incogniTTo

incogniTTo — CS2 Stats

76561197966359495[U:1:6093767]Steam profile ↗✓ No bans

1,642Tracked matches59%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
FaceitLevel 8 · 1,684 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGincogniTToFACEITLevel 8 · 1,684 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55414Last 10055%Win rateTWLWWWWLTL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.0
Aggression6.1
Utility5.9
Positioning5.7
Opening Duels2.6
Clutch3.4

Excellent counter-strafingStrong 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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim8.0
Positioning5.7
Utility5.9
Mechanics8.4
Opening Duels2.6
Win Impact8.1

Composite 6.4/10 (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 0.03 → last ⅓ avg 0.02
Reaction time645ms−53ms
first ⅓ avg 698ms → last ⅓ avg 645ms
Headshot accuracy30.1%−0.6%
first ⅓ avg 30.7% → 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

0.17Best rating — overpass 13–2
130Biggest win — inferno
6Longest win streak
99In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 61% over 36anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A36221461%0.02
infernoB27141352%0.02
anubisC94544%0.02
ancientA95456%0.01
nukeB84450%0.02
mirageA53260%-0.01
overpass42250%0.02
cache21150%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,796Matches
50%Win rate
1.20Avg K/D
86.5ADR
63%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno31554%1.2918.1
Dust221053%1.2718.6
Anubis17641%1.1516.9
Nuke11953%1.2218.0
Ancient11644%1.1416.9
Mirage9741%0.9715.4
Vertigo6551%1.0616.2
Overpass3355%1.2018.3

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.

29.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
34.7%Spray accuracy
88.0%Counter-strafing
9.5°Preaim
646msReaction time
32.7%T opening success
48.4%CT opening success
0.53Enemies flashed / flash
11.9%Flash assists
9.81HE damage / grenade
10.59Flashes / 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 32.6837% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0538%7 Aug
inferno13–100.0325%7 Aug
anubis6–130.0041%7 Aug
cache13–60.1030%2 Aug
dust213–11-0.0135%2 Aug
dust213–8-0.0236%1 Aug
inferno16–130.0429%1 Aug
dust29–13-0.0218%30 Jul
inferno12–120.0626%30 Jul
ancient6–13-0.0525%12 Jun
anubis13–8-0.0220%12 Jun
ancient13–90.0234%12 Jun
dust24–13-0.0127%7 Jun
dust210–130.0228%3 Jun
ancient7–130.0626%3 Jun
nuke16–140.0334%2 Jun
dust216–140.0843%2 Jun
dust213–70.0937%31 May
ancient6–13-0.0131%31 May
ancient13–50.0935%31 May
dust213–70.0228%22 May
mirage13–100.0125%22 May
dust216–13-0.0119%22 May
overpass8–130.0028%22 May
inferno8–13-0.0524%21 May
nuke9–13-0.0026%21 May
inferno5–130.0319%21 May
ancient15–150.0435%20 May
inferno13–110.0829%20 May
dust213–90.0437%20 May
dust213–80.0626%20 May
dust27–13-0.0238%20 May
inferno7–13-0.0643%20 May
dust213–6-0.0540%20 May
inferno13–100.0230%20 May
dust29–13-0.0530%14 May
anubis10–13-0.0120%14 May
dust214–160.0528%14 May
cache12–16-0.0329%9 May
anubis10–130.0426%9 May
inferno19–170.0241%8 May
mirage10–130.0343%8 May
nuke13–9-0.0323%7 May
dust213–100.0436%7 May
inferno13–90.0335%7 May
dust214–160.0027%5 May
inferno11–13-0.0028%5 May
dust213–10.1429%4 May
inferno13–00.0014%4 May
inferno11–130.0326%4 May
overpass4–13-0.0435%12 Mar
ancient13–5-0.0123%12 Mar
inferno11–13-0.0611%12 Mar
mirage13–11-0.0533%12 Mar
nuke3–130.0740%27 Feb
anubis13–110.0939%27 Feb
inferno13–80.0330%27 Feb
nuke11–13-0.0029%27 Feb
dust213–8-0.0330%26 Feb
mirage6–00.0080%26 Feb
dust213–30.1240%26 Feb
inferno6–30.0129%26 Feb
nuke1–13-0.0438%26 Feb
dust28–13-0.0627%24 Feb
anubis2–13-0.0036%24 Feb
dust22–13-0.0634%24 Feb
inferno13–80.0621%24 Feb
dust213–90.0234%24 Feb
anubis11–13-0.0521%23 Feb
nuke13–90.0533%23 Feb
anubis13–110.0129%21 Feb
anubis13–50.0830%21 Feb
dust213–30.1432%21 Feb
inferno13–50.0641%21 Feb
dust213–100.0339%19 Feb
inferno14–160.0839%19 Feb
inferno13–70.0632%18 Feb
overpass13–20.1743%18 Feb
dust27–130.0139%18 Feb
dust26–130.0332%18 Feb
dust27–00.1528%18 Feb
inferno13–80.0323%18 Feb
mirage1–8-0.0527%18 Feb
inferno11–13-0.0422%18 Feb
inferno15–150.0730%18 Feb
dust213–90.0124%15 Feb
inferno13–100.0229%15 Feb
dust213–30.0218%14 Feb
inferno10–13-0.0036%14 Feb
ancient13–6-0.0222%14 Feb
overpass16–14-0.0415%13 Feb
dust28–13-0.0233%13 Feb
dust213–100.0237%13 Feb
ancient13–9-0.0222%11 Feb
nuke13–20.0861%11 Feb
inferno8–130.0730%11 Feb
dust216–130.0839%11 Feb
dust213–50.0525%11 Feb
dust29–130.0120%10 Feb
inferno8–13-0.0631%10 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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