Infa

Infa — CS2 Stats

76561198059544471[U:1:99278743]Steam profile ↗✓ No bans

445Tracked matches58%Win rate2020Tracked since
1,891Hours in CS
CSDB Rating6.4 SolidSupport
CSDB Leaderboard#88385 of 252223 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,611 +1,464 23 Apr – 18 Jan · 18 days played
18,14723,527peak 23,52723 Apr18 Jan
23,820Peak Premier in tracked matches
52Days played since 2025-04-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim74
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWWWLLWLLLT

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.0pp headshot accuracy · −45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim7.4
Utility6.2
Positioning4.8
Opening Duels3.2
Clutch0.0

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 563ms 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

Aim7.4
Positioning4.8
Utility6.2
Mechanics8.4
Opening Duels2.7
Win Impact7.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time570ms−31ms
first ⅓ avg 601ms → last ⅓ avg 570ms
Headshot accuracy16.1%−1.1%
first ⅓ avg 17.2% → 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.

Personal bests

0.12Best match rating · 13–4 · ancient, 12 Jul →
40%Best headshot accuracy · 13–11 · train, 29 May →
430msFastest reaction time · 13–6 · ancient, 31 Jul →
13–0Biggest win · dust2, 19 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 86% over 7infernoWeakest map · 50% over 22
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%-0.01
infernoB2211–1150%-0.01
nukeA116–555%-0.00
anubisA74–357%-0.02
trainS76–186%0.00
overpassA53–260%-0.03
cache—41–325%0.01
dust2—42–250%-0.02
grail—41–325%-0.03
mirage—31–233%0.01
jura—33–0100%-0.00
agency—22–0100%0.04
office—20–20%0.02
vertigo—10–10%-0.00
italy—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,813Lifetime kills
1.04K/D · Top 50% of tracked players
5,166Matches
43.1%Match win rate
47.9%Headshot % · Top 50% of tracked players
16.5%Shot accuracy · Top 25% of tracked players
11,400MVPs
1,891Hours (in match)
3,176Bombs planted
772Bombs defused

Most-used weapons

AK-4728,983
AWP6,628
P2502,375
UMP-452,269
Tec-91,582

Lifetime map wins

9,231office
7,537inferno
3,528dust2
1,752nuke
1,184train
966vertigo
943cbble
842lake

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

Faceit stats

Combat

17Matches
65%Win rate
1.17Avg K/D
77.0ADR
43%Headshot %

Clutches & streaks

14%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient520%0.7912.0
Anubis3100%1.0914.7
Inferno2100%1.1911.5
Cache20%1.1218.0
Dust21100%2.6716.0

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.

15.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.0%Spray accuracy
87.6%Counter-strafing
9.8°Preaim
563msReaction time
36.6%T opening success
44.9%CT opening success
0.51Enemies flashed / flash
6.2%Flash assists
7.34HE damage / grenade
12.66Flashes / 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 36.5593% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–10.0113%18 Aug →
anubis13–9-0.085%16 Aug →
ancient13–6-0.0418%31 Jul →
inferno4–13-0.0214%28 Jul →
anubis7–13-0.0824%23 Jul →
nuke13–11-0.0310%11 Jul →
cache7–13-0.0424%11 Jul →
inferno9–13-0.0621%11 Jul →
inferno7–13-0.0313%2 Jul →
cache12–120.0619%2 Jul →
cache12–120.0116%29 Apr →
cache13–6-0.0014%29 Apr →
ancient13–11-0.0214%28 Mar →
mirage12–12-0.0311%28 Mar →
dust213–00.0328%19 Mar →
inferno9–13-0.0025%7 Feb →
inferno13–10-0.0420%31 Jan →
inferno11–130.0216%25 Jan →
ancient13–9-0.0221%25 Jan →
nuke13–11-0.0315%24 Jan →
inferno13–6-0.0427%22 Jan →
anubis10–130.0011%22 Jan →
inferno13–10-0.0014%18 Jan →
overpass13–70.0410%17 Jan →
ancient15–15-0.049%17 Jan →
ancient11–13-0.039%11 Jan →
inferno11–13-0.0414%4 Jan →
overpass13–11-0.0116%4 Jan →
train13–8-0.0110%4 Jan →
nuke10–13-0.108%4 Jan →
ancient13–90.0626%30 Nov →
agency13–60.0215%29 Nov →
ancient11–13-0.0122%29 Nov →
office12–12-0.0218%10 Oct →
ancient14–16-0.0317%28 Sept →
train13–50.0222%18 Sept →
ancient3–13-0.0929%18 Sept →
inferno13–7-0.0219%13 Aug →
overpass13–10-0.0212%4 Aug →
mirage5–130.0114%4 Aug →
nuke12–160.0115%29 Jul →
train13–40.0529%29 Jul →
train13–30.0624%27 Jul →
ancient7–13-0.0613%27 Jul →
overpass5–13-0.0823%20 Jul →
inferno13–90.0318%20 Jul →
ancient13–50.0115%20 Jul →
overpass9–13-0.0720%20 Jul →
inferno7–13-0.0424%19 Jul →
inferno10–130.0229%12 Jul →
ancient13–40.1223%12 Jul →
office12–120.0717%11 Jul →
vertigo2–13-0.0019%6 Jul →
agency13–80.0517%6 Jul →
inferno14–160.0424%5 Jul →
dust210–13-0.0332%5 Jul →
ancient8–130.0525%5 Jul →
train12–16-0.0516%15 Jun →
nuke13–90.0721%15 Jun →
ancient10–13-0.0011%15 Jun →
ancient13–5-0.140%15 Jun →
anubis13–110.0212%12 Jun →
ancient4–13-0.0523%12 Jun →
inferno13–90.0415%8 Jun →
jura13–6-0.0219%8 Jun →
ancient13–9-0.009%8 Jun →
inferno13–9-0.0221%1 Jun →
nuke13–16-0.0113%1 Jun →
train13–11-0.0340%29 May →
anubis13–7-0.0324%29 May →
nuke13–10-0.0210%29 May →
italy13–80.0419%29 May →
mirage13–50.0622%29 May →
nuke6–13-0.0413%25 May →
ancient8–13-0.026%25 May →
nuke13–110.0212%24 May →
dust210–13-0.0115%24 May →
train13–5-0.0425%24 May →
inferno13–80.0426%21 May →
inferno13–8-0.0613%21 May →
inferno10–13-0.0516%20 May →
jura13–30.0215%19 May →
anubis13–60.0316%17 May →
ancient13–7-0.0410%14 May →
nuke8–13-0.009%14 May →
inferno13–10.0019%14 May →
anubis6–13-0.0313%13 May →
ancient13–100.0120%13 May →
jura13–11-0.0114%13 May →
grail8–1-0.037%13 May →
grail6–13-0.0726%13 May →
grail4–13-0.057%13 May →
grail9–130.0113%12 May →
ancient13–8-0.0320%3 May →
dust213–11-0.0616%3 May →
inferno15–150.0225%3 May →
ancient13–16-0.0417%2 May →
nuke13–50.1132%2 May →
ancient13–110.0219%1 May →
ancient16–130.0718%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.