Kitman

Kitman — CS2 Stats

IS76561197961356243[U:1:1090515]Steam profile ↗✓ No bans

1,400Tracked matches63%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating22,660Top 25% of 206,528 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#46631 of 255130 tracked
FaceitLevel 9 · 1,298 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,660 +2,769 16 Aug – 18 Oct · 21 days played
19,82622,660peak 22,66016 Aug18 Oct
Faceit ELO: 1,298 +0 31 Aug – 2 Sept · 2 observations
1,2981,298peak 1,29831 Aug2 Sept
22,660Peak Premier in tracked matches
1,298Highest Faceit ELO seen on CSDB
38Days played since 2026-08-16

Faceit ELO

  • At peak — 1,298
  • Next: Level 7 at 1,351 — 53 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

Premier CS Rating

  • At peak — 22,660
  • +2,462 over 30 days · improving
  • Next: Red band at 25,000 — 2,340 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKitmanFACEITLevel 9 · 1,298 ELOSTANDINGTop 20.7% of rankedPREMIER22,660 · Pink bandPEAK ELO1,298csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning63
Utility62

0–100 skill scores via Leetify.

Recent form

HOT55–44–1Last 10055%Win rateWLWWWWWWWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −6.2pp headshot accuracy · −46ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 556ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 528ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim5.2
Utility6.2
Positioning6.3
Opening Duels2.3
Clutch2.8

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

ZywOo

Plays most like ZywOo 72% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 559ms 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

Aim5.2
Positioning6.3
Utility6.2
Mechanics4.6
Opening Duels3.5
Win Impact9.4

Composite 5.8/10 (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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time561ms−39ms
first ⅓ avg 600ms → last ⅓ avg 561ms
Headshot accuracy15.7%−2.1%
first ⅓ avg 17.8% → last ⅓ avg 15.7%

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

0.11Best match rating · 13–9 · anubis, 8 Sept →
38%Best headshot accuracy · 10–13 · cache, 15 Sept →
422msFastest reaction time · 10–13 · ancient, 11 Oct →
13–0Biggest win · dust2, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%-0.00
ancientA1911–858%-0.01
nukeA149–564%0.00
anubisA138–562%0.01
cacheA127–558%0.01
dust2A95–456%0.00
mirageD82–625%0.00
vertigo—20–20%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

545Matches
53%Win rate
0.96Avg K/D
73.8ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient9857%0.9714.7
Anubis9652%0.9614.6
Inferno9152%1.0015.7
Nuke8058%1.0015.0
Cache4755%0.9314.2
Dust24445%0.9113.4
Mirage2335%0.8212.0
Overpass2055%0.9416.1

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.

15.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.5%Spray accuracy
70.6%Counter-strafing
9.5°Preaim
559msReaction time
49.7%T opening success
38.4%CT opening success
0.60Enemies flashed / flash
4.4%Flash assists
10.17HE damage / grenade
6.80Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3916% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.028%19 Oct →
anubis14–16-0.0510%18 Oct →
cache13–70.0313%18 Oct →
inferno13–5-0.0111%18 Oct →
cache13–80.0311%18 Oct →
ancient13–60.0319%18 Oct →
ancient13–9-0.0413%18 Oct →
anubis13–40.0119%18 Oct →
inferno13–110.0213%18 Oct →
inferno13–16-0.0312%18 Oct →
ancient13–50.0018%17 Oct →
dust24–13-0.0635%17 Oct →
cache8–13-0.0121%17 Oct →
anubis13–80.0614%17 Oct →
inferno19–160.0117%17 Oct →
vertigo8–13-0.0818%17 Oct →
ancient4–13-0.089%17 Oct →
inferno13–30.0729%17 Oct →
nuke16–120.038%17 Oct →
dust213–100.0323%16 Oct →
anubis13–5-0.0410%16 Oct →
dust25–13-0.049%16 Oct →
nuke11–130.0224%16 Oct →
cache7–40.0211%16 Oct →
ancient13–16-0.0216%15 Oct →
anubis8–130.0115%14 Oct →
nuke16–130.0213%14 Oct →
ancient13–9-0.0217%14 Oct →
dust213–100.0017%14 Oct →
inferno6–130.0219%14 Oct →
inferno10–13-0.0219%13 Oct →
anubis13–11-0.0017%13 Oct →
inferno13–90.0513%12 Oct →
ancient10–13-0.067%12 Oct →
anubis13–90.039%11 Oct →
mirage2–13-0.0526%11 Oct →
nuke13–80.0712%11 Oct →
ancient10–130.0317%11 Oct →
ancient5–13-0.0220%10 Oct →
nuke13–100.0317%10 Oct →
ancient13–6-0.0112%10 Oct →
cache9–130.019%10 Oct →
nuke16–13-0.0020%10 Oct →
ancient13–90.0317%10 Oct →
inferno11–13-0.0218%10 Oct →
inferno7–13-0.0410%10 Oct →
anubis3–13-0.0421%9 Oct →
ancient13–60.0615%9 Oct →
dust213–00.0623%7 Oct →
mirage13–10-0.0231%7 Oct →
inferno13–11-0.0326%7 Oct →
inferno13–9-0.069%4 Oct →
anubis13–90.0318%4 Oct →
inferno7–13-0.0327%4 Oct →
nuke10–13-0.0615%4 Oct →
anubis6–13-0.0514%3 Oct →
cache16–14-0.0415%3 Oct →
mirage9–130.0522%3 Oct →
anubis13–2-0.0025%1 Oct →
inferno13–40.0310%30 Sept →
nuke13–9-0.0018%30 Sept →
mirage13–50.0820%30 Sept →
anubis12–160.0414%29 Sept →
dust213–2-0.0226%27 Sept →
mirage5–13-0.0516%27 Sept →
ancient13–80.017%27 Sept →
ancient6–13-0.0124%27 Sept →
dust29–13-0.0019%26 Sept →
cache16–130.0017%16 Sept →
cache10–130.0338%15 Sept →
inferno8–13-0.0727%13 Sept →
ancient13–100.0119%10 Sept →
cache8–130.0120%10 Sept →
anubis13–90.1123%8 Sept →
inferno13–90.0319%8 Sept →
nuke13–100.0512%7 Sept →
nuke13–8-0.0315%1 Sept →
inferno7–13-0.0023%30 Aug →
mirage10–13-0.0520%30 Aug →
inferno9–13-0.0126%29 Aug →
ancient13–30.0513%29 Aug →
nuke9–13-0.0217%28 Aug →
inferno13–80.019%28 Aug →
nuke3–13-0.0514%28 Aug →
dust213–11-0.0210%27 Aug →
mirage3–130.0117%27 Aug →
cache7–13-0.0317%27 Aug →
mirage12–120.0414%26 Aug →
inferno28–250.0214%25 Aug →
ancient8–130.0210%23 Aug →
cache16–140.0120%23 Aug →
inferno3–130.0118%22 Aug →
inferno13–90.0421%21 Aug →
vertigo9–13-0.0313%19 Aug →
nuke11–13-0.0313%19 Aug →
nuke13–9-0.0229%17 Aug →
dust29–130.0425%16 Aug →
cache13–30.0515%16 Aug →
inferno13–2-0.008%16 Aug →
ancient2–13-0.1116%16 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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