pragmatic

pragmatic — CS2 Stats

76561198441728359[U:1:481462631]Steam profile ↗✓ No bans

587Tracked matches47%Win rate2022Tracked since
CSDB Rating5.5 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 587
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 22,629 +6,036 5 Sept – 17 Jan · 28 days played
16,58923,213peak 23,2135 Sept17 Jan
23,350Peak Premier in tracked matches
42Days played since 2025-09-05

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

Performance scores

Aim73
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWWWLLLLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +15.3pp headshot accuracy · −20ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 44%
  • Avg reaction 517ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 38%
  • Avg reaction 593ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 30%
  • Avg reaction 603ms

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 against its own average).

Aim7.3
Utility6.0
Positioning5.0
Opening Duels1.0

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.3
Positioning5.0
Utility6.0
Mechanics6.0
Opening Duels1.3
Win Impact3.9

Composite 5.5/10 (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 rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time602ms−51ms
first ⅓ avg 653ms → last ⅓ avg 602ms
Headshot accuracy29.8%+4.1%
first ⅓ avg 25.7% → last ⅓ avg 29.8%

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

0.18Best match rating · 13–2 · mirage, 14 Dec →
100%Best headshot accuracy · 3–0 · cache, 29 Sept →
188msFastest reaction time · 3–0 · cache, 29 Sept →
13–0Biggest win · ancient, 26 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 23dust2Weakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
ancientS2316–770%0.04
mirageB2210–1245%0.03
dust2C187–1139%0.01
infernoB158–753%-0.01
nukeA85–363%0.05
overpassA85–363%0.02
trainC52–340%0.05
cache—11–0100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.7%Headshot accuracy
35.8%Accuracy (enemy spotted)
33.4%Spray accuracy
77.2%Counter-strafing
11.4°Preaim
603msReaction time
22.1%T opening success
40.6%CT opening success
0.55Enemies flashed / flash
8.0%Flash assists
7.44HE damage / grenade
15.44Flashes / 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 22.0577% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0630%29 Sept →
cache3–00.00100%29 Sept →
nuke13–60.1326%29 Sept →
ancient13–50.0229%17 Sept →
dust23–13-0.0036%17 Sept →
dust25–130.0322%17 Sept →
ancient3–4-0.0427%17 Sept →
dust26–13-0.1133%6 Apr →
mirage13–100.0335%2 Apr →
mirage6–80.1641%27 Mar →
dust26–130.0524%27 Mar →
ancient13–00.1518%26 Mar →
mirage6–130.0223%26 Mar →
dust27–130.0431%26 Mar →
inferno16–140.1030%17 Mar →
inferno13–100.0121%18 Feb →
mirage8–130.0420%18 Feb →
nuke13–50.0521%10 Feb →
mirage4–130.0023%9 Feb →
dust24–13-0.0215%9 Feb →
ancient8–13-0.0221%9 Feb →
dust213–60.1226%25 Jan →
dust29–13-0.0135%17 Jan →
mirage6–130.0132%10 Jan →
ancient13–50.0231%10 Jan →
dust213–110.0435%6 Jan →
mirage13–80.0820%6 Jan →
inferno5–13-0.0924%4 Jan →
dust216–14-0.0431%2 Jan →
mirage13–70.0330%2 Jan →
dust211–13-0.0231%2 Jan →
ancient13–100.0629%30 Dec →
mirage13–10-0.0234%30 Dec →
dust28–13-0.0424%30 Dec →
mirage13–100.0015%30 Dec →
inferno9–13-0.0036%29 Dec →
inferno13–8-0.0824%29 Dec →
mirage12–16-0.0334%28 Dec →
mirage13–20.1831%14 Dec →
overpass2–00.000%14 Dec →
ancient13–70.0748%14 Dec →
nuke7–13-0.0515%13 Dec →
mirage13–50.1130%9 Dec →
inferno8–13-0.0415%9 Dec →
inferno13–110.0026%8 Dec →
ancient13–110.0723%8 Dec →
train7–130.0923%7 Dec →
inferno13–40.0621%7 Dec →
mirage13–90.0123%7 Dec →
train13–10.1023%5 Dec →
ancient13–30.1331%5 Dec →
dust213–80.0341%3 Dec →
nuke13–100.1137%3 Dec →
ancient13–1-0.0013%3 Dec →
overpass13–90.1522%3 Dec →
overpass13–100.0315%30 Nov →
dust26–130.0643%17 Nov →
mirage3–13-0.0517%17 Nov →
ancient13–30.0826%6 Nov →
overpass6–13-0.0325%30 Oct →
ancient13–7-0.1015%30 Oct →
train13–90.0431%30 Oct →
mirage14–160.0335%29 Oct →
ancient11–130.1221%28 Oct →
mirage13–10.1131%28 Oct →
ancient13–20.1327%28 Oct →
ancient7–13-0.0126%23 Oct →
ancient13–50.0925%23 Oct →
overpass10–130.0425%23 Oct →
inferno13–10-0.0535%23 Oct →
mirage9–13-0.0227%22 Oct →
inferno16–130.0530%22 Oct →
overpass11–13-0.0229%19 Oct →
ancient13–40.0527%19 Oct →
ancient13–70.0324%19 Oct →
dust213–6-0.0230%19 Oct →
ancient5–130.0515%19 Oct →
inferno11–13-0.0430%12 Oct →
mirage10–13-0.0713%12 Oct →
dust26–13-0.0424%12 Oct →
ancient13–40.1233%12 Oct →
nuke13–50.0936%9 Oct →
overpass13–90.0217%9 Oct →
ancient10–13-0.0117%9 Oct →
train7–13-0.0028%25 Sept →
nuke13–110.0427%22 Sept →
inferno6–13-0.0725%17 Sept →
dust213–3-0.0211%17 Sept →
mirage9–13-0.0632%17 Sept →
overpass13–11-0.0518%7 Sept →
inferno6–130.0530%7 Sept →
nuke12–12-0.0128%7 Sept →
ancient6–13-0.0220%7 Sept →
dust213–40.1535%7 Sept →
inferno13–60.0430%7 Sept →
inferno4–13-0.0433%7 Sept →
mirage13–16-0.0317%7 Sept →
ancient16–120.0528%5 Sept →
mirage13–40.0922%5 Sept →
train9–130.0329%5 Sept →

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 →

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