Incog — CS2 Stats

76561198103878999[U:1:143613271]

1,569Tracked matches46%Win rate2020Tracked since
CSDB Rating6.0 SolidAggressive Rifler
Premier CS Rating23,470Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#6266 of 29365 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGIncogFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,470 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53398Last 10053%Win rateWWLWWLLLLL

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression7.7
Utility4.3
Positioning5.2
Opening Duels3.2
Clutch2.4

Limited 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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 554ms 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

Aim8.3
Positioning5.2
Utility4.3
Mechanics6.9
Opening Duels3.2
Win Impact3.8

Composite 6.0/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time556ms−43ms
first ⅓ avg 599ms → last ⅓ avg 556ms
Headshot accuracy16.1%−0.5%
first ⅓ avg 16.6% → last ⅓ avg 16.1%

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

0.11Best rating — nuke 13–10
132Biggest win — ancient
10Longest win streak
W2Current streak
54In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 71% over 7nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%0.00
dust2C1771041%0.00
infernoA159660%0.02
ancientA116555%-0.00
cacheB105550%0.02
nukeC83538%0.02
overpassS75271%0.02
anubisS64267%-0.00
office2020%0.02
vertigo110100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

618Matches
52%Win rate
1.11Avg K/D
80.3ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis4553%1.0114.6
Mirage4154%1.0217.1
Inferno3858%1.0814.8
Ancient2544%1.0215.6
Overpass1953%0.9815.9
Vertigo1457%1.1717.8
Nuke862%0.8414.0
Dust2540%0.9713.8

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.

15.3%Headshot accuracy
41.0%Accuracy (enemy spotted)
45.7%Spray accuracy
81.0%Counter-strafing
9.7°Preaim
554msReaction time
38.8%T opening success
46.8%CT opening success
0.55Enemies flashed / flash
8.2%Flash assists
10.70HE damage / grenade
1.36Flashes / 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. Grenades & Utility

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

    Flashes per match 1.3569 — below the 4 mark we flag

    Grenade Lineups
  2. 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 38.8326% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0310%19 Aug
inferno13–30.0916%19 Aug
nuke9–13-0.0136%19 Aug
cache13–80.0611%17 Aug
inferno13–50.0614%17 Aug
overpass4–130.0417%16 Aug
mirage6–13-0.0112%16 Aug
cache10–130.0215%15 Aug
nuke3–130.0017%15 Aug
inferno11–13-0.027%15 Aug
mirage10–130.0515%15 Aug
nuke11–13-0.0021%15 Aug
cache13–70.047%15 Aug
dust213–30.0918%15 Aug
cache10–130.0314%15 Aug
anubis13–110.029%15 Aug
ancient13–6-0.0211%15 Aug
ancient12–12-0.0015%15 Aug
cache13–90.0715%15 Aug
mirage5–13-0.108%14 Aug
nuke13–9-0.0113%13 Aug
cache13–90.0324%10 Aug
dust22–13-0.0136%10 Aug
anubis7–130.0014%10 Aug
dust213–3-0.030%10 Aug
inferno12–120.0412%9 Aug
cache4–90.0132%9 Aug
nuke8–130.0217%8 Aug
inferno13–100.0414%8 Aug
inferno7–130.0118%8 Aug
mirage6–130.0525%8 Aug
inferno10–13-0.0214%7 Aug
office9–130.0124%26 Jul
vertigo13–8-0.0111%26 Jul
inferno5–130.0831%26 Jul
nuke13–100.1120%26 Jul
mirage5–13-0.097%25 Jul
anubis13–7-0.0111%25 Jul
mirage13–80.0023%25 Jul
cache15–150.0116%23 Jul
office12–120.0316%23 Jul
inferno13–100.0512%23 Jul
dust215–150.0313%17 Jul
mirage13–100.0117%17 Jul
dust213–9-0.0410%17 Jul
dust25–13-0.0426%17 Jul
mirage13–11-0.0123%17 Jul
cache13–90.0115%7 Jun
overpass13–80.0316%7 Jun
anubis13–110.0311%7 Jun
inferno13–80.0715%7 Jun
dust212–120.0913%6 Jun
cache6–13-0.0623%6 Jun
mirage5–130.0025%6 Jun
dust212–120.0327%6 Jun
ancient13–7-0.0219%6 Jun
overpass13–10-0.0116%16 May
dust210–13-0.0429%15 May
dust213–10-0.0129%15 May
inferno11–130.0119%15 May
dust27–130.0734%28 Mar
mirage13–110.0233%28 Mar
anubis16–120.0228%28 Mar
overpass13–10-0.0316%28 Mar
inferno16–120.006%28 Mar
anubis9–13-0.0717%28 Mar
mirage13–50.0232%28 Mar
inferno13–8-0.0416%27 Mar
ancient10–13-0.0420%27 Mar
dust29–13-0.0413%5 Feb
inferno13–8-0.0420%5 Feb
ancient13–10-0.058%4 Feb
mirage13–50.0514%4 Feb
mirage13–80.0214%25 Dec
dust213–80.0126%25 Dec
dust213–80.0321%24 Dec
ancient13–20.0310%24 Dec
mirage13–90.069%24 Dec
mirage13–40.0413%24 Dec
inferno13–80.0128%24 Dec
mirage12–16-0.0418%24 Dec
overpass9–13-0.0122%24 Dec
dust213–40.0415%24 Dec
ancient9–130.0018%24 Dec
ancient16–130.0821%13 Dec
ancient10–130.0624%13 Dec
mirage15–150.0115%13 Dec
nuke3–60.030%6 Dec
overpass13–60.0211%6 Dec
dust24–13-0.0614%6 Dec
overpass13–70.1023%6 Dec
mirage8–13-0.0424%5 Dec
mirage13–40.0212%3 Oct
dust212–16-0.0210%3 Oct
mirage13–110.0415%3 Oct
mirage13–10-0.0328%2 Oct
ancient11–13-0.0313%2 Oct
mirage6–130.0023%2 Oct
nuke13–90.0115%24 Sept
mirage16–13-0.0117%24 Sept

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →