Tackechi

Tackechi — CS2 Stats

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

6,541Tracked matches41%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 10 · 2,811 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,811 → 2,811
+4Tracked matches · now 6,541
0.0ppWin rate · 41.4% → 41.4%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 76 days played since 29 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 2,811 +0 28 Aug18 Sept · 4 observations
2,8112,811peak 2,81128 Aug18 Sept
2,811Highest Faceit ELO seen on CSDB
76Days played since 2025-08-29

Faceit ELO

  • At peak — 2,811
  • Next: 3,000 ELO at 3,000 189 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTackechiFACEITLevel 10 · 2,811 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,811csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning54
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY56431Last 10056%Win rateLWWLLLWWWL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · −14ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 458ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 526ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 533ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim8.1
Utility7.0
Positioning5.4
Opening Duels3.9
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 31% 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

Aim8.1
Positioning5.4
Utility7.0
Mechanics7.2
Opening Duels2.6
Win Impact2.1

Composite 6.2/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time551ms−66ms
first ⅓ avg 617ms → last ⅓ avg 551ms
Headshot accuracy22.5%+0.7%
first ⅓ avg 21.8% → last ⅓ avg 22.5%

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.

Personal bests

0.17Best match rating · 13–4 · overpass, 26 Oct
44%Best headshot accuracy · 1–9 · poseidon, 5 Jul
422msFastest reaction time · 1–13 · nuke, 27 Aug
13–1Biggest win · nuke, 11 Oct

Across the last 100 tracked matches.

Highlights

7Longest win streak
129In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 75% over 12anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageS2215768%0.02
ancientB1910953%0.01
dust2A148657%-0.01
infernoS129375%0.02
anubisD113827%-0.01
nukeD93633%-0.01
overpass330100%0.06
train31233%-0.04
eldorado21150%0.04
debris220100%0.10
cache1010%-0.09
poseidon1010%-0.16
sanctum110100%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

7,381Matches
51%Win rate
1.06Avg K/D
75.0ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage56050%1.0515.5
Anubis52553%1.0014.8
Ancient51651%1.0315.1
Inferno40958%1.1115.4
Dust231548%1.0115.1
Nuke20947%1.0614.7
Vertigo12649%0.9615.4
Overpass6253%0.9213.9

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.

22.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.7%Spray accuracy
82.4%Counter-strafing
9.4°Preaim
541msReaction time
31.1%T opening success
49.8%CT opening success
0.66Enemies flashed / flash
8.2%Flash assists
12.14HE damage / grenade
12.20Flashes / 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.

  1. 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 31.1344% — 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 & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient3–13-0.0710%9 Sept
dust213–40.0323%5 Sept
mirage13–70.0736%28 Aug
nuke1–13-0.0614%27 Aug
ancient6–13-0.0822%27 Aug
ancient11–130.0125%24 Aug
ancient13–110.0217%24 Aug
dust213–11-0.0122%21 Aug
mirage13–20.0118%20 Aug
anubis7–13-0.0415%19 Aug
mirage9–13-0.0618%19 Aug
anubis11–130.0319%18 Aug
mirage11–130.0231%17 Aug
mirage13–10-0.0129%15 Aug
anubis13–110.0433%14 Aug
dust24–13-0.0021%14 Aug
dust27–130.0521%14 Aug
ancient10–130.0518%13 Aug
ancient1–13-0.0231%12 Aug
ancient11–13-0.0411%10 Aug
mirage13–5-0.0031%10 Aug
cache7–13-0.0917%9 Aug
anubis5–13-0.0532%9 Aug
inferno5–13-0.0621%3 Aug
inferno15–150.0222%3 Aug
eldorado4–9-0.0633%3 Aug
debris9–20.1719%3 Aug
anubis13–10-0.0217%29 Jul
mirage13–100.0124%29 Jul
ancient13–60.0125%27 Jul
dust28–13-0.0927%25 Jul
ancient13–30.0517%22 Jul
mirage13–30.0820%20 Jul
mirage13–20.0933%15 Jul
mirage13–40.0716%13 Jul
eldorado9–60.1337%11 Jul
debris9–60.0316%11 Jul
poseidon1–9-0.1644%5 Jul
inferno9–60.0430%4 Jul
sanctum9–60.0624%4 Jul
mirage9–13-0.0514%4 Jul
anubis8–130.0623%19 Jun
dust213–10-0.0123%18 Jun
mirage8–130.0235%15 Jun
mirage13–100.0720%14 Jun
anubis11–13-0.0511%13 Jun
ancient13–90.0721%7 Jun
mirage13–90.0027%7 Jun
ancient13–90.0430%3 Jun
overpass13–110.058%2 Jun
ancient13–30.1018%30 May
nuke10–13-0.0019%26 May
nuke9–13-0.0321%24 May
inferno16–130.0424%24 May
mirage9–13-0.0416%21 May
mirage8–130.0112%19 May
dust213–90.0714%17 May
overpass13–6-0.0421%2 May
anubis6–13-0.0717%26 Apr
inferno13–80.0435%20 Apr
dust213–10-0.036%20 Mar
nuke10–13-0.0320%20 Mar
ancient13–9-0.0124%12 Mar
ancient13–10-0.0128%11 Mar
nuke19–150.0017%10 Mar
anubis13–11-0.0023%23 Feb
ancient12–16-0.0121%17 Feb
anubis11–130.0117%9 Feb
dust29–13-0.0718%2 Feb
anubis5–13-0.0413%24 Jan
inferno13–100.0723%13 Jan
inferno13–110.0619%30 Dec
nuke10–13-0.0325%28 Dec
mirage13–40.0218%28 Dec
inferno13–11-0.0130%27 Dec
train13–6-0.0111%23 Dec
inferno13–110.0219%20 Dec
nuke10–13-0.0323%20 Dec
inferno7–130.0117%20 Dec
mirage4–13-0.0117%15 Dec
ancient13–90.0919%9 Dec
mirage13–100.0021%7 Dec
ancient13–11-0.0421%2 Dec
dust211–13-0.0138%23 Nov
inferno13–50.0328%23 Nov
inferno13–6-0.0138%21 Nov
mirage13–30.0322%20 Nov
dust213–6-0.0121%20 Nov
mirage16–140.0316%19 Nov
mirage13–11-0.0115%6 Nov
overpass13–40.1735%26 Oct
train11–12-0.0121%26 Oct
dust213–9-0.0121%19 Oct
dust29–13-0.0216%16 Oct
nuke13–10.1222%11 Oct
ancient8–13-0.0328%10 Oct
dust213–11-0.0126%10 Oct
nuke13–90.0126%20 Sept
ancient20–22-0.0217%6 Sept
train9–13-0.0818%29 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →