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itech_- — CS2 Stats

76561197961684102[U:1:1418374]

519Tracked matches34%Win rate2020Tracked since
CSDB Rating3.0 Learning
Premier CS Rating13,137Blue band · top ~38.3% of ranked players (population est.)
CSDB Leaderboard#35402 of 53810 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGitech_-FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,137 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning37
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY38–57–5Last 10038%Win rateLLWWLLWLWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim3.7
Aggression1.9
Utility4.3
Positioning3.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Areas to improve

Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning3.7
Utility4.3
Mechanics4.2
Opening Duels0.0
Win Impact0.0

Composite 3.0/10 (Learning), 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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time589ms−2ms
first ⅓ avg 591ms → last ⅓ avg 589ms
Headshot accuracy14.2%+1.4%
first ⅓ avg 12.8% → last ⅓ avg 14.2%

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

0.18Best rating — inferno 9–6
13–1Biggest win — mirage
4Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3016–1453%-0.01
dust2D184–1422%-0.05
nukeD112–918%-0.03
ancientD113–827%-0.03
overpassB105–550%-0.01
infernoD101–910%-0.00
anubisS75–271%-0.02
vertigo—21–150%-0.02
office—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches
45%Win rate
0.94Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%0.9019.0
Overpass10%0.609.0

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.

14.7%Headshot accuracy
28.7%Accuracy (enemy spotted)
30.0%Spray accuracy
68.9%Counter-strafing
11.2°Preaim
588msReaction time
21.0%T opening success
29.2%CT opening success
0.59Enemies flashed / flash
0.0%Flash assists
11.41HE damage / grenade
2.34Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7452% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.3355 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 20.9638% — below the 40% mark we flag

Spend your practice time on Inferno

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0516%12 May →
overpass9–13-0.0212%12 May →
inferno9–60.1812%12 May →
anubis13–10-0.0117%12 May →
mirage5–13-0.045%10 May →
anubis9–13-0.0432%10 May →
nuke13–70.0116%10 May →
ancient2–13-0.083%10 May →
overpass13–3-0.015%10 May →
mirage13–30.0818%29 Apr →
mirage6–130.0111%29 Apr →
overpass13–70.0418%28 Apr →
nuke8–13-0.105%28 Apr →
ancient2–13-0.0710%27 Apr →
ancient13–30.0715%26 Apr →
inferno4–13-0.0118%26 Apr →
inferno7–13-0.0025%9 Apr →
mirage11–13-0.0011%9 Apr →
overpass13–60.0213%9 Apr →
mirage13–50.0917%21 Feb →
mirage16–130.0223%21 Feb →
nuke0–13-0.0611%20 Feb →
nuke13–16-0.0123%20 Feb →
dust210–13-0.075%20 Feb →
mirage13–9-0.0411%20 Feb →
mirage11–130.0719%19 Feb →
dust26–13-0.0717%19 Feb →
ancient2–9-0.0619%19 Feb →
inferno10–13-0.0112%19 Feb →
nuke15–15-0.0413%19 Feb →
mirage7–13-0.0310%19 Feb →
nuke3–13-0.0311%18 Feb →
dust27–13-0.0912%18 Feb →
overpass8–13-0.0121%18 Feb →
mirage13–90.0317%18 Feb →
mirage16–140.0111%17 Feb →
inferno10–130.0114%17 Feb →
ancient1–80.0129%17 Feb →
anubis5–13-0.0511%17 Feb →
ancient11–13-0.0518%5 Feb →
inferno8–13-0.0613%5 Feb →
mirage7–13-0.063%4 Feb →
dust29–13-0.079%4 Feb →
dust215–15-0.0214%4 Feb →
nuke10–13-0.0112%4 Feb →
inferno14–16-0.0214%3 Feb →
mirage9–130.0110%3 Feb →
dust215–15-0.0313%2 Feb →
mirage13–7-0.0410%2 Feb →
overpass15–15-0.0412%2 Feb →
mirage13–7-0.0326%2 Feb →
mirage16–12-0.039%1 Feb →
overpass13–3-0.0315%1 Feb →
mirage16–13-0.0115%1 Feb →
ancient9–13-0.069%31 Jan →
mirage13–11-0.0416%31 Jan →
nuke8–13-0.0137%30 Jan →
inferno9–13-0.0325%30 Jan →
dust26–13-0.079%30 Jan →
overpass7–13-0.0110%30 Jan →
mirage13–40.0117%29 Jan →
nuke11–13-0.0219%29 Jan →
dust213–5-0.0019%29 Jan →
overpass5–13-0.015%29 Jan →
overpass13–3-0.0313%29 Jan →
dust213–100.0018%28 Jan →
nuke16–130.0117%28 Jan →
inferno4–13-0.0814%28 Jan →
nuke3–13-0.056%28 Jan →
mirage9–13-0.057%28 Jan →
ancient7–13-0.0614%28 Jan →
dust213–3-0.0526%28 Jan →
anubis16–13-0.016%23 Jan →
dust210–13-0.0510%23 Jan →
anubis13–11-0.0112%23 Jan →
mirage13–90.0129%22 Jan →
dust213–16-0.0712%22 Jan →
dust213–7-0.0211%22 Jan →
dust27–13-0.1011%22 Jan →
mirage13–11-0.058%22 Jan →
anubis13–6-0.0015%22 Jan →
ancient10–13-0.078%22 Jan →
mirage13–5-0.0611%22 Jan →
mirage10–13-0.0226%22 Jan →
ancient13–5-0.0413%22 Jan →
ancient13–60.0818%22 Jan →
anubis13–9-0.014%22 Jan →
vertigo11–13-0.0324%20 Jan →
vertigo13–9-0.0219%20 Jan →
office13–100.045%20 Jan →
mirage11–13-0.0313%19 Jan →
mirage6–13-0.1017%19 Jan →
dust213–16-0.0710%19 Jan →
mirage13–10.1113%19 Jan →
dust26–13-0.0414%19 Jan →
inferno10–13-0.028%19 Jan →
mirage9–13-0.028%19 Jan →
mirage3–13-0.0713%19 Jan →
dust28–13-0.0710%19 Jan →
mirage15–15-0.029%17 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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