itsChriff — CS2 Stats

76561199098617095[U:1:1138351367]

687Tracked matches47%Win rate2025Tracked since
325Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating14,755Blue band · top ~29.7% of ranked players (population est.)
CSDB Leaderboard#10951 of 16688 tracked
Ladder ranks via Leetify

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CSDB.GGitsChriffPREMIER14,755 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning23
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLWLWLWWLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim3.8
Aggression0.0
Utility5.6
Positioning2.3
Opening Duels0.0
Clutch4.4

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 31% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 682ms 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

Aim3.8
Positioning2.3
Utility5.6
Mechanics4.5
Opening Duels0.2
Win Impact3.9

Composite 3.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time680ms−87ms
first ⅓ avg 767ms → last ⅓ avg 680ms
Headshot accuracy12.6%+1.2%
first ⅓ avg 11.4% → last ⅓ avg 12.6%

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

0.04Best rating — mirage 11–13
132Biggest win — anubis
6Longest win streak
135In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 83% over 6infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%-0.05
anubisA2314961%-0.05
ancientS1510567%-0.04
mirageC104640%-0.03
infernoC83538%-0.03
cacheS65183%-0.05
nukeA53260%-0.06
overpassS54180%-0.06
train3030%-0.07
vertigo1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

8,462Lifetime kills
0.50K/D
867Matches
40.8%Match win rate
29.9%Headshot %
0.5%Shot accuracy
651MVPs
325Hours (in match)
1,017Bombs planted
124Bombs defused

Most-used weapons

Lifetime map wins

2,284dust2
672inferno
400train
203nuke
102office
58vertigo
2militia
1ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

62Matches
45%Win rate
0.44Avg K/D
41.8ADR
28%Headshot %

Clutches & streaks

42%1v1 clutch win
6%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust22438%0.416.5
Anubis1362%0.436.5
Ancient1145%0.508.7
Overpass838%0.417.4
Mirage450%0.478.3
Inferno250%0.488.0

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.

13.0%Headshot accuracy
33.1%Accuracy (enemy spotted)
31.4%Spray accuracy
70.4%Counter-strafing
10.4°Preaim
682msReaction time
8.1%T opening success
31.5%CT opening success
0.60Enemies flashed / flash
4.4%Flash assists
8.58HE damage / grenade
10.39Flashes / 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 12.9784% — below the 15% mark we flag

    Aim Training
  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 8.1104% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0716%28 Aug
anubis13–5-0.0926%28 Aug
ancient6–13-0.065%25 Aug
anubis13–7-0.037%25 Aug
mirage10–13-0.037%24 Aug
ancient13–6-0.053%24 Aug
dust213–9-0.0214%24 Aug
anubis14–16-0.079%23 Aug
inferno10–13-0.0511%23 Aug
dust25–13-0.064%20 Aug
dust29–13-0.0527%20 Aug
anubis13–6-0.0421%18 Aug
anubis9–13-0.067%18 Aug
dust29–13-0.088%18 Aug
mirage7–13-0.068%18 Aug
anubis13–11-0.064%13 Aug
mirage13–10-0.0515%13 Aug
dust213–11-0.0435%11 Aug
mirage13–8-0.0515%11 Aug
ancient13–8-0.0314%11 Aug
ancient9–13-0.0613%8 Aug
cache2–13-0.0611%8 Aug
inferno2–3-0.0310%8 Aug
dust214–16-0.0618%2 Aug
ancient13–11-0.0613%2 Aug
inferno3–13-0.058%2 Aug
ancient13–9-0.0214%2 Aug
anubis12–16-0.0716%2 Aug
anubis13–7-0.0714%2 Aug
nuke11–13-0.0510%1 Aug
vertigo4–13-0.050%1 Aug
nuke6–3-0.0717%29 Jul
nuke3–13-0.0717%29 Jul
dust213–8-0.116%29 Jul
dust213–8-0.0513%29 Jul
anubis13–7-0.0216%28 Jul
dust213–16-0.0712%28 Jul
anubis16–14-0.065%16 Jul
dust28–13-0.0414%15 Jul
dust210–13-0.0621%13 Jul
dust24–13-0.117%13 Jul
inferno6–13-0.006%13 Jul
anubis10–13-0.0612%11 Jul
dust213–80.0229%11 Jul
anubis13–2-0.089%11 Jul
inferno13–10-0.027%11 Jul
nuke13–10-0.0811%11 Jul
inferno13–70.0114%10 Jul
anubis13–10-0.047%9 Jul
dust25–13-0.0513%9 Jul
ancient13–11-0.0511%9 Jul
cache13–10-0.098%7 Jul
cache13–11-0.076%7 Jul
ancient6–13-0.0812%6 Jul
dust213–11-0.046%6 Jul
dust23–13-0.0633%5 Jul
dust26–13-0.0422%5 Jul
anubis2–13-0.0533%5 Jul
anubis13–9-0.008%4 Jul
overpass13–8-0.086%4 Jul
inferno9–13-0.053%4 Jul
ancient16–12-0.1019%4 Jul
dust210–13-0.092%3 Jul
dust213–11-0.0714%3 Jul
cache13–8-0.0413%3 Jul
dust213–9-0.0218%2 Jul
anubis13–11-0.049%2 Jul
anubis5–13-0.089%2 Jul
overpass13–5-0.069%2 Jul
cache13–10-0.065%1 Jul
mirage11–130.0414%1 Jul
anubis13–10-0.0510%28 Jun
anubis13–16-0.0911%26 Jun
ancient13–7-0.0511%26 Jun
anubis16–13-0.0821%25 Jun
anubis1–13-0.0928%23 Jun
anubis8–13-0.068%23 Jun
nuke13–2-0.047%23 Jun
cache13–4-0.016%23 Jun
dust27–13-0.070%22 Jun
mirage11–13-0.0310%22 Jun
ancient13–10-0.048%21 Jun
mirage13–11-0.048%21 Jun
anubis13–60.018%21 Jun
train2–7-0.105%21 Jun
mirage12–12-0.0715%20 Jun
train2–13-0.0417%20 Jun
train10–13-0.0610%20 Jun
ancient10–13-0.0113%19 Jun
overpass13–4-0.0526%19 Jun
ancient13–7-0.0018%19 Jun
ancient13–110.015%19 Jun
mirage0–13-0.0217%18 Jun
dust25–13-0.0319%18 Jun
mirage13–11-0.0110%15 Jun
dust216–12-0.079%14 Jun
dust216–13-0.058%14 Jun
overpass13–9-0.0711%14 Jun
inferno5–13-0.066%14 Jun
overpass9–13-0.0215%13 Jun

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 →