19 Nov →
mirage	13–11	-0.01	15%	6 Nov →
overpass	13–4	0.17	35%	26 Oct →
train	11–12	-0.01	21%	26 Oct →
dust2	13–9	-0.01	21%	19 Oct →
dust2	9–13	-0.02	16%	16 Oct →
nuke	13–1	0.12	22%	11 Oct →
ancient	8–13	-0.03	28%	10 Oct →
dust2	13–11	-0.01	26%	10 Oct →
nuke	13–9	0.01	26%	20 Sept →
ancient	20–22	-0.02	17%	6 Sept →
train	9–13	-0.08	18%	29 Aug →
ancient	13–4	0.07	29%	27 Aug →
inferno	13–1	-0.01	15%	17 Aug →